Auto-update from GitHub

packing_label_hierarchical_mapping.json

@@ -247,11 +247,11 @@
     "category": "accommodation",
     "superclass": "type"
   },
-  "transportation: vehicle": {
+  "transportation: own vehicle": {
     "category": "transportation",
     "superclass": "mode"
   },
-  "transportation: no vehicle": {
+  "transportation: no own vehicle": {
     "category": "transportation",
     "superclass": "mode"
   },

packing_label_structure.json

@@ -69,8 +69,8 @@
     "sleeping in a car"
   ],
   "transportation": [
-    "vehicle",
-    "no vehicle"
+    "own vehicle",
+    "no own vehicle"
   ],
   "special_conditions": [
     "off-grid / no electricity",

packing_templates_self_supported_offgrid_expanded.json

@@ -507,14 +507,14 @@
     "snacks voor de nacht",
     "thermische deken (voor koude nachten)"
   ],
-  "vehicle": [
+  "own vehicle": [
     "rijbewijs",
     "autopapieren",
     "EHBO-set",
     "navigatie of smartphone",
     "telefoonhouder"
   ],
-  "no vehicle": [
+  "no own vehicle": [
     "rugzak",
     "waterfles",
     "lichte schoenen",

results/model_a_facebook-bart-large-mnli_results.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6f5c3b28d1fb60f40fa22ebbe9a32e10f6a81b61beaf376c620eabc6912a72e7
+size 9445

space/gradio_tryout.ipynb

@@ -24,25 +24,59 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "id": "f8c28d2d-8458-49fd-8ebf-5e729d6e861f",
    "metadata": {},
    "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1ba10e0eeac1453b80fdd30f0be2ae09",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "config.json:   0%|          | 0.00/18.5k [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "948fd70d1e004fcdaf1b971ce765cd96",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "model.safetensors:   0%|          | 0.00/738M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Hardware accelerator e.g. GPU is available in the environment, but no `device` argument is passed to the `Pipeline` object. Model will be on CPU.\n"
+      "Error while downloading from https://cdn-lfs.hf.co/repos/02/27/022742fbdf4a76000fe82e4c637df8c93e9d656674860958652c57c433c438c6/d58b81ba665995176104a66f7b7d0b9e2e412564f6b33917e84c4eb920946841?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27model.safetensors%3B+filename%3D%22model.safetensors%22%3B&Expires=1749125341&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTc0OTEyNTM0MX19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy5oZi5jby9yZXBvcy8wMi8yNy8wMjI3NDJmYmRmNGE3NjAwMGZlODJlNGM2MzdkZjhjOTNlOWQ2NTY2NzQ4NjA5NTg2NTJjNTdjNDMzYzQzOGM2L2Q1OGI4MWJhNjY1OTk1MTc2MTA0YTY2ZjdiN2QwYjllMmU0MTI1NjRmNmIzMzkxN2U4NGM0ZWI5MjA5NDY4NDE%7EcmVzcG9uc2UtY29udGVudC1kaXNwb3NpdGlvbj0qIn1dfQ__&Signature=FZegaxqqXa9go3fA9ds9Yb2s-IsYUgtHTnuw1lPpjyIebHawo25TyRPZh1guw30BoPIJUcWlPr8AIxPOK%7EwfLfOccApADwd95kKQRaOxd0QuMY893eflWdmO%7EjwkPNQbn2UpYRIHCcRaKwptMp13LOCPtGHUwYNuM-KVVtK3chpyVCE7pjhhemEKw5bui4LOTOI%7Evird56Dz2PVTao3W5gatzukB5XMi147lEeEU2%7EjPGy9DA62VhG4dN1hU2jnVosYKXnZB0LU5PY%7EOu2xYt12UsZP8jdyFTXfh%7EMXaXqqY-N-i8h75sF15QxEHYGtxUhJJ2Dvtl5aLH6DKK10aEA__&Key-Pair-Id=K3RPWS32NSSJCE: HTTPSConnectionPool(host='cdn-lfs.hf.co', port=443): Read timed out.\n",
+      "Trying to resume download...\n"
      ]
     },
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "First trip: I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands. \n",
-      "\n",
-      "Trip type: ['beach vacation', ['swimming', 'going to the beach', 'relaxing', 'hiking'], 'warm destination / summer', 'lightweight (but comfortable)', 'casual', 'indoor', 'no vehicle', 'no special conditions', '7 days']\n"
-     ]
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1688d5e7ae9d491589b4ff04e415c1b6",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "model.safetensors:  30%|##9       | 220M/738M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -51,9 +85,15 @@
     "from transformers import pipeline\n",
     "import json\n",
     "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pickle\n",
+    "import os\n",
     "\n",
     "# Load the model and create a pipeline for zero-shot classification (1min loading + classifying with 89 labels)\n",
-    "classifier = pipeline(\"zero-shot-classification\", model=\"facebook/bart-large-mnli\")\n",
+    "classifier = pipeline(\"zero-shot-classification\", model=\"sileod/deberta-v3-base-tasksource-nli\")\n",
+    "# tried:\n",
+    "# facebook/bart-large-mnli\n",
+    "# \n",
     "\n",
     "# get candidate labels\n",
     "with open(\"packing_label_structure.json\", \"r\") as file:\n",
@@ -68,9 +108,9 @@
     "trip_types = [trip['trip_types'] for trip in packing_data]\n",
     "\n",
     "# Access the first trip description\n",
-    "first_trip = trip_descriptions[0]\n",
+    "first_trip = trip_descriptions[1]\n",
     "# Get the packing list for the secondfirst trip\n",
-    "first_trip_type = trip_types[0]\n",
+    "first_trip_type = trip_types[1]\n",
     "\n",
     "print(f\"First trip: {first_trip} \\n\")\n",
     "print(f\"Trip type: {first_trip_type}\")"
@@ -78,195 +118,196 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
-   "id": "fed1f8bc-5baf-46e7-8763-9d56fb9c536b",
-   "metadata": {
-    "scrolled": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['beach vacation', 'micro-adventure / weekend trip', 'nature escape', 'digital nomad trip', 'cultural exploration', 'yoga / wellness retreat', 'festival trip', 'long-distance hike / thru-hike', 'hut trek (summer)', 'city trip', 'road trip (car/camper)', 'ski tour / skitour', 'camping trip (campground)', 'snowboard / splitboard trip', 'camping trip (wild camping)', 'hut trek (winter)'], 'scores': [0.37631064653396606, 0.35016775131225586, 0.13397355377674103, 0.031636204570531845, 0.031270742416381836, 0.012846449390053749, 0.012699575163424015, 0.009526746347546577, 0.008148356340825558, 0.007793044205754995, 0.006512156222015619, 0.005669699050486088, 0.0044484627433121204, 0.004113250877708197, 0.002713854657486081, 0.002169555053114891]}\n",
-      "beach vacation\n",
-      "0\n",
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['going to the beach', 'relaxing', 'hiking', 'swimming', 'sightseeing', 'running', 'hut-to-hut hiking', 'biking', 'photography', 'surfing', 'stand-up paddleboarding (SUP)', 'snorkeling', 'yoga', 'kayaking / canoeing', 'rock climbing', 'fishing', 'paragliding', 'rafting', 'horseback riding', 'snowshoe hiking', 'cross-country skiing', 'ice climbing', 'skiing', 'scuba diving', 'ski touring'], 'scores': [0.9914858341217041, 0.9771362543106079, 0.9426282048225403, 0.21901991963386536, 0.17586199939250946, 0.09854521602392197, 0.08370419591665268, 0.03679152950644493, 0.03668990358710289, 0.03099300153553486, 0.025300050154328346, 0.021451234817504883, 0.011070131324231625, 0.0075112744234502316, 0.006306737195700407, 0.0034973458386957645, 0.002655829070135951, 0.00197031581774354, 0.0015599008183926344, 0.001527810120023787, 0.0015017405385151505, 0.0014336870517581701, 0.0011686616344377398, 0.000789369223639369, 0.0004912536824122071]}\n",
-      "['going to the beach', 'relaxing', 'hiking']\n",
-      "1\n",
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['warm destination / summer', 'tropical / humid', 'variable weather / spring / autumn', 'dry / desert-like', 'cold destination / winter'], 'scores': [0.6468702554702759, 0.19999535381793976, 0.09394325315952301, 0.05279730260372162, 0.0063938056118786335]}\n",
-      "warm destination / summer\n",
-      "2\n",
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['minimalist', 'ultralight', 'lightweight (but comfortable)', 'luxury (including evening wear)'], 'scores': [0.4286234974861145, 0.2564568817615509, 0.2147122174501419, 0.10020739585161209]}\n",
-      "minimalist\n",
-      "3\n",
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['casual', 'conservative', 'formal (business trip)'], 'scores': [0.6567223072052002, 0.3034382164478302, 0.039839524775743484]}\n",
-      "casual\n",
-      "4\n",
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['huts with half board', 'indoor', 'sleeping in a car', 'sleeping in a tent'], 'scores': [0.5007699728012085, 0.34074831008911133, 0.10416240990161896, 0.05431929975748062]}\n",
-      "huts with half board\n",
-      "5\n",
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['vehicle', 'no vehicle'], 'scores': [0.7521055936813354, 0.24789436161518097]}\n",
-      "vehicle\n",
-      "6\n",
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['off-grid / no electricity', 'self-supported (bring your own food/cooking)', 'no special conditions', 'pet-friendly', 'rainy climate', 'child-friendly', 'snow and ice', 'high alpine terrain', 'avalanche-prone terrain'], 'scores': [0.46220096945762634, 0.12957870960235596, 0.10651793330907822, 0.09777138382196426, 0.06722460687160492, 0.0632496327161789, 0.04952802509069443, 0.015049820765852928, 0.008878983557224274]}\n",
-      "off-grid / no electricity\n",
-      "7\n",
-      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['7+ days', '2 days', '1 day', '6 days', '3 days', '4 days', '7 days', '5 days'], 'scores': [0.21139054000377655, 0.18512114882469177, 0.14520084857940674, 0.0976138487458229, 0.094282366335392, 0.09376301616430283, 0.09161651134490967, 0.08101171255111694]}\n",
-      "7+ days\n",
-      "8\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "id": "3a762755-872d-43a6-b666-874d6133488c",
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "# Create an empty DataFrame with specified columns\n",
-    "df = pd.DataFrame(columns=['superclass', 'pred_class'])\n",
-    "cutoff = 0.5  # used to choose which activities are relevant\n",
+    "# function that returns pandas data frame with predictions\n",
     "\n",
-    "# fill DataFrame\n",
-    "for i, key in enumerate(keys_list):\n",
-    "    # Run the classification (ca 30 seconds classifying)\n",
-    "    if key == 'activities':\n",
-    "        result = classifier(first_trip, candidate_labels[key], multi_label=True)\n",
-    "        indices = [i for i, score in enumerate(result['scores']) if score > cutoff]\n",
-    "        classes = [result['labels'][i] for i in indices]\n",
-    "    else:\n",
-    "        result = classifier(first_trip, candidate_labels[key])\n",
-    "        classes = result[\"labels\"][0]\n",
-    "    print(result)\n",
-    "    print(classes)\n",
-    "    print(i)\n",
-    "    df.loc[i] = [key, classes]\n",
+    "cut_off = 0.5  # used to choose which activities are relevant\n",
     "\n",
-    "df['true_class'] = first_trip_type"
+    "def pred_trip(trip_descr, trip_type, cut_off):\n",
+    "    # Create an empty DataFrame with specified columns\n",
+    "    df = pd.DataFrame(columns=['superclass', 'pred_class'])\n",
+    "    for i, key in enumerate(keys_list):\n",
+    "        if key == 'activities':\n",
+    "            result = classifier(trip_descr, candidate_labels[key], multi_label=True)\n",
+    "            indices = [i for i, score in enumerate(result['scores']) if score > cut_off]\n",
+    "            classes = [result['labels'][i] for i in indices]\n",
+    "        else:\n",
+    "            result = classifier(trip_descr, candidate_labels[key])\n",
+    "            classes = result[\"labels\"][0]\n",
+    "        print(result)\n",
+    "        print(classes)\n",
+    "        print(i)\n",
+    "        df.loc[i] = [key, classes]\n",
+    "    df['true_class'] = trip_type\n",
+    "    return df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3b4f3193-3bdd-453c-8664-df84f955600c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# function for accuracy, perc true classes identified and perc wrong pred classes\n",
+    "\n",
+    "def perf_measure(df):\n",
+    "    df['same_value'] = df['pred_class'] == df['true_class']\n",
+    "    correct = sum(df.loc[df.index != 1, 'same_value'])\n",
+    "    total = len(df['same_value'])\n",
+    "    accuracy = correct/total\n",
+    "    pred_class = df.loc[df.index == 1, 'pred_class'].iloc[0]\n",
+    "    true_class = df.loc[df.index == 1, 'true_class'].iloc[0]\n",
+    "    correct = [label for label in pred_class if label in true_class]\n",
+    "    num_correct = len(correct)\n",
+    "    correct_perc = num_correct/len(true_class)\n",
+    "    num_pred = len(pred_class)\n",
+    "    wrong_perc = (num_pred - num_correct)/num_pred\n",
+    "    df_perf = pd.DataFrame({\n",
+    "    'accuracy': [accuracy],\n",
+    "    'true_ident': [correct_perc],\n",
+    "    'false_pred': [wrong_perc]\n",
+    "    })\n",
+    "    return(df_perf)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "62c5c18c-58f4-465c-a188-c57cfa7ffa90",
+   "metadata": {},
+   "source": [
+    "**Now do the same for all trips**"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
-   "id": "b3b51280-76a1-4229-a9de-070b925d3463",
+   "execution_count": null,
+   "id": "4dd01755-be8d-4904-8494-ac28aba2fee7",
    "metadata": {
     "scrolled": true
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "           Superclass                              pred_class                                        true_class\n",
-      "0       activity_type                          beach vacation                                    beach vacation\n",
-      "1          activities  [going to the beach, relaxing, hiking]  [swimming, going to the beach, relaxing, hiking]\n",
-      "2   climate_or_season               warm destination / summer                         warm destination / summer\n",
-      "3    style_or_comfort                              minimalist                     lightweight (but comfortable)\n",
-      "4          dress_code                                  casual                                            casual\n",
-      "5       accommodation                    huts with half board                                            indoor\n",
-      "6      transportation                                 vehicle                                        no vehicle\n",
-      "7  special_conditions               off-grid / no electricity                             no special conditions\n",
-      "8    trip_length_days                                 7+ days                                            7 days\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "pd.set_option('display.width', 1000) \n",
-    "pd.set_option('display.max_columns', None)\n",
-    "print(df)"
+    "result_list = []\n",
+    "performance = pd.DataFrame(columns=['accuracy', 'true_ident', 'false_pred'])\n",
+    " \n",
+    "for i in range(len(trip_descriptions)):\n",
+    "    current_trip = trip_descriptions[i]\n",
+    "    current_type = trip_types[i]\n",
+    "    df = pred_trip(current_trip, current_type, cut_off = 0.5)\n",
+    "    print(df)\n",
+    "    \n",
+    "    # accuracy, perc true classes identified and perc wrong pred classes\n",
+    "    performance = pd.concat([performance, perf_measure(df)])\n",
+    "    print(performance)\n",
+    "    \n",
+    "    result_list.append(df)"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 42,
-   "id": "2ec09e8f-75f5-45b1-b4c0-4fafd685d36b",
+   "cell_type": "markdown",
+   "id": "b5c08703-7166-4d03-9d6b-ee2c12608134",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "           Superclass                              pred_class                                        true_class   same\n",
-      "0       activity_type                          beach vacation                                    beach vacation   True\n",
-      "1          activities  [going to the beach, relaxing, hiking]  [swimming, going to the beach, relaxing, hiking]  False\n",
-      "2   climate_or_season               warm destination / summer                         warm destination / summer   True\n",
-      "3    style_or_comfort                              minimalist                     lightweight (but comfortable)  False\n",
-      "4          dress_code                                  casual                                            casual   True\n",
-      "5       accommodation                    huts with half board                                            indoor  False\n",
-      "6      transportation                                 vehicle                                        no vehicle  False\n",
-      "7  special_conditions               off-grid / no electricity                             no special conditions  False\n",
-      "8    trip_length_days                                 7+ days                                            7 days  False\n"
-     ]
-    }
-   ],
    "source": [
-    "df['same'] = df['pred_class'] == df['true_class']\n",
-    "print(df)"
+    "**Compute average performance measures**"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
-   "id": "82ae19c8-8bb7-4f7f-841b-1cb6501a17a7",
+   "execution_count": null,
+   "id": "eb33fd31-94e6-40b5-9c36-a32effe77c01",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Accuracy (excluding activities): 0.3333333333333333\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "# accuracy excluding activities\n",
-    "correct = sum(df.loc[df.index != 1, 'same'])\n",
-    "total = len(df['same'])\n",
-    "accuracy = correct/total\n",
-    "print(\"Accuracy (excluding activities):\", accuracy)"
+    "# Extract \"same_value\" column from each DataFrame\n",
+    "sv_columns = [df['same_value'] for df in result_list]  # 'same' needs to be changed\n",
+    "sv_columns.insert(0, result_list[0]['superclass'])\n",
+    "\n",
+    "# Combine into a new DataFrame (columns side-by-side)\n",
+    "sv_df = pd.concat(sv_columns, axis=1)\n",
+    "\n",
+    "print(sv_df)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
-   "id": "16c0a3ae-34ac-49a4-b59f-411a6f0ce947",
+   "execution_count": null,
+   "id": "bf7546cb-79ce-49ad-8cee-54d02239220c",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Percentage of true classes that were identified: 0.75\n",
-      "Percentage of predicted classes that were wrong: 0.0\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "pred_class = df.loc[df.index == 1, 'pred_class'].iloc[0]\n",
-    "true_class = df.loc[df.index == 1, 'true_class'].iloc[0]\n",
-    "correct = [label for label in pred_class if label in true_class]\n",
+    "# Compute accuracy per superclass (row means of same_value matrix excluding the first column)\n",
+    "row_means = sv_df.iloc[:, 1:].mean(axis=1)\n",
     "\n",
-    "num_correct = len(correct)\n",
-    "correct_perc = num_correct/len(true_class)\n",
+    "df_row_means = pd.DataFrame({\n",
+    "    'superclass': sv_df['superclass'],\n",
+    "    'accuracy': row_means\n",
+    "})\n",
     "\n",
-    "num_pred = len(pred_class)\n",
-    "wrong_perc = (num_pred - num_correct)/num_pred\n",
+    "print(df_row_means)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fd232953-59e8-4f28-9ce8-11515a2c310b",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "# Compute performance measures per trip (mean for each column of performance table)\n",
+    "column_means = performance.mean()\n",
+    "print(column_means)\n",
     "\n",
-    "print(\"Percentage of true classes that were identified:\", correct_perc)\n",
-    "print(\"Percentage of predicted classes that were wrong:\", wrong_perc)"
+    "# Plot histograms for all numeric columns\n",
+    "performance.hist(bins=10, figsize=(10, 6))\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
    ]
   },
   {
-   "cell_type": "markdown",
-   "id": "62c5c18c-58f4-465c-a188-c57cfa7ffa90",
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bd682c84-3eb1-4a8d-9621-b741e98e4537",
    "metadata": {},
+   "outputs": [],
    "source": [
-    "Now do the same for all trips"
+    "# save results\n",
+    "# Example data for one model\n",
+    "model_name = 'model_b_sileod-deberta-v3-base-tasksource-nli'\n",
+    "# Structure to save\n",
+    "model_result = {\n",
+    "    'model': model_name,\n",
+    "    'predictions': result_list,\n",
+    "    'performance': performance,\n",
+    "    'perf_summary': column_means,\n",
+    "    'perf_superclass': df_row_means\n",
+    "}\n",
+    "\n",
+    "# File path with folder\n",
+    "filename = os.path.join('results', f'{model_name}_results.pkl')\n",
+    "\n",
+    "# Save the object\n",
+    "with open(filename, 'wb') as f:\n",
+    "    pickle.dump(model_result, f)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e4192b42-f1bc-4fcb-a238-dbdb3df7d699",
+   "id": "905eab28-1735-4c0e-abf8-0ffc5e799eb0",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "# load all model results later for comparison\n",
+    "with open(f'{model_name}_results.pkl', 'rb') as f:\n",
+    "    model_result = pickle.load(f)\n"
+   ]
   },
   {
    "cell_type": "markdown",

space/space/space/space/gradio_tryout.ipynb

@@ -8,59 +8,359 @@
     "# Try out gradio"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "afd23321-1870-44af-82ed-bb241d055dfa",
+   "metadata": {},
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "id": "3bbee2e4-55c8-4b06-9929-72026edf7932",
    "metadata": {},
    "source": [
-    "Try model"
+    "**Load and try the model**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "f8c28d2d-8458-49fd-8ebf-5e729d6e861f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Hardware accelerator e.g. GPU is available in the environment, but no `device` argument is passed to the `Pipeline` object. Model will be on CPU.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "First trip: I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands. \n",
+      "\n",
+      "Trip type: ['beach vacation', ['swimming', 'going to the beach', 'relaxing', 'hiking'], 'warm destination / summer', 'lightweight (but comfortable)', 'casual', 'indoor', 'no vehicle', 'no special conditions', '7 days']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Prerequisites\n",
+    "from tabulate import tabulate\n",
+    "from transformers import pipeline\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "\n",
+    "# Load the model and create a pipeline for zero-shot classification (1min loading + classifying with 89 labels)\n",
+    "classifier = pipeline(\"zero-shot-classification\", model=\"facebook/bart-large-mnli\")\n",
+    "\n",
+    "# get candidate labels\n",
+    "with open(\"packing_label_structure.json\", \"r\") as file:\n",
+    "    candidate_labels = json.load(file)\n",
+    "keys_list = list(candidate_labels.keys())\n",
+    "\n",
+    "# Load test data (in list of dictionaries)\n",
+    "with open(\"test_data.json\", \"r\") as file:\n",
+    "    packing_data = json.load(file)\n",
+    "# Extract all trip descriptions and trip_types\n",
+    "trip_descriptions = [trip['description'] for trip in packing_data]\n",
+    "trip_types = [trip['trip_types'] for trip in packing_data]\n",
+    "\n",
+    "# Access the first trip description\n",
+    "first_trip = trip_descriptions[0]\n",
+    "# Get the packing list for the secondfirst trip\n",
+    "first_trip_type = trip_types[0]\n",
+    "\n",
+    "print(f\"First trip: {first_trip} \\n\")\n",
+    "print(f\"Trip type: {first_trip_type}\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "id": "fa0d8126-e346-4412-9197-7d51baf868da",
+   "execution_count": 37,
+   "id": "fed1f8bc-5baf-46e7-8763-9d56fb9c536b",
    "metadata": {
     "scrolled": true
    },
    "outputs": [
     {
-     "name": "stderr",
+     "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Some weights of BartForSequenceClassification were not initialized from the model checkpoint at facebook/bart-base and are newly initialized: ['classification_head.dense.bias', 'classification_head.dense.weight', 'classification_head.out_proj.bias', 'classification_head.out_proj.weight']\n",
-      "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n",
-      "Hardware accelerator e.g. GPU is available in the environment, but no `device` argument is passed to the `Pipeline` object. Model will be on CPU.\n",
-      "Failed to determine 'entailment' label id from the label2id mapping in the model config. Setting to -1. Define a descriptive label2id mapping in the model config to ensure correct outputs.\n",
-      "Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation.\n"
+      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['beach vacation', 'micro-adventure / weekend trip', 'nature escape', 'digital nomad trip', 'cultural exploration', 'yoga / wellness retreat', 'festival trip', 'long-distance hike / thru-hike', 'hut trek (summer)', 'city trip', 'road trip (car/camper)', 'ski tour / skitour', 'camping trip (campground)', 'snowboard / splitboard trip', 'camping trip (wild camping)', 'hut trek (winter)'], 'scores': [0.37631064653396606, 0.35016775131225586, 0.13397355377674103, 0.031636204570531845, 0.031270742416381836, 0.012846449390053749, 0.012699575163424015, 0.009526746347546577, 0.008148356340825558, 0.007793044205754995, 0.006512156222015619, 0.005669699050486088, 0.0044484627433121204, 0.004113250877708197, 0.002713854657486081, 0.002169555053114891]}\n",
+      "beach vacation\n",
+      "0\n",
+      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['going to the beach', 'relaxing', 'hiking', 'swimming', 'sightseeing', 'running', 'hut-to-hut hiking', 'biking', 'photography', 'surfing', 'stand-up paddleboarding (SUP)', 'snorkeling', 'yoga', 'kayaking / canoeing', 'rock climbing', 'fishing', 'paragliding', 'rafting', 'horseback riding', 'snowshoe hiking', 'cross-country skiing', 'ice climbing', 'skiing', 'scuba diving', 'ski touring'], 'scores': [0.9914858341217041, 0.9771362543106079, 0.9426282048225403, 0.21901991963386536, 0.17586199939250946, 0.09854521602392197, 0.08370419591665268, 0.03679152950644493, 0.03668990358710289, 0.03099300153553486, 0.025300050154328346, 0.021451234817504883, 0.011070131324231625, 0.0075112744234502316, 0.006306737195700407, 0.0034973458386957645, 0.002655829070135951, 0.00197031581774354, 0.0015599008183926344, 0.001527810120023787, 0.0015017405385151505, 0.0014336870517581701, 0.0011686616344377398, 0.000789369223639369, 0.0004912536824122071]}\n",
+      "['going to the beach', 'relaxing', 'hiking']\n",
+      "1\n",
+      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['warm destination / summer', 'tropical / humid', 'variable weather / spring / autumn', 'dry / desert-like', 'cold destination / winter'], 'scores': [0.6468702554702759, 0.19999535381793976, 0.09394325315952301, 0.05279730260372162, 0.0063938056118786335]}\n",
+      "warm destination / summer\n",
+      "2\n",
+      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['minimalist', 'ultralight', 'lightweight (but comfortable)', 'luxury (including evening wear)'], 'scores': [0.4286234974861145, 0.2564568817615509, 0.2147122174501419, 0.10020739585161209]}\n",
+      "minimalist\n",
+      "3\n",
+      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['casual', 'conservative', 'formal (business trip)'], 'scores': [0.6567223072052002, 0.3034382164478302, 0.039839524775743484]}\n",
+      "casual\n",
+      "4\n",
+      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['huts with half board', 'indoor', 'sleeping in a car', 'sleeping in a tent'], 'scores': [0.5007699728012085, 0.34074831008911133, 0.10416240990161896, 0.05431929975748062]}\n",
+      "huts with half board\n",
+      "5\n",
+      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['vehicle', 'no vehicle'], 'scores': [0.7521055936813354, 0.24789436161518097]}\n",
+      "vehicle\n",
+      "6\n",
+      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['off-grid / no electricity', 'self-supported (bring your own food/cooking)', 'no special conditions', 'pet-friendly', 'rainy climate', 'child-friendly', 'snow and ice', 'high alpine terrain', 'avalanche-prone terrain'], 'scores': [0.46220096945762634, 0.12957870960235596, 0.10651793330907822, 0.09777138382196426, 0.06722460687160492, 0.0632496327161789, 0.04952802509069443, 0.015049820765852928, 0.008878983557224274]}\n",
+      "off-grid / no electricity\n",
+      "7\n",
+      "{'sequence': 'I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.', 'labels': ['7+ days', '2 days', '1 day', '6 days', '3 days', '4 days', '7 days', '5 days'], 'scores': [0.21139054000377655, 0.18512114882469177, 0.14520084857940674, 0.0976138487458229, 0.094282366335392, 0.09376301616430283, 0.09161651134490967, 0.08101171255111694]}\n",
+      "7+ days\n",
+      "8\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Create an empty DataFrame with specified columns\n",
+    "df = pd.DataFrame(columns=['superclass', 'pred_class'])\n",
+    "cutoff = 0.5  # used to choose which activities are relevant\n",
+    "\n",
+    "# fill DataFrame\n",
+    "for i, key in enumerate(keys_list):\n",
+    "    # Run the classification (ca 30 seconds classifying)\n",
+    "    if key == 'activities':\n",
+    "        result = classifier(first_trip, candidate_labels[key], multi_label=True)\n",
+    "        indices = [i for i, score in enumerate(result['scores']) if score > cutoff]\n",
+    "        classes = [result['labels'][i] for i in indices]\n",
+    "    else:\n",
+    "        result = classifier(first_trip, candidate_labels[key])\n",
+    "        classes = result[\"labels\"][0]\n",
+    "    print(result)\n",
+    "    print(classes)\n",
+    "    print(i)\n",
+    "    df.loc[i] = [key, classes]\n",
+    "\n",
+    "df['true_class'] = first_trip_type"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "b3b51280-76a1-4229-a9de-070b925d3463",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "           Superclass                              pred_class                                        true_class\n",
+      "0       activity_type                          beach vacation                                    beach vacation\n",
+      "1          activities  [going to the beach, relaxing, hiking]  [swimming, going to the beach, relaxing, hiking]\n",
+      "2   climate_or_season               warm destination / summer                         warm destination / summer\n",
+      "3    style_or_comfort                              minimalist                     lightweight (but comfortable)\n",
+      "4          dress_code                                  casual                                            casual\n",
+      "5       accommodation                    huts with half board                                            indoor\n",
+      "6      transportation                                 vehicle                                        no vehicle\n",
+      "7  special_conditions               off-grid / no electricity                             no special conditions\n",
+      "8    trip_length_days                                 7+ days                                            7 days\n"
+     ]
+    }
+   ],
+   "source": [
+    "pd.set_option('display.width', 1000) \n",
+    "pd.set_option('display.max_columns', None)\n",
+    "print(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "2ec09e8f-75f5-45b1-b4c0-4fafd685d36b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "           Superclass                              pred_class                                        true_class   same\n",
+      "0       activity_type                          beach vacation                                    beach vacation   True\n",
+      "1          activities  [going to the beach, relaxing, hiking]  [swimming, going to the beach, relaxing, hiking]  False\n",
+      "2   climate_or_season               warm destination / summer                         warm destination / summer   True\n",
+      "3    style_or_comfort                              minimalist                     lightweight (but comfortable)  False\n",
+      "4          dress_code                                  casual                                            casual   True\n",
+      "5       accommodation                    huts with half board                                            indoor  False\n",
+      "6      transportation                                 vehicle                                        no vehicle  False\n",
+      "7  special_conditions               off-grid / no electricity                             no special conditions  False\n",
+      "8    trip_length_days                                 7+ days                                            7 days  False\n"
+     ]
+    }
+   ],
+   "source": [
+    "df['same'] = df['pred_class'] == df['true_class']\n",
+    "print(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "82ae19c8-8bb7-4f7f-841b-1cb6501a17a7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy (excluding activities): 0.3333333333333333\n"
+     ]
+    }
+   ],
+   "source": [
+    "# accuracy excluding activities\n",
+    "correct = sum(df.loc[df.index != 1, 'same'])\n",
+    "total = len(df['same'])\n",
+    "accuracy = correct/total\n",
+    "print(\"Accuracy (excluding activities):\", accuracy)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "id": "16c0a3ae-34ac-49a4-b59f-411a6f0ce947",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Percentage of true classes that were identified: 0.75\n",
+      "Percentage of predicted classes that were wrong: 0.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "pred_class = df.loc[df.index == 1, 'pred_class'].iloc[0]\n",
+    "true_class = df.loc[df.index == 1, 'true_class'].iloc[0]\n",
+    "correct = [label for label in pred_class if label in true_class]\n",
+    "\n",
+    "num_correct = len(correct)\n",
+    "correct_perc = num_correct/len(true_class)\n",
+    "\n",
+    "num_pred = len(pred_class)\n",
+    "wrong_perc = (num_pred - num_correct)/num_pred\n",
+    "\n",
+    "print(\"Percentage of true classes that were identified:\", correct_perc)\n",
+    "print(\"Percentage of predicted classes that were wrong:\", wrong_perc)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "62c5c18c-58f4-465c-a188-c57cfa7ffa90",
+   "metadata": {},
+   "source": [
+    "Now do the same for all trips"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e4192b42-f1bc-4fcb-a238-dbdb3df7d699",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "17483df4-55c4-41cd-b8a9-61f7a5c7e8a3",
+   "metadata": {},
+   "source": [
+    "**Use gradio for user input**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "id": "cb7fd425-d0d6-458d-97ca-2150dc55f206",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7861\n",
+      "Running on public URL: https://aa06d5d85ffadaa92b.gradio.live\n",
+      "\n",
+      "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
      ]
     },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"https://aa06d5d85ffadaa92b.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'sequence': 'I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.', 'labels': ['Map', 'Compass', 'Laptop', 'Car charger', 'Toys', 'Travel crib', 'Hat', 'Playlist', 'Stroller', 'Currency', 'Travel adapter', 'Hostel lock', 'Pen', 'Charging cables', 'Flip-flops', 'Pacifier', 'Camping stove', 'Multi-tool', 'Passport', 'Poncho', 'Hiking boots', 'Portable charger', 'Power bank', 'Trekking poles', 'Snowboard', 'Base layers', 'Bandana', 'Aloe vera gel', 'Gloves', 'Baby blanket', 'Tent', 'Tent', 'Snorkel gear', 'Water filter', 'Diapers', 'Presentation materials', 'Nursing cover', 'Headphones', 'Sunscreen', 'Beach towel', 'Snacks', 'Ski jacket', 'Earplugs', 'Ski goggles', 'Flashlight', 'Neck wallet', 'Swimsuit', 'Notebook', 'Thermal clothing', 'Blanket', 'Snow boots', 'Sleeping bag', 'Lightweight backpack', 'Refillable water bottle', 'Quick-dry towel', 'Comfortable shoes', 'Reusable shopping bags', 'Travel journal', 'Travel pillow', 'Beach bag', 'Reusable coffee mug', 'Reusable water bottle', 'Festival tickets', 'Waterproof phone case', 'Business attire', 'Sunglasses', 'Sunglasses', 'Cooler', 'Baby clothes', 'Fanny pack', 'Beanie', 'First aid kit', 'Emergency roadside kit', 'Dry bag', 'SIM card', 'Energy bars', 'Baby food', 'Work ID badge', 'Packable rain jacket', 'Hand warmers', 'Visa documents', 'Glow sticks', 'Bug spray', 'Travel-sized toiletries', 'Dress shoes', 'Language phrasebook', 'Baby wipes', 'Lip balm', 'Travel insurance documents'], 'scores': [0.013028442859649658, 0.012909057550132275, 0.0124660674482584, 0.012431488372385502, 0.012379261665046215, 0.012377972714602947, 0.012329353019595146, 0.012096051126718521, 0.012086767703294754, 0.011947661638259888, 0.011939236894249916, 0.011935302056372166, 0.011887168511748314, 0.011814153753221035, 0.011788924224674702, 0.011783207766711712, 0.01177265401929617, 0.011771135963499546, 0.011747810058295727, 0.011738969013094902, 0.01169698778539896, 0.01166312862187624, 0.011658026836812496, 0.011596457101404667, 0.01158847101032734, 0.011561167426407337, 0.011526867747306824, 0.01149983424693346, 0.011472185142338276, 0.011455104686319828, 0.011445573531091213, 0.011445573531091213, 0.011444379575550556, 0.011416648514568806, 0.01136692427098751, 0.011363024823367596, 0.011361461132764816, 0.011328471824526787, 0.011299548670649529, 0.011291779577732086, 0.011282541789114475, 0.01127372495830059, 0.011270811781287193, 0.011263585649430752, 0.011179029010236263, 0.011149592697620392, 0.01113132108002901, 0.011122703552246094, 0.011105425655841827, 0.011101326905190945, 0.011090466752648354, 0.011066330596804619, 0.011058374308049679, 0.011055233888328075, 0.01103114802390337, 0.011022195219993591, 0.011012199334800243, 0.01100123766809702, 0.010985593311488628, 0.010961917228996754, 0.010958753526210785, 0.010938071645796299, 0.010903625749051571, 0.010879918932914734, 0.010863620787858963, 0.010824359022080898, 0.010824359022080898, 0.010805793106555939, 0.010763236321508884, 0.010710005648434162, 0.010690474882721901, 0.010647830553352833, 0.010583569295704365, 0.010571518912911415, 0.010570857673883438, 0.010552200488746166, 0.0105352271348238, 0.010523369535803795, 0.010514546185731888, 0.010479346849024296, 0.010450395755469799, 0.010436479933559895, 0.01043587177991867, 0.010400519706308842, 0.010214710608124733, 0.010052643716335297, 0.010041419416666031, 0.010003888048231602, 0.009946384467184544]}\n"
+      "0\n",
+      "1\n",
+      "2\n",
+      "3\n",
+      "4\n",
+      "5\n",
+      "6\n",
+      "7\n",
+      "8\n",
+      "0\n",
+      "1\n",
+      "2\n",
+      "3\n",
+      "4\n",
+      "5\n",
+      "6\n",
+      "7\n",
+      "8\n"
      ]
     }
    ],
    "source": [
+    "# use model with gradio\n",
     "from transformers import pipeline\n",
     "import gradio as gr\n",
     "\n",
-    "# Load the model and create a pipeline for zero-shot classification\n",
-    "classifier = pipeline(\"zero-shot-classification\", model=\"facebook/bart-base\")\n",
-    "\n",
-    "# Load labels from a txt file\n",
-    "with open(\"labels.txt\", \"r\", encoding=\"utf-8\") as f:\n",
-    "    class_labels = [line.strip() for line in f if line.strip()]\n",
+    "# make a function for what I am doing\n",
+    "def classify(text):\n",
+    "    df = pd.DataFrame(columns=['Superclass', 'class'])\n",
+    "    for i, key in enumerate(keys_list):\n",
+    "        # Run the classification (ca 30 seconds classifying)\n",
+    "        if key == 'activities':\n",
+    "            result = classifier(text, candidate_labels[key], multi_label=True)\n",
+    "            classes = [result['labels'][i] for i in indices]\n",
+    "        else:\n",
+    "            result = classifier(text, candidate_labels[key])\n",
+    "            classes = result[\"labels\"][0]\n",
+    "        print(i)\n",
+    "        df.loc[i] = [key, classes]\n",
     "\n",
-    "# Example text to classify\n",
-    "input_text = \"I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.\"\n",
+    "    return df\n",
     "\n",
-    "# Perform classification\n",
-    "result = classifier(input_text, class_labels)\n",
+    "demo = gr.Interface(\n",
+    "    fn=classify,\n",
+    "    inputs=\"text\",\n",
+    "    outputs=\"dataframe\",\n",
+    "    title=\"Zero-Shot Classification\",\n",
+    "    description=\"Enter a text describing your trip\",\n",
+    ")\n",
     "\n",
-    "print(result)"
+    "# Launch the Gradio app\n",
+    "if __name__ == \"__main__\":\n",
+    "    demo.launch(share=True)"
    ]
   },
   {
@@ -73,7 +373,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
    "id": "521d9118-b59d-4cc6-b637-20202eaf8f33",
    "metadata": {
     "scrolled": true
@@ -83,15 +383,16 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running on local URL:  http://127.0.0.1:7860\n",
+      "Running on local URL:  http://127.0.0.1:7861\n",
+      "Running on public URL: https://0f70ba5369d721cf8f.gradio.live\n",
       "\n",
-      "To create a public link, set `share=True` in `launch()`.\n"
+      "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
      ]
     },
     {
      "data": {
       "text/html": [
-       "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+       "<div><iframe src=\"https://0f70ba5369d721cf8f.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -116,50 +417,16 @@
     "\n",
     "# Launch the Gradio app\n",
     "if __name__ == \"__main__\":\n",
-    "    demo.launch()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "d6526d18-6ba6-4a66-8310-21337b832d84",
-   "metadata": {},
-   "source": [
-    "Simple app"
+    "    demo.launch(share=True)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5496ded9-7294-4da4-af05-00e5846cdd04",
+   "id": "c8da1c90-d3a3-4b08-801c-b3afa17b2633",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "import gradio as gr\n",
-    "from transformers import pipeline\n",
-    "\n",
-    "# Initialize the zero-shot classification pipeline\n",
-    "classifier = pipeline(\"zero-shot-classification\", model=\"facebook/bart-base\")\n",
-    "\n",
-    "# Define the classification function\n",
-    "def classify_text(text, labels):\n",
-    "    labels = labels.split(\",\")  # Convert the comma-separated string into a list\n",
-    "    result = classifier(text, candidate_labels=labels)\n",
-    "    return result\n",
-    "\n",
-    "# Set up the Gradio interface\n",
-    "with gr.Blocks() as demo:\n",
-    "    gr.Markdown(\"# Zero-Shot Classification\")\n",
-    "    text_input = gr.Textbox(label=\"Input Text\")\n",
-    "    label_input = gr.Textbox(label=\"Comma-separated Labels\")\n",
-    "    output = gr.JSON(label=\"Result\")\n",
-    "    classify_button = gr.Button(\"Classify\")\n",
-    "\n",
-    "    # Link the button to the classification function\n",
-    "    classify_button.click(classify_text, inputs=[text_input, label_input], outputs=output)\n",
-    "\n",
-    "# Launch the Gradio interface\n",
-    "demo.launch()"
-   ]
+   "source": []
   }
  ],
  "metadata": {

space/space/space/space/packing_label_hierarchical_mapping.json

@@ -0,0 +1,290 @@
+{
+  "ski touring": {
+    "category": "activities",
+    "superclass": "winter sport"
+  },
+  "cross-country skiing": {
+    "category": "activities",
+    "superclass": "winter sport"
+  },
+  "skiing": {
+    "category": "activities",
+    "superclass": "winter sport"
+  },
+  "snowboard / splitboard trip": {
+    "category": "activity_type",
+    "superclass": "winter sport"
+  },
+  "snowshoe hiking": {
+    "category": "activities",
+    "superclass": "winter sport"
+  },
+  "ice climbing": {
+    "category": "activities",
+    "superclass": "winter sport"
+  },
+  "hiking": {
+    "category": "activities",
+    "superclass": "outdoor land"
+  },
+  "hut-to-hut hiking": {
+    "category": "activities",
+    "superclass": "outdoor land"
+  },
+  "huttentocht (zomer)": {
+    "category": "activity_type",
+    "superclass": "outdoor land"
+  },
+  "huttentocht (winter)": {
+    "category": "activity_type",
+    "superclass": "winter sport"
+  },
+  "rock climbing": {
+    "category": "activities",
+    "superclass": "outdoor land"
+  },
+  "biking": {
+    "category": "activities",
+    "superclass": "outdoor land"
+  },
+  "running": {
+    "category": "activities",
+    "superclass": "fitness"
+  },
+  "swimming": {
+    "category": "activities",
+    "superclass": "water sport"
+  },
+  "kayaking / canoeing": {
+    "category": "activities",
+    "superclass": "water sport"
+  },
+  "stand-up paddleboarding (SUP)": {
+    "category": "activities",
+    "superclass": "water sport"
+  },
+  "snorkeling": {
+    "category": "activities",
+    "superclass": "water sport"
+  },
+  "scuba diving": {
+    "category": "activities",
+    "superclass": "water sport"
+  },
+  "surfing": {
+    "category": "activities",
+    "superclass": "water sport"
+  },
+  "fishing": {
+    "category": "activities",
+    "superclass": "water sport"
+  },
+  "rafting": {
+    "category": "activities",
+    "superclass": "water sport"
+  },
+  "paragliding": {
+    "category": "activities",
+    "superclass": "adventure sport"
+  },
+  "horseback riding": {
+    "category": "activities",
+    "superclass": "outdoor land"
+  },
+  "photography": {
+    "category": "activities",
+    "superclass": "leisure"
+  },
+  "relaxing": {
+    "category": "activities",
+    "superclass": "leisure"
+  },
+  "sightseeing": {
+    "category": "activities",
+    "superclass": "cultural"
+  },
+  "yoga": {
+    "category": "activities",
+    "superclass": "wellness"
+  },
+  "festivaltrip": {
+    "category": "activity_type",
+    "superclass": "urban / event"
+  },
+  "stedentrip": {
+    "category": "activity_type",
+    "superclass": "urban / cultural"
+  },
+  "roadtrip (auto/camper)": {
+    "category": "activity_type",
+    "superclass": "travel mode"
+  },
+  "digitale nomade reis": {
+    "category": "activity_type",
+    "superclass": "remote work"
+  },
+  "kampeerreis (wildkamperen)": {
+    "category": "activity_type",
+    "superclass": "outdoor overnight"
+  },
+  "kampeerreis (camping)": {
+    "category": "activity_type",
+    "superclass": "outdoor overnight"
+  },
+  "langeafstandswandeling / thru-hike": {
+    "category": "activity_type",
+    "superclass": "backpacking"
+  },
+  "microavontuur / weekendtrip": {
+    "category": "activity_type",
+    "superclass": "short trip"
+  },
+  "yoga / wellness retreat": {
+    "category": "activity_type",
+    "superclass": "wellness"
+  },
+  "strandvakantie": {
+    "category": "activity_type",
+    "superclass": "beach / leisure"
+  },
+  "warme bestemming / zomer": {
+    "category": "climate_or_season",
+    "superclass": "warm"
+  },
+  "koude bestemming / winter": {
+    "category": "climate_or_season",
+    "superclass": "cold"
+  },
+  "wisselvallig / lente / herfst": {
+    "category": "climate_or_season",
+    "superclass": "mild"
+  },
+  "tropisch / vochtig": {
+    "category": "climate_or_season",
+    "superclass": "humid"
+  },
+  "droog / woestijnachtig": {
+    "category": "climate_or_season",
+    "superclass": "dry"
+  },
+  "ultralight": {
+    "category": "style_or_comfort",
+    "superclass": "packing style"
+  },
+  "lichtgewicht (maar comfortabel)": {
+    "category": "style_or_comfort",
+    "superclass": "packing style"
+  },
+  "luxe (inclusief avondkleding)": {
+    "category": "style_or_comfort",
+    "superclass": "comfort / luxury"
+  },
+  "casual": {
+    "category": "dress_code",
+    "superclass": "informal"
+  },
+  "formeel (zakelijke reis)": {
+    "category": "dress_code",
+    "superclass": "formal"
+  },
+  "conservative": {
+    "category": "dress_code",
+    "superclass": "cultural"
+  },
+  "minimalistisch": {
+    "category": "style_or_comfort",
+    "superclass": "packing style"
+  },
+  "off-grid / geen stroom": {
+    "category": "special_conditions",
+    "superclass": "independent"
+  },
+  "self-supported (eten/koken zelf meenemen)": {
+    "category": "special_conditions",
+    "superclass": "independent"
+  },
+  "regenachtig klimaat": {
+    "category": "special_conditions",
+    "superclass": "weather"
+  },
+  "sneeuw en ijs": {
+    "category": "special_conditions",
+    "superclass": "weather"
+  },
+  "hoog alpine terrein": {
+    "category": "special_conditions",
+    "superclass": "terrain"
+  },
+  "lawinegevoelig terrein": {
+    "category": "special_conditions",
+    "superclass": "terrain"
+  },
+  "hutten met halfpension": {
+    "category": "accommodation",
+    "superclass": "type"
+  },
+  "slapen in tent": {
+    "category": "accommodation",
+    "superclass": "type"
+  },
+  "slapen in auto": {
+    "category": "accommodation",
+    "superclass": "type"
+  },
+  "kindvriendelijk": {
+    "category": "special_conditions",
+    "superclass": "target group"
+  },
+  "huisdiervriendelijk": {
+    "category": "special_conditions",
+    "superclass": "target group"
+  },
+  "accommodation: outdoor": {
+    "category": "accommodation",
+    "superclass": "type"
+  },
+  "accommodation: indoor": {
+    "category": "accommodation",
+    "superclass": "type"
+  },
+  "transportation: vehicle": {
+    "category": "transportation",
+    "superclass": "mode"
+  },
+  "transportation: no vehicle": {
+    "category": "transportation",
+    "superclass": "mode"
+  },
+  "1 day": {
+    "category": "trip_length_days",
+    "superclass": "duration"
+  },
+  "2 days": {
+    "category": "trip_length_days",
+    "superclass": "duration"
+  },
+  "3 days": {
+    "category": "trip_length_days",
+    "superclass": "duration"
+  },
+  "4 days": {
+    "category": "trip_length_days",
+    "superclass": "duration"
+  },
+  "5 days": {
+    "category": "trip_length_days",
+    "superclass": "duration"
+  },
+  "6 days": {
+    "category": "trip_length_days",
+    "superclass": "duration"
+  },
+  "7 days": {
+    "category": "trip_length_days",
+    "superclass": "duration"
+  },
+  "7+ days": {
+    "category": "trip_length_days",
+    "superclass": "duration"
+  }
+}

space/space/space/space/packing_label_structure.json

@@ -0,0 +1,96 @@
+{
+  "activity_type": [
+    "hut trek (summer)",
+    "hut trek (winter)",
+    "camping trip (wild camping)",
+    "camping trip (campground)",
+    "ski tour / skitour",
+    "snowboard / splitboard trip",
+    "long-distance hike / thru-hike",
+    "digital nomad trip",
+    "city trip",
+    "road trip (car/camper)",
+    "festival trip",
+    "yoga / wellness retreat",
+    "micro-adventure / weekend trip",
+    "beach vacation",
+    "cultural exploration",
+    "nature escape"
+  ],
+  "activities": [
+    "swimming",
+    "going to the beach",
+    "relaxing",
+    "sightseeing",
+    "biking",
+    "running",
+    "skiing",
+    "cross-country skiing",
+    "ski touring",
+    "hiking",
+    "hut-to-hut hiking",
+    "rock climbing",
+    "ice climbing",
+    "snowshoe hiking",
+    "kayaking / canoeing",
+    "stand-up paddleboarding (SUP)",
+    "snorkeling",
+    "scuba diving",
+    "surfing",
+    "paragliding",
+    "horseback riding",
+    "photography",
+    "fishing",
+    "rafting",
+    "yoga"
+  ],
+  "climate_or_season": [
+    "cold destination / winter",
+    "warm destination / summer",
+    "variable weather / spring / autumn",
+    "tropical / humid",
+    "dry / desert-like"
+  ],
+  "style_or_comfort": [
+    "ultralight",
+    "lightweight (but comfortable)",
+    "luxury (including evening wear)",
+    "minimalist"
+  ],
+  "dress_code": [
+    "casual",
+    "formal (business trip)",
+    "conservative"
+  ],
+  "accommodation": [
+    "indoor",
+    "huts with half board",
+    "sleeping in a tent",
+    "sleeping in a car"
+  ],
+  "transportation": [
+    "vehicle",
+    "no vehicle"
+  ],
+  "special_conditions": [
+    "off-grid / no electricity",
+    "self-supported (bring your own food/cooking)",
+    "child-friendly",
+    "pet-friendly",
+    "rainy climate",
+    "snow and ice",
+    "high alpine terrain",
+    "avalanche-prone terrain",
+    "no special conditions"  
+  ],
+  "trip_length_days": [
+    "1 day",
+    "2 days",
+    "3 days",
+    "4 days",
+    "5 days",
+    "6 days",
+    "7 days",
+    "7+ days"
+  ]
+}

space/space/space/space/packing_list_api.ipynb

@@ -59,61 +59,6 @@
     "print(output)\n"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "fb7e69c7-b590-4b40-8478-76d055583f2a",
-   "metadata": {},
-   "source": [
-    "**Try packing list labels**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "c5f75916-aaf2-4ca7-8d1a-070579940952",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'error': ['Error in `parameters.candidate_labels`: ensure this value has at most 10 items']}\n"
-     ]
-    }
-   ],
-   "source": [
-    "# Input text to classify\n",
-    "input_text = \"I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.\"\n",
-    "\n",
-    "# Candidate labels\n",
-    "candidate_labels = [\n",
-    "    \"Swimsuit\", \"Sunscreen\", \"Flip-flops\", \"Beach towel\", \"Sunglasses\", \n",
-    "    \"Waterproof phone case\", \"Hat\", \"Beach bag\", \"Snorkel gear\", \"Aloe vera gel\",\n",
-    "    \"Tent\", \"Sleeping bag\", \"Camping stove\", \"Flashlight\", \"Hiking boots\",\n",
-    "    \"Water filter\", \"Compass\", \"First aid kit\", \"Bug spray\", \"Multi-tool\",\n",
-    "    \"Thermal clothing\", \"Ski jacket\", \"Ski goggles\", \"Snow boots\", \"Gloves\",\n",
-    "    \"Hand warmers\", \"Beanie\", \"Lip balm\", \"Snowboard\", \"Base layers\",\n",
-    "    \"Passport\", \"Visa documents\", \"Travel adapter\", \"Currency\", \"Language phrasebook\",\n",
-    "    \"SIM card\", \"Travel pillow\", \"Neck wallet\", \"Travel insurance documents\", \"Power bank\",\n",
-    "    \"Laptop\", \"Notebook\", \"Business attire\", \"Dress shoes\", \"Charging cables\",\n",
-    "    \"Presentation materials\", \"Work ID badge\", \"Pen\", \"Headphones\", \n",
-    "    \"Lightweight backpack\", \"Travel-sized toiletries\", \"Packable rain jacket\",\n",
-    "    \"Reusable water bottle\", \"Dry bag\", \"Trekking poles\", \"Hostel lock\", \"Quick-dry towel\",\n",
-    "    \"Travel journal\", \"Energy bars\", \"Car charger\", \"Snacks\", \"Map\",\n",
-    "    \"Sunglasses\", \"Cooler\", \"Blanket\", \"Emergency roadside kit\", \"Reusable coffee mug\",\n",
-    "    \"Playlist\", \"Reusable shopping bags\", \"Earplugs\", \"Fanny pack\", \"Portable charger\",\n",
-    "    \"Poncho\", \"Bandana\", \"Comfortable shoes\", \"Tent\", \"Refillable water bottle\",\n",
-    "    \"Glow sticks\", \"Festival tickets\", \"Diapers\", \"Baby wipes\", \"Baby food\",\n",
-    "    \"Stroller\", \"Pacifier\", \"Baby clothes\", \"Baby blanket\", \"Travel crib\",\n",
-    "    \"Toys\", \"Nursing cover\"\n",
-    "]\n",
-    "\n",
-    "\n",
-    "# Get the prediction\n",
-    "output = query({\"inputs\": input_text, \"parameters\": {\"candidate_labels\": candidate_labels}})\n",
-    "print(output)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "edf44387-d166-4e0f-a8ad-621230aee115",
@@ -158,7 +103,7 @@
     "trips = list(packing_data.keys())\n",
     "# Access the first trip description\n",
     "first_trip = trips[0]\n",
-    "# Get the packing list for the second trip\n",
+    "# Get the packing list for the secondfirst trip\n",
     "first_trip_items = packing_data[first_trip]\n",
     "\n",
     "print(f\"First trip: {first_trip} \\n\")\n",
@@ -243,7 +188,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 39,
    "id": "116c7ee3-2b59-4623-a416-162c487aab70",
    "metadata": {},
    "outputs": [],
@@ -254,10 +199,204 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 40,
    "id": "8591425b-ce55-4a36-a4b6-70974e8d4e59",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| bart_base                                                            | bart_large_mnli                                                      |\n",
+      "+======================================================================+======================================================================+\n",
+      "| bandana                                                              | travel adapter                                                       |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| lip balm                                                             | travel journal                                                       |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| hand warmers                                                         | light jacket                                                         |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| sim card                                                             | sim card                                                             |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| neck wallet                                                          | bathing suit                                                         |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| tent                                                                 | multi-tool                                                           |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| poncho                                                               | dry bag                                                              |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| gloves                                                               | travel pillow                                                        |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| painkiller                                                           | base layers                                                          |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| pen                                                                  | day pack                                                             |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| thin scarf                                                           | entertainment for downtime (e.g. book/ebook, games, laptop, journal) |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| wallet                                                               | passport                                                             |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| sleeping bag                                                         | thin scarf                                                           |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| dry bag                                                              | comfortable shoes                                                    |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| gifts                                                                | lightweight backpack                                                 |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| fanny pack                                                           | beach bag                                                            |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| beach towel                                                          | swimsuit                                                             |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| underwear                                                            | short pants/skirts                                                   |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| swimsuit                                                             | quick-dry towel                                                      |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| blanket                                                              | sunhat                                                               |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| laptop                                                               | local currency                                                       |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| quick-dry towel                                                      | tickets                                                              |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| ski jacket                                                           | wallet                                                               |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| emergency roadside kit                                               | cardigan/sweater                                                     |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| passport                                                             | refillable water bottle                                              |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| necessary medication                                                 | fanny pack                                                           |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| snacks for the journey                                               | poncho                                                               |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| snow boots                                                           | thermal clothing                                                     |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| sunglasses                                                           | laptop                                                               |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| flip-flops                                                           | pen                                                                  |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| phone and charger                                                    | big backpack/suitcase                                                |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| socks                                                                | beach towel                                                          |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| local currency                                                       | currency                                                             |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| t-shirts/tops                                                        | blanket                                                              |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| bathing suit                                                         | compass                                                              |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| currency                                                             | beanie                                                               |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| cardigan/sweater                                                     | sunscreen                                                            |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| snowboard                                                            | phone and charger                                                    |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| visa documents                                                       | reusable coffee mug                                                  |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| shirts                                                               | power bank                                                           |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| headphones                                                           | personal toiletries (e.g. toothbrush, toothpaste)                    |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| pants                                                                | packable rain jacket                                                 |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| refillable water bottle                                              | bandana                                                              |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| beach bag                                                            | short pants                                                          |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| big backpack/suitcase                                                | business attire                                                      |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| multi-tool                                                           | sleeping bag                                                         |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| sandals                                                              | flashlight                                                           |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| tickets                                                              | t-shirts/tops                                                        |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| thermal clothing                                                     | waterproof phone case                                                |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| short pants/skirts                                                   | long pants                                                           |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| light jacket                                                         | travel-sized toiletries                                              |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| base layers                                                          | visa documents                                                       |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| snacks                                                               | sandals                                                              |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| comfortable shoes                                                    | hand warmers                                                         |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| lightweight backpack                                                 | hostel lock                                                          |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| winter shoes                                                         | headphones                                                           |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| dress shoes                                                          | emergency roadside kit                                               |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| power bank                                                           | ski jacket                                                           |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| packable rain jacket                                                 | shirts                                                               |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| first aid kit                                                        | first aid kit                                                        |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| water filter                                                         | reusable shopping bags                                               |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| short pants                                                          | flip-flops                                                           |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| ski goggles                                                          | camping stove                                                        |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| waterproof phone case                                                | water filter                                                         |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| sunhat                                                               | gloves                                                               |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| flashlight                                                           | dress shoes                                                          |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| earplugs                                                             | tent                                                                 |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| beanie                                                               | sunglasses                                                           |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| hostel lock                                                          | pants                                                                |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| personal toiletries (e.g. toothbrush, toothpaste)                    | charging cables                                                      |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| travel journal                                                       | snacks                                                               |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| reusable coffee mug                                                  | neck wallet                                                          |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| sunscreen                                                            | snacks for the journey                                               |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| travel pillow                                                        | ski goggles                                                          |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| trekking poles                                                       | mosquito repellant                                                   |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| business attire                                                      | snorkel gear                                                         |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| snorkel gear                                                         | bug spray                                                            |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| reusable shopping bags                                               | earplugs                                                             |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| sleep wear                                                           | travel insurance documents                                           |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| camping stove                                                        | painkiller                                                           |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| travel-sized toiletries                                              | hiking boots                                                         |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| hiking boots                                                         | necessary medication                                                 |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| travel insurance documents                                           | socks                                                                |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| long pants                                                           | underwear                                                            |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| charging cables                                                      | trekking poles                                                       |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| entertainment for downtime (e.g. book/ebook, games, laptop, journal) | sleep wear                                                           |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| bug spray                                                            | gifts                                                                |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| day pack                                                             | lip balm                                                             |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| travel adapter                                                       | snowboard                                                            |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| malaria medication                                                   | malaria medication                                                   |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| compass                                                              | snow boots                                                           |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n",
+      "| mosquito repellant                                                   | winter shoes                                                         |\n",
+      "+----------------------------------------------------------------------+----------------------------------------------------------------------+\n"
+     ]
+    }
+   ],
    "source": [
     "# Creating a table\n",
     "table = zip(result_bart_base[\"labels\"], \n",

space/space/space/space/packing_templates_self_supported_offgrid_expanded.json

@@ -0,0 +1,696 @@
+{
+  "hut trek (summer)": [
+    "lichtgewicht trekkingrugzak (30\u201345 liter)",
+    "waterzak of drinkflessen",
+    "sneldrogende kleding",
+    "regenjas",
+    "snacks/energierepen",
+    "wandelschoenen",
+    "hoed of pet",
+    "zonnebrandcr\u00e8me",
+    "lakenzak",
+    "oordoppen"
+  ],
+  "hut trek (winter)": [
+    "slaapzak (lichte, warme variant)",
+    "lakenzak",
+    "binnenkleding voor hut (thermo / fleece)",
+    "hutpantoffels / Crocs",
+    "oordoppen",
+    "snacks voor onderweg",
+    "contant geld voor hutbetalingen"
+  ],
+  "camping trip (wild camping)": [
+    "tent of tarp",
+    "slaapmat",
+    "slaapzak",
+    "hoofdlamp",
+    "mes of multitool",
+    "waterfilter",
+    "kookset + brander",
+    "voedsel en snacks",
+    "aansteker",
+    "toilettas met biologisch afbreekbare zeep"
+  ],
+  "camping trip (campground)": [
+    "tent",
+    "kussen",
+    "stoeltje",
+    "kampeertafel (optioneel)",
+    "lamp of lantaarn",
+    "verlengsnoer (voor stroomcamping)",
+    "koelbox",
+    "servies & bestek",
+    "afwasspullen",
+    "boodschappen"
+  ],
+  "skitocht / skitour": [
+    "touringski's of splitboard",
+    "stijgvellen",
+    "lawinepieper (transceiver)",
+    "schep",
+    "sonde",
+    "gore-tex jas en broek",
+    "donsjas of warme isolatielaag",
+    "helm",
+    "handschoenen (2 paar)",
+    "ski- of zonnebril",
+    "thermosfles",
+    "sneldrogende baselayers",
+    "gamaschen (bij diepe sneeuw)",
+    "tourrugzak met ski-bevestiging",
+    "laagjes voor temperatuurregeling",
+    "energierepen of sportvoeding",
+    "GPS of offline kaarten",
+    "EHBO-set",
+    "lichte handschoenen voor het stijgen"
+  ],
+  "snowboard / splitboard trip": [
+    "splitboard of snowboard",
+    "lawinepieper",
+    "helm",
+    "dikke handschoenen",
+    "skibril",
+    "laagjes kleding",
+    "tourbindingen (voor splitboard)",
+    "stijgvellen",
+    "sonde en schep",
+    "lichte handschoenen voor het stijgen"
+  ],
+  "long-distance hike / thru-hike": [
+    "lichtgewicht rugzak",
+    "waterfilter",
+    "voedselvoorraad",
+    "navigatie (kaart/kompas/GPS)",
+    "first aid kit",
+    "trail runners of lichte wandelschoenen",
+    "zonbescherming",
+    "regenbescherming",
+    "natte doekjes",
+    "sneldrogende handdoek"
+  ],
+  "digital nomad trip": [
+    "laptop en oplader",
+    "wereldstekker",
+    "noise-cancelling koptelefoon",
+    "wifi-hotspot of lokale simkaart",
+    "powerbank",
+    "notitieboekje",
+    "lichte kleding",
+    "comfortabele rugzak of trolley",
+    "mifi-router of portable wifi-hotspot"
+  ],
+  "city trip": [
+    "dagrugzak",
+    "oplader voor telefoon",
+    "stadsplattegrond / offline maps",
+    "betaalkaart / contant geld",
+    "comfortabele schoenen",
+    "waterfles",
+    "reisgids of highlightslijst",
+    "lichte jas of regenjas"
+  ],
+  "road trip (car/camper)": [
+    "autopapieren",
+    "EHBO-kit",
+    "snacks en drinken",
+    "telefoonhouder / navigatie",
+    "kampeeruitrusting (indien overnachten)",
+    "reisgids of kaarten",
+    "zonnebril",
+    "stoel en tafel",
+    "vermaak (boek, muziek, spelletjes)"
+  ],
+  "festivaltrip": [
+    "tent",
+    "matje en slaapzak",
+    "oordoppen",
+    "poncho of regenjas",
+    "glitter / outfit",
+    "herbruikbare beker",
+    "zonnebrand",
+    "cash / pinpas",
+    "vriendenafspraken",
+    "snacks"
+  ],
+  "yoga / wellness retreat": [
+    "yogamat of yogahanddoek",
+    "comfortabele kleding",
+    "waterfles",
+    "dagboek / pen",
+    "warme trui of sjaal",
+    "sandalen",
+    "etherische olie (optioneel)",
+    "boek / meditatiemateriaal"
+  ],
+  "micro-adventure / weekend trip": [
+    "dagrugzak",
+    "snacks en drinken",
+    "regenjas",
+    "warme laag",
+    "kaart of GPS",
+    "toilettasje",
+    "hoofddeksel",
+    "compacte slaapuitrusting (indien overnachting)"
+  ],
+  "beach vacation": [
+    "zwemkleding",
+    "strandlaken",
+    "zonnebrandcr\u00e8me",
+    "zonnebril",
+    "hoed of pet",
+    "slippers",
+    "luchtige kleding",
+    "waterfles",
+    "strandtas",
+    "boek of e-reader"
+  ],
+  "cultural exploration": [
+    "dagrugzak",
+    "oplader voor telefoon",
+    "stadsplattegrond / offline maps",
+    "betaalkaart / contant geld",
+    "comfortabele schoenen",
+    "waterfles",
+    "reisgids of highlightslijst",
+    "lichte jas of regenjas"
+  ],
+  "nature escape": [
+    "dagrugzak",
+    "oplader voor telefoon",
+    "betaalkaart / contant geld",
+    "comfortabele schoenen",
+    "waterfles",
+    "downtime entertainment (e.g. book/ebook, games, laptop, journal)"
+  ],
+  "swimming": [
+    "badkleding",
+    "handdoek",
+    "zonnebrandcr\u00e8me",
+    "slippers",
+    "zwembril",
+    "waterfles"
+  ],
+  "going to the beach": [
+    "strandlaken",
+    "zwemkleding",
+    "zonnebrand",
+    "koeltas",
+    "strandstoel",
+    "zonnehoed"
+  ],
+  "relaxing": [
+    "comfortabele kleding",
+    "boek of e-reader",
+    "zitkussen of strandmat",
+    "muziek / koptelefoon"
+  ],
+  "sightseeing": [
+    "dagrugzak",
+    "waterfles",
+    "camera of smartphone",
+    "kaart of offline maps",
+    "zonnebril"
+  ],
+  "biking": [
+    "fiets of huurfiets",
+    "helm",
+    "sportkleding",
+    "fietslicht en slot",
+    "reparatieset"
+  ],
+  "running": [
+    "hardloopschoenen",
+    "sportkleding",
+    "zweetband of pet",
+    "waterfles of belt",
+    "sporthorloge (optioneel)"
+  ],
+  "skiing": [
+    "ski\u2019s en stokken",
+    "skischoenen",
+    "helm",
+    "skibril",
+    "skipas",
+    "dikke handschoenen",
+    "gore-tex kleding"
+  ],
+  "cross-country skiing": [
+    "langlaufski's en stokken",
+    "langlaufschoenen",
+    "ademende thermokleding",
+    "winddichte en waterafstotende buitenlaag",
+    "dunne handschoenen",
+    "muts of hoofdband",
+    "zonnebril of sportbril",
+    "buff of nekwarmer",
+    "lichte rugzak met water en snacks",
+    "EHBO-set"
+  ],
+  "ski touring": [
+    "algemene items voor deze situatie",
+    "extra kleding of uitrusting indien nodig"
+  ],
+  "hiking": [
+    "wandelschoenen of trailrunners",
+    "hiking sokken (anti-blaren)",
+    "hikingstokken",
+    "dagrugzak",
+    "regenjas of poncho",
+    "waterfles of waterzak",
+    "snacks / energierepen",
+    "zonnebrand en zonnebril",
+    "pet of hoed",
+    "blarenpleisters of tape",
+    "EHBO-set",
+    "navigatie (kaart, kompas of GPS)"
+  ],
+  "hut-to-hut hiking": [
+    "lichtgewicht trekkingrugzak (30\u201345 liter)",
+    "waterflessen of waterzak",
+    "snacks voor onderweg",
+    "regenjas",
+    "licht donsjack of warme laag",
+    "sneldrogende kleding",
+    "wandelschoenen",
+    "lakenzak",
+    "pantoffels of slippers voor hut",
+    "oordoppen",
+    "reserveringsbevestiging / contant geld voor hut"
+  ],
+  "rock climbing": [
+    "klimschoenen",
+    "klimgordel",
+    "zekeringsapparaat",
+    "chalk bag",
+    "helm"
+  ],
+  "ice climbing": [
+    "ijsbijlen",
+    "crampons",
+    "klimtouw",
+    "warme isolatielagen",
+    "klimgordel en helm"
+  ],
+  "snowshoe hiking": [
+    "algemene items voor deze situatie",
+    "extra kleding of uitrusting indien nodig"
+  ],
+  "kayaking / canoeing": [
+    "kayak of kano",
+    "peddel",
+    "reddingsvest",
+    "drybag",
+    "waterschoenen"
+  ],
+  "stand-up paddleboarding (SUP)": [
+    "SUP-board en peddel",
+    "reddingsvest",
+    "drybag",
+    "zonnebril met koord"
+  ],
+  "snorkeling": [
+    "snorkel en duikbril",
+    "zwemvliezen",
+    "badkleding",
+    "waterdichte tas"
+  ],
+  "scuba diving": [
+    "duikbril en snorkel",
+    "wetsuit",
+    "vinnen",
+    "duikcomputer",
+    "ademautomaat (indien eigen)"
+  ],
+  "surfing": [
+    "surfboard",
+    "wetsuit",
+    "wax",
+    "board leash",
+    "poncho of handdoek"
+  ],
+  "paragliding": [
+    "paraglider",
+    "helm",
+    "handschoenen",
+    "wandelschoenen",
+    "windjack"
+  ],
+  "horseback riding": [
+    "rijbroek",
+    "rijlaarzen of schoenen met hak",
+    "handschoenen",
+    "helm",
+    "eventueel eigen zadel of stijgbeugels"
+  ],
+  "photography": [
+    "camera + lenzen",
+    "statief",
+    "geheugenkaart(en)",
+    "extra accu's",
+    "lensdoekje"
+  ],
+  "fishing": [
+    "hengel",
+    "aas / kunstaas",
+    "visvergunning",
+    "laarzen of waadpak",
+    "koelbox (optioneel)"
+  ],
+  "rafting": [
+    "reddingsvest",
+    "waterdichte tas",
+    "waterschoenen",
+    "sneldrogende kleding",
+    "helm"
+  ],
+  "yoga": [
+    "algemene items voor deze situatie",
+    "extra kleding of uitrusting indien nodig"
+  ],
+  "cold destination / winter": [
+    "thermokleding",
+    "muts en handschoenen",
+    "warme jas",
+    "waterdichte schoenen",
+    "lippenbalsem"
+  ],
+  "warm destination / summer": [
+    "luchtige kleding",
+    "zonnebril",
+    "zonnecr\u00e8me",
+    "waterfles",
+    "hoed of pet"
+  ],
+  "variable weather / spring / autumn": [
+    "regenjas",
+    "laagjeskleding",
+    "warme trui",
+    "waterdichte schoenen"
+  ],
+  "tropical / humid": [
+    "lichtgewicht kleding",
+    "insectenspray",
+    "zonnecr\u00e8me",
+    "regenponcho",
+    "sneldrogende handdoek"
+  ],
+  "dry / desert-like": [
+    "zonnebril",
+    "zonnecr\u00e8me",
+    "hoofdbescherming",
+    "lichte lange mouwen",
+    "veel water"
+  ],
+  "ultralight": [
+    "lichtgewicht rugzak (< 1kg)",
+    "minimalistische shelter (tarp of tent)",
+    "lichtgewicht slaapmat",
+    "quilt of donsdeken",
+    "titanium kookset",
+    "beperkte kleding (laagjes!)",
+    "compacte regenjas",
+    "sneldrogende handdoek",
+    "tandenborstel (afgezaagd ;))"
+  ],
+  "lightweight (but comfortable)": [
+    "lichte tent of tarp",
+    "comfortabele slaapmat",
+    "lichtgewicht kookset",
+    "compact kledingpakket",
+    "sneldrogende handdoek"
+  ],
+  "luxury (including evening wear)": [
+    "nette schoenen",
+    "jurk of overhemd",
+    "parfum/deodorant",
+    "accessoires",
+    "reistoilettas met essentials"
+  ],
+  "minimalist": [
+    "1 set kleding voor elke situatie",
+    "compacte tandenborstel",
+    "alles-in-\u00e9\u00e9n zeep",
+    "lichtgewicht handdoek",
+    "kleine rugzak"
+  ],
+  "casual": [
+    "jeans of comfortabele broek",
+    "t-shirts",
+    "trui of hoodie",
+    "sneakers",
+    "zonnebril"
+  ],
+  "formal (business trip)": [
+    "overhemd / blouse",
+    "net jasje",
+    "nette schoenen",
+    "laptop en oplader",
+    "naamkaartjes / documenten"
+  ],
+  "conservative": [
+    "bedekkende kleding",
+    "sjaal of omslagdoek",
+    "lange broek of rok",
+    "gesloten schoenen"
+  ],
+  "outdoor": [
+    "regenjas",
+    "waterdichte schoenen",
+    "bivakzak of tarp",
+    "hoofdlamp",
+    "navigatie"
+  ],
+  "indoor": [
+    "pantoffels",
+    "comfortabele kleding",
+    "pyjama",
+    "oplader",
+    "toilettas"
+  ],
+  "huts with half board": [
+    "reserveringsbevestiging",
+    "lakenzak (vaak verplicht)",
+    "pantoffels of slippers voor binnen",
+    "lichte pyjama of slaapkleding",
+    "oorstopjes",
+    "waterfles",
+    "snacks voor onderweg",
+    "kleine toilettas",
+    "contant geld voor betalingen",
+    "lichte handdoek",
+    "zaklamp of hoofdlamp"
+  ],
+  "sleeping in a tent": [
+    "tent (1- of 2-persoons, afhankelijk van reis)",
+    "grondzeil",
+    "slaapmat",
+    "slaapzak (passend bij temperatuur)",
+    "hoofdlamp of zaklamp",
+    "sneldrogende handdoek",
+    "kussen of opblaasbaar hoofdkussen",
+    "oorstopjes",
+    "toilettas",
+    "powerbank",
+    "waterfles",
+    "boek of e-reader",
+    "EHBO-set"
+  ],
+  "sleeping in a car": [
+    "slaapmat die past in auto",
+    "warme slaapzak",
+    "zonneschermen of verduistering",
+    "kussen",
+    "waterfles binnen handbereik",
+    "powerbank of 12V-lader",
+    "toilettas",
+    "snacks voor de nacht",
+    "thermische deken (voor koude nachten)"
+  ],
+  "vehicle": [
+    "rijbewijs",
+    "autopapieren",
+    "EHBO-set",
+    "navigatie of smartphone",
+    "telefoonhouder"
+  ],
+  "no vehicle": [
+    "rugzak",
+    "waterfles",
+    "lichte schoenen",
+    "openbaar vervoer app of ticket"
+  ],
+  "off-grid / no electricity": [
+    "powerbank (minstens 10.000 mAh)",
+    "zonnepaneel of draagbaar laadsysteem",
+    "hoofdlamp + extra batterijen",
+    "oplaadbare batterijen en oplader",
+    "back-up verlichting (bijv. kleine zaklamp)",
+    "papieren kaart en kompas",
+    "notitieboekje + pen",
+    "noodcommunicatie (bijv. GPS beacon of satellietboodschapper)",
+    "opvouwbaar zonnepaneel (indien langere tochten)",
+    "navigatieapparaat met offline kaarten",
+    "extra opladerkabels",
+    "USB-hub (voor meerdere devices)",
+    "verpakking om elektronica droog te houden"
+  ],
+  "self-supported (bring your own food/cooking)": [
+    "lichtgewicht kooktoestel (gas, benzine of alcohol)",
+    "brandstof (voldoende voor aantal dagen)",
+    "pan of keteltje",
+    "spork of lepel",
+    "opvouwbaar snijplankje (optioneel)",
+    "aandrukbare kom of beker",
+    "aansteker + lucifers (waterdicht verpakt)",
+    "gedroogde of gevriesdroogde maaltijden",
+    "snacks / noodbars",
+    "afwasmiddel (biologisch afbreekbaar) + sponsje",
+    "opslagzakken voor afval",
+    "waterfilter of -pomp",
+    "chloordruppels of zuiveringstabletten",
+    "minstens 2 liter wateropslag per persoon",
+    "food bag of hangzak voor voedsel (wild-safe)"
+  ],
+  "child-friendly": [
+    "snacks en speelgoed",
+    "EHBO-set met pleisters",
+    "extra kleding",
+    "kinderdrager of buggy",
+    "zonbescherming",
+    "extra snacks voor kinderen",
+    "favoriet speelgoed of knuffel",
+    "reisstoel of draagzak",
+    "natte doekjes",
+    "luiers of potje (afhankelijk van leeftijd)",
+    "extra set kleding per dag",
+    "reisapotheek voor kinderen",
+    "kinderzonnebrand",
+    "activiteitenboekje of tablet met filmpjes",
+    "snelle snacks voor onderweg",
+    "kinder slaapzak of slaapmat",
+    "reisbedje of matrasje (voor jonge kinderen)",
+    "luiers of oefenbroekjes",
+    "flesjes en voeding (indien van toepassing)",
+    "babyfoon (voor verblijf op locatie)",
+    "speen of fopspeen",
+    "kinder EHBO-set (inclusief thermometer)",
+    "zonnehoedje of muts",
+    "regenhoes voor kinderwagen of draagzak",
+    "hydraterende cr\u00e8me (voor gevoelige huid)"
+  ],
+  "pet-friendly": [
+    "voer en waterbak",
+    "hondenriem of tuigje",
+    "poepzakjes",
+    "reismatje of deken",
+    "vaccinatieboekje"
+  ],
+  "rainy climate": [
+    "regenjas of poncho",
+    "waterdichte rugzakhoes",
+    "sneldrogende kleding",
+    "rubberen schoenen"
+  ],
+  "snow and ice": [
+    "warme laarzen",
+    "dikke handschoenen",
+    "sneeuwbril",
+    "thermokleding",
+    "gripzolen / spikes"
+  ],
+  "high alpine terrain": [
+    "wandelstokken",
+    "kaart en kompas",
+    "wind- en waterdichte jas",
+    "extra voeding",
+    "EHBO-kit"
+  ],
+  "avalanche-prone terrain": [
+    "lawinepieper",
+    "schep",
+    "sonde",
+    "airbag rugzak (indien beschikbaar)",
+    "kennis van lawineveiligheid / cursus",
+    "kaart en kompas / GPS",
+    "partner check voor vertrek"
+  ],
+  "no special conditions": [
+  ]
+  "1 day": [
+    "ondergoed per dag",
+    "sokken per dag",
+    "toilettas",
+    "extra kledinglaag",
+    "aantal maaltijden/snacks afgestemd op duur"
+  ],
+  "2 days": [
+    "ondergoed per dag",
+    "sokken per dag",
+    "toilettas",
+    "extra kledinglaag",
+    "aantal maaltijden/snacks afgestemd op duur"
+  ],
+  "3 days": [
+    "ondergoed per dag",
+    "sokken per dag",
+    "toilettas",
+    "extra kledinglaag",
+    "aantal maaltijden/snacks afgestemd op duur"
+  ],
+  "4 days": [
+    "ondergoed per dag",
+    "sokken per dag",
+    "toilettas",
+    "extra kledinglaag",
+    "aantal maaltijden/snacks afgestemd op duur"
+  ],
+  "5 days": [
+    "ondergoed per dag",
+    "sokken per dag",
+    "toilettas",
+    "extra kledinglaag",
+    "aantal maaltijden/snacks afgestemd op duur"
+  ],
+  "6 days": [
+    "ondergoed per dag",
+    "sokken per dag",
+    "toilettas",
+    "extra kledinglaag",
+    "aantal maaltijden/snacks afgestemd op duur"
+  ],
+  "7 days": [
+    "ondergoed per dag",
+    "sokken per dag",
+    "toilettas",
+    "extra kledinglaag",
+    "aantal maaltijden/snacks afgestemd op duur"
+  ],
+  "7+ days": [
+    "ondergoed per dag",
+    "sokken per dag",
+    "toilettas",
+    "extra kledinglaag",
+    "aantal maaltijden/snacks afgestemd op duur"
+  ],
+  "default_items": [
+    "telefoon + oplader",
+    "powerbank",
+    "identiteitsbewijs of paspoort",
+    "betaalmiddelen (pinpas / contant geld)",
+    "verzekeringspas / reisverzekering-info",
+    "toilettas (tandpasta, borstel, deodorant, zeep)",
+    "zonnebrandcr\u00e8me",
+    "lippenbalsem",
+    "ondergoed",
+    "sokken",
+    "regenjas of windjack",
+    "waterfles",
+    "snacks",
+    "zonnebril",
+    "oorstopjes",
+    "slaapmasker",
+    "herbruikbare tas",
+    "zakdoekjes of toiletpapier"
+  ]
+}

space/space/space/space/space/labels.txt

@@ -1,89 +1,93 @@
-Swimsuit
-Sunscreen
-Flip-flops
-Beach towel
-Sunglasses
-Waterproof phone case
-Hat
-Beach bag
-Snorkel gear
-Aloe vera gel
-Tent
-Sleeping bag
-Camping stove
-Flashlight
-Hiking boots
-Water filter
-Compass
-First aid kit
-Bug spray
-Multi-tool
-Thermal clothing
-Ski jacket
-Ski goggles
-Snow boots
-Gloves
-Hand warmers
-Beanie
-Lip balm
-Snowboard
-Base layers
-Passport
-Visa documents
-Travel adapter
-Currency
-Language phrasebook
-SIM card
-Travel pillow
-Neck wallet
-Travel insurance documents
-Power bank
-Laptop
-Notebook
-Business attire
-Dress shoes
-Charging cables
-Presentation materials
-Work ID badge
-Pen
-Headphones
-Lightweight backpack
-Travel-sized toiletries
-Packable rain jacket
-Reusable water bottle
-Dry bag
-Trekking poles
-Hostel lock
-Quick-dry towel
-Travel journal
-Energy bars
-Car charger
-Snacks
-Map
-Sunglasses
-Cooler
-Blanket
-Emergency roadside kit
-Reusable coffee mug
-Playlist
-Reusable shopping bags
-Earplugs
-Fanny pack
-Portable charger
-Poncho
-Bandana
-Comfortable shoes
-Tent
-Refillable water bottle
-Glow sticks
-Festival tickets
-Diapers
-Baby wipes
-Baby food
-Stroller
-Pacifier
-Baby clothes
-Baby blanket
-Travel crib
-Toys
-Nursing cover
+sunscreen
+sunglasses
+sunhat
+flip-flops
+swimsuit
+beach towel
+waterproof phone case
+beach bag
+snorkel gear
+tent
+sleeping bag
+camping stove
+flashlight
+hiking boots
+water filter
+compass
+first aid kit
+bug spray
+multi-tool
+thermal clothing
+ski jacket
+ski goggles
+snow boots
+gloves
+hand warmers
+beanie
+lip balm
+snowboard
+base layers
+passport
+visa documents
+travel adapter
+currency
+sim card
+travel pillow
+neck wallet
+travel insurance documents
+power bank
+laptop
+business attire
+dress shoes
+charging cables
+pen
+headphones
+lightweight backpack
+travel-sized toiletries
+packable rain jacket
+dry bag
+trekking poles
+hostel lock
+quick-dry towel
+travel journal
+snacks
+blanket
+emergency roadside kit
+reusable coffee mug
+reusable shopping bags
+earplugs
+fanny pack
+poncho
+bandana
+comfortable shoes
+bathing suit
+sandals
+light jacket
+entertainment for downtime (e.g. book/ebook, games, laptop, journal)
+short pants/skirts
+t-shirts/tops
+thin scarf
+pants
+shirts
+cardigan/sweater
+gifts
+winter shoes
+long pants
+short pants
+malaria medication
+mosquito repellant
+local currency
+wallet
+tickets
+phone and charger
+painkiller
+necessary medication
+personal toiletries (e.g. toothbrush, toothpaste)
+underwear
+socks
+sleep wear
+snacks for the journey
+refillable water bottle
+day pack
+big backpack/suitcase
+

space/space/space/space/space/packing_list_api.ipynb

@@ -124,7 +124,58 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 35,
+   "id": "1d01a363-572b-450c-8fce-0721234f9a1a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "First trip: 7-Day Island Beach Holiday in Greece (Summer). I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands. \n",
+      "\n",
+      "Packing list: ['bathing suit', 'beach towel', 'beach bag', 'sandals', 'comfortable walking shoes', 'light jacket', 'sunscreen', 'sunglasses', 'sunhat', 'entertainment for downtime (e.g. book/ebook, games, laptop, journal)', 'short pants/skirts', 't-shirts/tops']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Prerequisites\n",
+    "from tabulate import tabulate\n",
+    "from transformers import pipeline\n",
+    "import json\n",
+    "\n",
+    "# input text\n",
+    "input_text = \"I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.\"\n",
+    "\n",
+    "# Load labels from a txt file\n",
+    "with open(\"labels.txt\", \"r\", encoding=\"utf-8\") as f:\n",
+    "    class_labels = [line.strip() for line in f if line.strip()]\n",
+    "\n",
+    "# Load test data (in dictionary)\n",
+    "with open(\"test_data.json\", \"r\") as file:\n",
+    "    packing_data = json.load(file)\n",
+    "# Get a list of trip descriptions (keys)\n",
+    "trips = list(packing_data.keys())\n",
+    "# Access the first trip description\n",
+    "first_trip = trips[0]\n",
+    "# Get the packing list for the second trip\n",
+    "first_trip_items = packing_data[first_trip]\n",
+    "\n",
+    "print(f\"First trip: {first_trip} \\n\")\n",
+    "print(f\"Packing list: {first_trip_items}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "88aa1d7e-8a32-4530-9ddd-60fa38e4a342",
+   "metadata": {},
+   "source": [
+    "Load classifiers"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
    "id": "d0d8f7c0-c2d9-4fbe-b1a7-699a5b99466c",
    "metadata": {},
    "outputs": [
@@ -140,82 +191,89 @@
     }
    ],
    "source": [
-    "from transformers import pipeline\n",
-    "\n",
-    "# Load the model and create a pipeline for zero-shot classification\n",
-    "classifier = pipeline(\"zero-shot-classification\", model=\"facebook/bart-base\")"
+    "# Load smaller the model and create a pipeline for zero-shot classification (1min loading + classifying with 89 labels)\n",
+    "classifier_bart_base = pipeline(\"zero-shot-classification\", model=\"facebook/bart-base\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "id": "4682d620-c9a6-40ad-ab4c-268ee0ef7212",
+   "execution_count": 37,
+   "id": "a971ca1c-d478-489f-9592-bc243d587eb4",
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation.\n"
+      "Hardware accelerator e.g. GPU is available in the environment, but no `device` argument is passed to the `Pipeline` object. Model will be on CPU.\n"
      ]
-    },
+    }
+   ],
+   "source": [
+    "# Load larger the model and create a pipeline for zero-shot classification (5min loading model + classifying with 89 labels)\n",
+    "classifier_bart_large_mnli = pipeline(\"zero-shot-classification\", model=\"facebook/bart-large-mnli\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "38805499-9919-40fe-9d42-de6869ba01dc",
+   "metadata": {},
+   "source": [
+    "Try classifiers"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "abb13524-71c6-448d-948d-fb22a0e0ceeb",
+   "metadata": {},
+   "outputs": [
     {
-     "name": "stdout",
+     "name": "stderr",
      "output_type": "stream",
      "text": [
-      "{'sequence': 'I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.', 'labels': ['Swimsuit', 'Travel crib', 'Business attire', 'Toys', 'Notebook', 'Travel adapter', 'Compass', 'Travel pillow', 'Headphones', 'Travel journal', 'Playlist', 'Flip-flops', 'Hiking boots', 'Reusable coffee mug', 'Comfortable shoes', 'Nursing cover', 'Gloves', 'Tent', 'Tent', 'Sunglasses', 'Sunglasses', 'Charging cables', 'Travel-sized toiletries', 'Refillable water bottle', 'Energy bars', 'Dress shoes', 'Festival tickets', 'Lightweight backpack', 'Packable rain jacket', 'Flashlight', 'Hostel lock', 'Presentation materials', 'Thermal clothing', 'Snowboard', 'Camping stove', 'Reusable shopping bags', 'Reusable water bottle', 'Blanket', 'Diapers', 'Snorkel gear', 'Snacks', 'Emergency roadside kit', 'Beach towel', 'Sunscreen', 'Car charger', 'Bug spray', 'Passport', 'Currency', 'Beach bag', 'Ski jacket', 'First aid kit', 'Cooler', 'Quick-dry towel', 'Laptop', 'Aloe vera gel', 'Earplugs', 'Baby wipes', 'Ski goggles', 'Travel insurance documents', 'Portable charger', 'Beanie', 'Bandana', 'Multi-tool', 'Pacifier', 'Stroller', 'Language phrasebook', 'Waterproof phone case', 'Dry bag', 'Map', 'Lip balm', 'Fanny pack', 'Trekking poles', 'Power bank', 'Baby clothes', 'Baby food', 'Poncho', 'Sleeping bag', 'Work ID badge', 'Visa documents', 'SIM card', 'Water filter', 'Snow boots', 'Hand warmers', 'Baby blanket', 'Base layers', 'Pen', 'Hat', 'Neck wallet', 'Glow sticks'], 'scores': [0.012542711570858955, 0.012216676957905293, 0.012068654410541058, 0.011977529153227806, 0.011932261288166046, 0.011920000426471233, 0.011883101426064968, 0.011842883192002773, 0.011819617822766304, 0.011810989119112492, 0.011761271394789219, 0.011756575666368008, 0.011726364493370056, 0.011664840392768383, 0.011632450856268406, 0.01163020171225071, 0.01158054918050766, 0.011572858318686485, 0.011572858318686485, 0.011541635729372501, 0.011541635729372501, 0.011517350561916828, 0.011510960757732391, 0.011489875614643097, 0.011469963937997818, 0.011466587893664837, 0.011442759074270725, 0.011438597925007343, 0.011437375098466873, 0.011433145962655544, 0.011407203041017056, 0.011401104740798473, 0.01135423593223095, 0.011333385482430458, 0.011328010819852352, 0.011325137689709663, 0.01131997536867857, 0.011306566186249256, 0.011299673467874527, 0.011281789280474186, 0.011264320462942123, 0.011257764883339405, 0.011256475001573563, 0.011253912933170795, 0.011252702213823795, 0.011248898692429066, 0.011247594840824604, 0.011239985004067421, 0.01121864840388298, 0.011208567768335342, 0.011174682527780533, 0.011166973039507866, 0.011159253306686878, 0.011151333339512348, 0.011140624061226845, 0.011139076203107834, 0.01113345380872488, 0.011126152239739895, 0.011093570850789547, 0.011078842915594578, 0.011067545972764492, 0.011044573038816452, 0.01101986039429903, 0.011016158387064934, 0.011015082709491253, 0.011007890105247498, 0.010997296310961246, 0.010962157510221004, 0.01095755398273468, 0.010940180160105228, 0.01088095735758543, 0.010869039222598076, 0.010858545079827309, 0.010820968076586723, 0.01080892514437437, 0.010798529721796513, 0.01077410951256752, 0.010764310136437416, 0.010748079977929592, 0.010681436397135258, 0.010675576515495777, 0.010557047091424465, 0.010552684776484966, 0.010509641841053963, 0.010396942496299744, 0.01037551462650299, 0.01033466774970293, 0.010237698443233967, 0.009954877197742462]}\n"
+      "Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation.\n"
      ]
     }
    ],
    "source": [
-    "input_text = \"I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.\"\n",
-    "\n",
-    "# Candidate labels\n",
-    "candidate_labels = [\n",
-    "    \"Swimsuit\", \"Sunscreen\", \"Flip-flops\", \"Beach towel\", \"Sunglasses\", \n",
-    "    \"Waterproof phone case\", \"Hat\", \"Beach bag\", \"Snorkel gear\", \"Aloe vera gel\",\n",
-    "    \"Tent\", \"Sleeping bag\", \"Camping stove\", \"Flashlight\", \"Hiking boots\",\n",
-    "    \"Water filter\", \"Compass\", \"First aid kit\", \"Bug spray\", \"Multi-tool\",\n",
-    "    \"Thermal clothing\", \"Ski jacket\", \"Ski goggles\", \"Snow boots\", \"Gloves\",\n",
-    "    \"Hand warmers\", \"Beanie\", \"Lip balm\", \"Snowboard\", \"Base layers\",\n",
-    "    \"Passport\", \"Visa documents\", \"Travel adapter\", \"Currency\", \"Language phrasebook\",\n",
-    "    \"SIM card\", \"Travel pillow\", \"Neck wallet\", \"Travel insurance documents\", \"Power bank\",\n",
-    "    \"Laptop\", \"Notebook\", \"Business attire\", \"Dress shoes\", \"Charging cables\",\n",
-    "    \"Presentation materials\", \"Work ID badge\", \"Pen\", \"Headphones\", \n",
-    "    \"Lightweight backpack\", \"Travel-sized toiletries\", \"Packable rain jacket\",\n",
-    "    \"Reusable water bottle\", \"Dry bag\", \"Trekking poles\", \"Hostel lock\", \"Quick-dry towel\",\n",
-    "    \"Travel journal\", \"Energy bars\", \"Car charger\", \"Snacks\", \"Map\",\n",
-    "    \"Sunglasses\", \"Cooler\", \"Blanket\", \"Emergency roadside kit\", \"Reusable coffee mug\",\n",
-    "    \"Playlist\", \"Reusable shopping bags\", \"Earplugs\", \"Fanny pack\", \"Portable charger\",\n",
-    "    \"Poncho\", \"Bandana\", \"Comfortable shoes\", \"Tent\", \"Refillable water bottle\",\n",
-    "    \"Glow sticks\", \"Festival tickets\", \"Diapers\", \"Baby wipes\", \"Baby food\",\n",
-    "    \"Stroller\", \"Pacifier\", \"Baby clothes\", \"Baby blanket\", \"Travel crib\",\n",
-    "    \"Toys\", \"Nursing cover\"\n",
-    "]\n",
-    "\n",
-    "\n",
-    "# Run the classification\n",
-    "result = classifier(input_text, candidate_labels)\n",
-    "\n",
-    "# Print the result\n",
-    "print(result)"
+    "# Run the classification (ca 30 seconds classifying)\n",
+    "result_bart_base = classifier_bart_base(first_trip, class_labels)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "a344a80f-7645-4c2c-b960-580aa0b345f6",
+   "id": "116c7ee3-2b59-4623-a416-162c487aab70",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "# Run the classification (ca 1 minute classifying)\n",
+    "result_bart_large_mnli = classifier_bart_large_mnli(first_trip, class_labels)"
+   ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5eb705d6-c31c-406c-9739-ff45b66c7ca4",
+   "id": "8591425b-ce55-4a36-a4b6-70974e8d4e59",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "# Creating a table\n",
+    "table = zip(result_bart_base[\"labels\"], \n",
+    "            result_bart_large_mnli[\"labels\"])\n",
+    "headers = [\"bart_base\", \"bart_large_mnli\"]\n",
+    "\n",
+    "print(tabulate(table, headers=headers, tablefmt=\"grid\"))\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "21a35d0c-9451-433a-b14c-87e8dac21d68",
+   "metadata": {},
+   "source": [
+    "**Try simple prompt engineering**"
+   ]
   },
   {
    "cell_type": "code",
@@ -224,21 +282,17 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Example text to classify\n",
-    "text = \"I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.\"\n",
-    "\n",
     "# No prompt\n",
-    "no_prompt = text\n",
-    "no_result = classifier(no_prompt, candidate_labels)\n",
-    "\n",
+    "no_prompt = input_text\n",
+    "no_result = classifier(no_prompt, class_labels)\n",
     "\n",
     "# Simple prompt\n",
-    "simple_prompt = \"Classify the following text: \" + text\n",
-    "simple_result = classifier(simple_prompt, candidate_labels)\n",
+    "simple_prompt = \"Classify the following text: \" + input_text\n",
+    "simple_result = classifier(simple_prompt, class_labels)\n",
     "\n",
     "# Primed prompt\n",
-    "primed_prompt = \"I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july. What are the most important things to pack for the trip?\"\n",
-    "primed_result = classifier(primed_prompt, candidate_labels)"
+    "primed_prompt = input_text + \"What are the most important things to pack for the trip?\"\n",
+    "primed_result = classifier(primed_prompt, class_labels)"
    ]
   },
   {
@@ -436,9 +490,6 @@
     }
    ],
    "source": [
-    "from tabulate import tabulate\n",
-    "\n",
-    "\n",
     "# Creating a table\n",
     "table = zip(no_result[\"labels\"], no_result[\"scores\"], \n",
     "            simple_result[\"labels\"], simple_result[\"scores\"], \n",
@@ -447,14 +498,6 @@
     "\n",
     "print(tabulate(table, headers=headers, tablefmt=\"grid\"))\n"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "5ed9bda0-41f2-4c7c-b055-27c1998c1d4e",
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {

space/space/space/space/space/space/.ipynb_checkpoints/app-checkpoint.py

@@ -1,25 +1,25 @@
-import gradio as gr
 from transformers import pipeline
+import gradio as gr
 
-# Initialize the zero-shot classification pipeline
+# Load the model and create a pipeline for zero-shot classification
 classifier = pipeline("zero-shot-classification", model="facebook/bart-base")
 
-# Define the classification function
-def classify_text(text, labels):
-    labels = labels.split(",")  # Convert the comma-separated string into a list
-    result = classifier(text, candidate_labels=labels)
-    return result
+# Load labels from a txt file
+with open("labels.txt", "r", encoding="utf-8") as f:
+    class_labels = [line.strip() for line in f if line.strip()]
 
-# Set up the Gradio interface
-with gr.Blocks() as demo:
-    gr.Markdown("# Zero-Shot Classification")
-    text_input = gr.Textbox(label="Input Text")
-    label_input = gr.Textbox(label="Comma-separated Labels")
-    output = gr.JSON(label="Result")
-    classify_button = gr.Button("Classify")
+# Define the Gradio interface
+def classify(text):
+    return classifier(text, class_labels)
 
-    # Link the button to the classification function
-    classify_button.click(classify_text, inputs=[text_input, label_input], outputs=output)
+demo = gr.Interface(
+    fn=classify,
+    inputs="text",
+    outputs="json",
+    title="Zero-Shot Classification",
+    description="Enter a text describing your trip",
+)
 
-# Launch the Gradio interface
-demo.launch()
+# Launch the Gradio app
+if __name__ == "__main__":
+    demo.launch()

space/space/space/space/space/space/.ipynb_checkpoints/gradio_tryout-checkpoint.ipynb

@@ -1,6 +1,186 @@
 {
- "cells": [],
- "metadata": {},
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e25090fa-f990-4f1a-84f3-b12159eedae8",
+   "metadata": {},
+   "source": [
+    "# Try out gradio"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3bbee2e4-55c8-4b06-9929-72026edf7932",
+   "metadata": {},
+   "source": [
+    "Try model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "fa0d8126-e346-4412-9197-7d51baf868da",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Some weights of BartForSequenceClassification were not initialized from the model checkpoint at facebook/bart-base and are newly initialized: ['classification_head.dense.bias', 'classification_head.dense.weight', 'classification_head.out_proj.bias', 'classification_head.out_proj.weight']\n",
+      "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n",
+      "Hardware accelerator e.g. GPU is available in the environment, but no `device` argument is passed to the `Pipeline` object. Model will be on CPU.\n",
+      "Failed to determine 'entailment' label id from the label2id mapping in the model config. Setting to -1. Define a descriptive label2id mapping in the model config to ensure correct outputs.\n",
+      "Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'sequence': 'I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.', 'labels': ['Map', 'Compass', 'Laptop', 'Car charger', 'Toys', 'Travel crib', 'Hat', 'Playlist', 'Stroller', 'Currency', 'Travel adapter', 'Hostel lock', 'Pen', 'Charging cables', 'Flip-flops', 'Pacifier', 'Camping stove', 'Multi-tool', 'Passport', 'Poncho', 'Hiking boots', 'Portable charger', 'Power bank', 'Trekking poles', 'Snowboard', 'Base layers', 'Bandana', 'Aloe vera gel', 'Gloves', 'Baby blanket', 'Tent', 'Tent', 'Snorkel gear', 'Water filter', 'Diapers', 'Presentation materials', 'Nursing cover', 'Headphones', 'Sunscreen', 'Beach towel', 'Snacks', 'Ski jacket', 'Earplugs', 'Ski goggles', 'Flashlight', 'Neck wallet', 'Swimsuit', 'Notebook', 'Thermal clothing', 'Blanket', 'Snow boots', 'Sleeping bag', 'Lightweight backpack', 'Refillable water bottle', 'Quick-dry towel', 'Comfortable shoes', 'Reusable shopping bags', 'Travel journal', 'Travel pillow', 'Beach bag', 'Reusable coffee mug', 'Reusable water bottle', 'Festival tickets', 'Waterproof phone case', 'Business attire', 'Sunglasses', 'Sunglasses', 'Cooler', 'Baby clothes', 'Fanny pack', 'Beanie', 'First aid kit', 'Emergency roadside kit', 'Dry bag', 'SIM card', 'Energy bars', 'Baby food', 'Work ID badge', 'Packable rain jacket', 'Hand warmers', 'Visa documents', 'Glow sticks', 'Bug spray', 'Travel-sized toiletries', 'Dress shoes', 'Language phrasebook', 'Baby wipes', 'Lip balm', 'Travel insurance documents'], 'scores': [0.013028442859649658, 0.012909057550132275, 0.0124660674482584, 0.012431488372385502, 0.012379261665046215, 0.012377972714602947, 0.012329353019595146, 0.012096051126718521, 0.012086767703294754, 0.011947661638259888, 0.011939236894249916, 0.011935302056372166, 0.011887168511748314, 0.011814153753221035, 0.011788924224674702, 0.011783207766711712, 0.01177265401929617, 0.011771135963499546, 0.011747810058295727, 0.011738969013094902, 0.01169698778539896, 0.01166312862187624, 0.011658026836812496, 0.011596457101404667, 0.01158847101032734, 0.011561167426407337, 0.011526867747306824, 0.01149983424693346, 0.011472185142338276, 0.011455104686319828, 0.011445573531091213, 0.011445573531091213, 0.011444379575550556, 0.011416648514568806, 0.01136692427098751, 0.011363024823367596, 0.011361461132764816, 0.011328471824526787, 0.011299548670649529, 0.011291779577732086, 0.011282541789114475, 0.01127372495830059, 0.011270811781287193, 0.011263585649430752, 0.011179029010236263, 0.011149592697620392, 0.01113132108002901, 0.011122703552246094, 0.011105425655841827, 0.011101326905190945, 0.011090466752648354, 0.011066330596804619, 0.011058374308049679, 0.011055233888328075, 0.01103114802390337, 0.011022195219993591, 0.011012199334800243, 0.01100123766809702, 0.010985593311488628, 0.010961917228996754, 0.010958753526210785, 0.010938071645796299, 0.010903625749051571, 0.010879918932914734, 0.010863620787858963, 0.010824359022080898, 0.010824359022080898, 0.010805793106555939, 0.010763236321508884, 0.010710005648434162, 0.010690474882721901, 0.010647830553352833, 0.010583569295704365, 0.010571518912911415, 0.010570857673883438, 0.010552200488746166, 0.0105352271348238, 0.010523369535803795, 0.010514546185731888, 0.010479346849024296, 0.010450395755469799, 0.010436479933559895, 0.01043587177991867, 0.010400519706308842, 0.010214710608124733, 0.010052643716335297, 0.010041419416666031, 0.010003888048231602, 0.009946384467184544]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "from transformers import pipeline\n",
+    "import gradio as gr\n",
+    "\n",
+    "# Load the model and create a pipeline for zero-shot classification\n",
+    "classifier = pipeline(\"zero-shot-classification\", model=\"facebook/bart-base\")\n",
+    "\n",
+    "# Load labels from a txt file\n",
+    "with open(\"labels.txt\", \"r\", encoding=\"utf-8\") as f:\n",
+    "    class_labels = [line.strip() for line in f if line.strip()]\n",
+    "\n",
+    "# Example text to classify\n",
+    "input_text = \"I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.\"\n",
+    "\n",
+    "# Perform classification\n",
+    "result = classifier(input_text, class_labels)\n",
+    "\n",
+    "print(result)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8e856a9c-a66c-4c4b-b7cf-8c52abbbc6fa",
+   "metadata": {},
+   "source": [
+    "Use model with gradio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "521d9118-b59d-4cc6-b637-20202eaf8f33",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7860\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Define the Gradio interface\n",
+    "def classify(text):\n",
+    "    return classifier(text, class_labels)\n",
+    "\n",
+    "demo = gr.Interface(\n",
+    "    fn=classify,\n",
+    "    inputs=\"text\",\n",
+    "    outputs=\"json\",\n",
+    "    title=\"Zero-Shot Classification\",\n",
+    "    description=\"Enter a text describing your trip\",\n",
+    ")\n",
+    "\n",
+    "# Launch the Gradio app\n",
+    "if __name__ == \"__main__\":\n",
+    "    demo.launch()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d6526d18-6ba6-4a66-8310-21337b832d84",
+   "metadata": {},
+   "source": [
+    "Simple app"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5496ded9-7294-4da4-af05-00e5846cdd04",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import gradio as gr\n",
+    "from transformers import pipeline\n",
+    "\n",
+    "# Initialize the zero-shot classification pipeline\n",
+    "classifier = pipeline(\"zero-shot-classification\", model=\"facebook/bart-base\")\n",
+    "\n",
+    "# Define the classification function\n",
+    "def classify_text(text, labels):\n",
+    "    labels = labels.split(\",\")  # Convert the comma-separated string into a list\n",
+    "    result = classifier(text, candidate_labels=labels)\n",
+    "    return result\n",
+    "\n",
+    "# Set up the Gradio interface\n",
+    "with gr.Blocks() as demo:\n",
+    "    gr.Markdown(\"# Zero-Shot Classification\")\n",
+    "    text_input = gr.Textbox(label=\"Input Text\")\n",
+    "    label_input = gr.Textbox(label=\"Comma-separated Labels\")\n",
+    "    output = gr.JSON(label=\"Result\")\n",
+    "    classify_button = gr.Button(\"Classify\")\n",
+    "\n",
+    "    # Link the button to the classification function\n",
+    "    classify_button.click(classify_text, inputs=[text_input, label_input], outputs=output)\n",
+    "\n",
+    "# Launch the Gradio interface\n",
+    "demo.launch()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python (huggingface_env)",
+   "language": "python",
+   "name": "huggingface_env"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.20"
+  }
+ },
  "nbformat": 4,
  "nbformat_minor": 5
 }

space/space/space/space/space/space/app.py

@@ -1,25 +1,25 @@
-import gradio as gr
 from transformers import pipeline
+import gradio as gr
 
-# Initialize the zero-shot classification pipeline
+# Load the model and create a pipeline for zero-shot classification
 classifier = pipeline("zero-shot-classification", model="facebook/bart-base")
 
-# Define the classification function
-def classify_text(text, labels):
-    labels = labels.split(",")  # Convert the comma-separated string into a list
-    result = classifier(text, candidate_labels=labels)
-    return result
+# Load labels from a txt file
+with open("labels.txt", "r", encoding="utf-8") as f:
+    class_labels = [line.strip() for line in f if line.strip()]
 
-# Set up the Gradio interface
-with gr.Blocks() as demo:
-    gr.Markdown("# Zero-Shot Classification")
-    text_input = gr.Textbox(label="Input Text")
-    label_input = gr.Textbox(label="Comma-separated Labels")
-    output = gr.JSON(label="Result")
-    classify_button = gr.Button("Classify")
+# Define the Gradio interface
+def classify(text):
+    return classifier(text, class_labels)
 
-    # Link the button to the classification function
-    classify_button.click(classify_text, inputs=[text_input, label_input], outputs=output)
+demo = gr.Interface(
+    fn=classify,
+    inputs="text",
+    outputs="json",
+    title="Zero-Shot Classification",
+    description="Enter a text describing your trip",
+)
 
-# Launch the Gradio interface
-demo.launch()
+# Launch the Gradio app
+if __name__ == "__main__":
+    demo.launch()

space/space/space/space/space/space/gradio_tryout.ipynb

@@ -18,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 1,
    "id": "fa0d8126-e346-4412-9197-7d51baf868da",
    "metadata": {
     "scrolled": true
@@ -39,7 +39,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'sequence': 'I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.', 'labels': ['Compass', 'Travel insurance documents', 'Cooler', 'Poncho', 'Comfortable shoes', 'Thermal clothing', 'Business attire', 'Stroller', 'Refillable water bottle', 'Sunscreen', 'Hiking boots', 'Trekking poles', 'Tent', 'Tent', 'Swimsuit', 'Lightweight backpack', 'Diapers', 'Pen', 'Lip balm', 'Bandana', 'Presentation materials', 'Snorkel gear', 'Sunglasses', 'Sunglasses', 'Snowboard', 'Baby wipes', 'Emergency roadside kit', 'Blanket', 'Passport', 'Aloe vera gel', 'Currency', 'Beanie', 'Hand warmers', 'Reusable shopping bags', 'Hat', 'Travel-sized toiletries', 'Waterproof phone case', 'Energy bars', 'Baby food', 'Reusable water bottle', 'Flashlight', 'Gloves', 'Baby clothes', 'Hostel lock', 'Visa documents', 'Camping stove', 'Bug spray', 'Packable rain jacket', 'Travel pillow', 'Power bank', 'Earplugs', 'Quick-dry towel', 'Reusable coffee mug', 'Travel journal', 'Fanny pack', 'Headphones', 'Notebook', 'Dress shoes', 'Nursing cover', 'Playlist', 'Base layers', 'Work ID badge', 'Festival tickets', 'Sleeping bag', 'Laptop', 'Baby blanket', 'Charging cables', 'Snow boots', 'First aid kit', 'Snacks', 'Flip-flops', 'Toys', 'Car charger', 'Ski jacket', 'Dry bag', 'Pacifier', 'Map', 'Portable charger', 'Travel crib', 'Multi-tool', 'Beach bag', 'Ski goggles', 'SIM card', 'Glow sticks', 'Beach towel', 'Travel adapter', 'Neck wallet', 'Language phrasebook', 'Water filter'], 'scores': [0.011984821408987045, 0.011970506981015205, 0.011933253146708012, 0.011915490962564945, 0.011904211714863777, 0.011892491020262241, 0.01188766211271286, 0.011866495944559574, 0.011842762120068073, 0.011789090000092983, 0.011770269833505154, 0.011769718490540981, 0.011746660806238651, 0.011746660806238651, 0.011718676425516605, 0.01164235919713974, 0.011551206931471825, 0.011529732495546341, 0.011518468149006367, 0.011516833677887917, 0.011508049443364143, 0.011507270857691765, 0.01149584911763668, 0.01149584911763668, 0.011495097540318966, 0.01149324607104063, 0.011486946605145931, 0.01148668210953474, 0.011478666216135025, 0.011473646387457848, 0.011412998661398888, 0.011398673988878727, 0.011378799565136433, 0.01135518029332161, 0.011335738934576511, 0.011330211535096169, 0.011329339817166328, 0.011324702762067318, 0.01131915021687746, 0.01131164189428091, 0.011294065974652767, 0.011273612268269062, 0.011272135190665722, 0.011252084746956825, 0.01122584380209446, 0.011216048151254654, 0.011204490438103676, 0.011203117668628693, 0.01117485947906971, 0.01117344293743372, 0.011145292781293392, 0.011137993074953556, 0.011128612793982029, 0.011123239994049072, 0.011122280731797218, 0.011065744794905186, 0.011053262278437614, 0.011045967228710651, 0.011041177436709404, 0.011033336631953716, 0.01102971937507391, 0.0110141197219491, 0.01100961398333311, 0.011002525687217712, 0.010937424376606941, 0.01093329582363367, 0.010918675921857357, 0.010917853564023972, 0.010890142060816288, 0.01088369358330965, 0.010871977545320988, 0.010870742611587048, 0.010863195173442364, 0.010844682343304157, 0.01084016915410757, 0.010835953988134861, 0.010834810324013233, 0.010826902464032173, 0.010796850547194481, 0.010746038518846035, 0.010692491196095943, 0.010686952620744705, 0.010679351165890694, 0.010655333288013935, 0.010604050010442734, 0.010574583895504475, 0.010439733043313026, 0.010402928106486797, 0.010294477455317974]}\n"
+      "{'sequence': 'I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.', 'labels': ['Map', 'Compass', 'Laptop', 'Car charger', 'Toys', 'Travel crib', 'Hat', 'Playlist', 'Stroller', 'Currency', 'Travel adapter', 'Hostel lock', 'Pen', 'Charging cables', 'Flip-flops', 'Pacifier', 'Camping stove', 'Multi-tool', 'Passport', 'Poncho', 'Hiking boots', 'Portable charger', 'Power bank', 'Trekking poles', 'Snowboard', 'Base layers', 'Bandana', 'Aloe vera gel', 'Gloves', 'Baby blanket', 'Tent', 'Tent', 'Snorkel gear', 'Water filter', 'Diapers', 'Presentation materials', 'Nursing cover', 'Headphones', 'Sunscreen', 'Beach towel', 'Snacks', 'Ski jacket', 'Earplugs', 'Ski goggles', 'Flashlight', 'Neck wallet', 'Swimsuit', 'Notebook', 'Thermal clothing', 'Blanket', 'Snow boots', 'Sleeping bag', 'Lightweight backpack', 'Refillable water bottle', 'Quick-dry towel', 'Comfortable shoes', 'Reusable shopping bags', 'Travel journal', 'Travel pillow', 'Beach bag', 'Reusable coffee mug', 'Reusable water bottle', 'Festival tickets', 'Waterproof phone case', 'Business attire', 'Sunglasses', 'Sunglasses', 'Cooler', 'Baby clothes', 'Fanny pack', 'Beanie', 'First aid kit', 'Emergency roadside kit', 'Dry bag', 'SIM card', 'Energy bars', 'Baby food', 'Work ID badge', 'Packable rain jacket', 'Hand warmers', 'Visa documents', 'Glow sticks', 'Bug spray', 'Travel-sized toiletries', 'Dress shoes', 'Language phrasebook', 'Baby wipes', 'Lip balm', 'Travel insurance documents'], 'scores': [0.013028442859649658, 0.012909057550132275, 0.0124660674482584, 0.012431488372385502, 0.012379261665046215, 0.012377972714602947, 0.012329353019595146, 0.012096051126718521, 0.012086767703294754, 0.011947661638259888, 0.011939236894249916, 0.011935302056372166, 0.011887168511748314, 0.011814153753221035, 0.011788924224674702, 0.011783207766711712, 0.01177265401929617, 0.011771135963499546, 0.011747810058295727, 0.011738969013094902, 0.01169698778539896, 0.01166312862187624, 0.011658026836812496, 0.011596457101404667, 0.01158847101032734, 0.011561167426407337, 0.011526867747306824, 0.01149983424693346, 0.011472185142338276, 0.011455104686319828, 0.011445573531091213, 0.011445573531091213, 0.011444379575550556, 0.011416648514568806, 0.01136692427098751, 0.011363024823367596, 0.011361461132764816, 0.011328471824526787, 0.011299548670649529, 0.011291779577732086, 0.011282541789114475, 0.01127372495830059, 0.011270811781287193, 0.011263585649430752, 0.011179029010236263, 0.011149592697620392, 0.01113132108002901, 0.011122703552246094, 0.011105425655841827, 0.011101326905190945, 0.011090466752648354, 0.011066330596804619, 0.011058374308049679, 0.011055233888328075, 0.01103114802390337, 0.011022195219993591, 0.011012199334800243, 0.01100123766809702, 0.010985593311488628, 0.010961917228996754, 0.010958753526210785, 0.010938071645796299, 0.010903625749051571, 0.010879918932914734, 0.010863620787858963, 0.010824359022080898, 0.010824359022080898, 0.010805793106555939, 0.010763236321508884, 0.010710005648434162, 0.010690474882721901, 0.010647830553352833, 0.010583569295704365, 0.010571518912911415, 0.010570857673883438, 0.010552200488746166, 0.0105352271348238, 0.010523369535803795, 0.010514546185731888, 0.010479346849024296, 0.010450395755469799, 0.010436479933559895, 0.01043587177991867, 0.010400519706308842, 0.010214710608124733, 0.010052643716335297, 0.010041419416666031, 0.010003888048231602, 0.009946384467184544]}\n"
      ]
     }
    ],
@@ -73,15 +73,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 2,
    "id": "521d9118-b59d-4cc6-b637-20202eaf8f33",
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running on local URL:  http://127.0.0.1:7866\n",
+      "Running on local URL:  http://127.0.0.1:7860\n",
       "\n",
       "To create a public link, set `share=True` in `launch()`.\n"
      ]
@@ -89,7 +91,7 @@
     {
      "data": {
       "text/html": [
-       "<div><iframe src=\"http://127.0.0.1:7866/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+       "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
       ],
       "text/plain": [
        "<IPython.core.display.HTML object>"
@@ -116,6 +118,48 @@
     "if __name__ == \"__main__\":\n",
     "    demo.launch()"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d6526d18-6ba6-4a66-8310-21337b832d84",
+   "metadata": {},
+   "source": [
+    "Simple app"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5496ded9-7294-4da4-af05-00e5846cdd04",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import gradio as gr\n",
+    "from transformers import pipeline\n",
+    "\n",
+    "# Initialize the zero-shot classification pipeline\n",
+    "classifier = pipeline(\"zero-shot-classification\", model=\"facebook/bart-base\")\n",
+    "\n",
+    "# Define the classification function\n",
+    "def classify_text(text, labels):\n",
+    "    labels = labels.split(\",\")  # Convert the comma-separated string into a list\n",
+    "    result = classifier(text, candidate_labels=labels)\n",
+    "    return result\n",
+    "\n",
+    "# Set up the Gradio interface\n",
+    "with gr.Blocks() as demo:\n",
+    "    gr.Markdown(\"# Zero-Shot Classification\")\n",
+    "    text_input = gr.Textbox(label=\"Input Text\")\n",
+    "    label_input = gr.Textbox(label=\"Comma-separated Labels\")\n",
+    "    output = gr.JSON(label=\"Result\")\n",
+    "    classify_button = gr.Button(\"Classify\")\n",
+    "\n",
+    "    # Link the button to the classification function\n",
+    "    classify_button.click(classify_text, inputs=[text_input, label_input], outputs=output)\n",
+    "\n",
+    "# Launch the Gradio interface\n",
+    "demo.launch()"
+   ]
   }
  ],
  "metadata": {

space/space/space/space/space/space/packing_list_api.ipynb

@@ -10,7 +10,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 2,
    "id": "05a29daa-b70e-4c7c-ba03-9ab641f424cb",
    "metadata": {},
    "outputs": [],
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 3,
    "id": "21b4f8b6-e774-45ad-8054-bf5db2b7b07c",
    "metadata": {},
    "outputs": [
@@ -69,7 +69,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 4,
    "id": "c5f75916-aaf2-4ca7-8d1a-070579940952",
    "metadata": {},
    "outputs": [
@@ -114,66 +114,6 @@
     "print(output)"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "8a6318c1-fa5f-4d16-8507-eaebe6294ac0",
-   "metadata": {},
-   "source": [
-    "**Use batches of 10 labels and combine results**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "id": "fe42a222-5ff4-4442-93f4-42fc22001af6",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "{'sequence': \"I'm going on a 2-week hiking trip in the Alps during winter.\", 'labels': ['Map', 'Backpack', 'Tent', 'Thermal clothing', 'Hiking boots', 'Flashlight', 'Gloves', 'Camping stove', 'Water filter', 'Sleeping bag'], 'scores': [0.30358555912971497, 0.12884855270385742, 0.10985139012336731, 0.10500500351190567, 0.10141848027706146, 0.08342219144105911, 0.0704946368932724, 0.05127469450235367, 0.024876652285456657, 0.021222807466983795]}\n",
-      "{'sequence': \"I'm going on a 2-week hiking trip in the Alps during winter.\", 'labels': ['Ski jacket', 'Snow boots', 'Hand warmers', 'Beanie', 'Ski goggles', 'Flip-flops', 'First aid kit', 'Sunscreen', 'Swimsuit', 'Lip balm'], 'scores': [0.20171622931957245, 0.1621972620487213, 0.12313881516456604, 0.10742709040641785, 0.09418268501758575, 0.08230196684598923, 0.07371978461742401, 0.06208840385079384, 0.05506424233317375, 0.038163457065820694]}\n",
-      "\n",
-      "Recommended packing list: ['Map', 'Backpack', 'Tent', 'Thermal clothing', 'Hiking boots', 'Ski jacket', 'Snow boots', 'Hand warmers', 'Beanie']\n"
-     ]
-    }
-   ],
-   "source": [
-    "\n",
-    "input_text = \"I'm going on a 2-week hiking trip in the Alps during winter.\"\n",
-    "\n",
-    "\n",
-    "# Define the full list of possible packing items (split into groups of 10)\n",
-    "candidate_labels = [\n",
-    "    [\"Hiking boots\", \"Tent\", \"Sleeping bag\", \"Camping stove\", \"Backpack\",\n",
-    "     \"Water filter\", \"Flashlight\", \"Thermal clothing\", \"Gloves\", \"Map\"],\n",
-    "    \n",
-    "    [\"Swimsuit\", \"Sunscreen\", \"Flip-flops\", \"Ski jacket\", \"Ski goggles\",\n",
-    "     \"Snow boots\", \"Beanie\", \"Hand warmers\", \"Lip balm\", \"First aid kit\"]\n",
-    "]\n",
-    "\n",
-    "# Run classification in batches\n",
-    "packing_list = []\n",
-    "for batch in candidate_labels:\n",
-    "    result = query({\"inputs\": input_text, \"parameters\": {\"candidate_labels\": batch}})\n",
-    "    print(result)\n",
-    "    for label, score in zip(result[\"labels\"], result[\"scores\"]):\n",
-    "        if score > 0.1:  # Adjust threshold as needed\n",
-    "            packing_list.append(label)\n",
-    "\n",
-    "# Print the final packing list\n",
-    "print(\"\\nRecommended packing list:\", packing_list)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "660072ea-b72f-4bee-a9ed-81019775ae85",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "id": "edf44387-d166-4e0f-a8ad-621230aee115",
@@ -184,92 +124,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 5,
    "id": "d0d8f7c0-c2d9-4fbe-b1a7-699a5b99466c",
    "metadata": {},
    "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5e371dee58d64e7b8bf6635e0e88f8db",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "config.json:   0%|          | 0.00/1.72k [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "d479e18a65314ad5927ea2bf7453db7c",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "model.safetensors:   0%|          | 0.00/558M [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
       "Some weights of BartForSequenceClassification were not initialized from the model checkpoint at facebook/bart-base and are newly initialized: ['classification_head.dense.bias', 'classification_head.dense.weight', 'classification_head.out_proj.bias', 'classification_head.out_proj.weight']\n",
-      "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "8dc911686edb4b15baa880ae657c163d",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "vocab.json:   0%|          | 0.00/899k [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e60a6df28292441bb5317ef80c9de795",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "merges.txt:   0%|          | 0.00/456k [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c7eaab50789b42a796d0deb3008f247e",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "tokenizer.json:   0%|          | 0.00/1.36M [00:00<?, ?B/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
+      "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n",
       "Hardware accelerator e.g. GPU is available in the environment, but no `device` argument is passed to the `Pipeline` object. Model will be on CPU.\n",
       "Failed to determine 'entailment' label id from the label2id mapping in the model config. Setting to -1. Define a descriptive label2id mapping in the model config to ensure correct outputs.\n"
      ]
@@ -284,7 +148,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 6,
    "id": "4682d620-c9a6-40ad-ab4c-268ee0ef7212",
    "metadata": {},
    "outputs": [
@@ -299,7 +163,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'sequence': 'I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.', 'labels': ['Travel-sized toiletries', 'Refillable water bottle', 'Aloe vera gel', 'Snorkel gear', 'Waterproof phone case', 'Packable rain jacket', 'Reusable shopping bags', 'Reusable coffee mug', 'Reusable water bottle', 'First aid kit', 'Travel insurance documents', 'Work ID badge', 'Lightweight backpack', 'Presentation materials', 'Flip-flops', 'Charging cables', 'Hiking boots', 'Comfortable shoes', 'Fanny pack', 'Trekking poles', 'Visa documents', 'Baby wipes', 'Quick-dry towel', 'Baby blanket', 'Hostel lock', 'Blanket', 'Business attire', 'Laptop', 'Beanie', 'Bug spray', 'Travel pillow', 'Baby clothes', 'Passport', 'Earplugs', 'Camping stove', 'Travel journal', 'Emergency roadside kit', 'Baby food', 'Pen', 'Bandana', 'Dress shoes', 'Snacks', 'Travel crib', 'Sunscreen', 'Ski goggles', 'Sunglasses', 'Sunglasses', 'Stroller', 'Lip balm', 'Notebook', 'Glow sticks', 'Cooler', 'Snowboard', 'Map', 'Thermal clothing', 'Neck wallet', 'Water filter', 'Travel adapter', 'Currency', 'Nursing cover', 'Snow boots', 'Pacifier', 'Sleeping bag', 'Car charger', 'Diapers', 'Flashlight', 'Ski jacket', 'Portable charger', 'Playlist', 'Swimsuit', 'Tent', 'Tent', 'SIM card', 'Compass', 'Multi-tool', 'Hat', 'Base layers', 'Energy bars', 'Toys', 'Power bank', 'Dry bag', 'Beach towel', 'Beach bag', 'Poncho', 'Headphones', 'Gloves', 'Festival tickets', 'Hand warmers', 'Language phrasebook'], 'scores': [0.014162097126245499, 0.013634984381496906, 0.013528786599636078, 0.013522890396416187, 0.013521893881261349, 0.013390542939305305, 0.013313423842191696, 0.01292099617421627, 0.01269496325403452, 0.01249685138463974, 0.012418625876307487, 0.012351310811936855, 0.012286719866096973, 0.012170663103461266, 0.01216645073145628, 0.012136084027588367, 0.012111806310713291, 0.01203493494540453, 0.011913969181478024, 0.011860690079629421, 0.01184084452688694, 0.011729727499186993, 0.0116303451359272, 0.011585962027311325, 0.011557267978787422, 0.011486714705824852, 0.011480122804641724, 0.011266479268670082, 0.011243777349591255, 0.011239712126553059, 0.011195540428161621, 0.011194570921361446, 0.01118150819092989, 0.011168110184371471, 0.011141857132315636, 0.01114004384726286, 0.011128030717372894, 0.0110848443582654, 0.01107991486787796, 0.01107126846909523, 0.011069754138588905, 0.011015287600457668, 0.01101327408105135, 0.010999458841979504, 0.010981021448969841, 0.010975920595228672, 0.010975920595228672, 0.010966054163873196, 0.010964509099721909, 0.01093060988932848, 0.010892837308347225, 0.010852692648768425, 0.010844447650015354, 0.010827522724866867, 0.010805405676364899, 0.010789167135953903, 0.010784591548144817, 0.010779209434986115, 0.010761956684291363, 0.010743752121925354, 0.010727204382419586, 0.010722712613642216, 0.010696588084101677, 0.01069594919681549, 0.010669016279280186, 0.010664715431630611, 0.010641842149198055, 0.01063066441565752, 0.010608346201479435, 0.010583184659481049, 0.010549037717282772, 0.010549037717282772, 0.010522513650357723, 0.010509520769119263, 0.010469724424183369, 0.010431424714624882, 0.010407780297100544, 0.010376540012657642, 0.01036670058965683, 0.010329049080610275, 0.010298855602741241, 0.01027328334748745, 0.010225902311503887, 0.010063442401587963, 0.01005304791033268, 0.010049044154584408, 0.009841262362897396, 0.009678435511887074, 0.009306504391133785]}\n"
+      "{'sequence': 'I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.', 'labels': ['Swimsuit', 'Travel crib', 'Business attire', 'Toys', 'Notebook', 'Travel adapter', 'Compass', 'Travel pillow', 'Headphones', 'Travel journal', 'Playlist', 'Flip-flops', 'Hiking boots', 'Reusable coffee mug', 'Comfortable shoes', 'Nursing cover', 'Gloves', 'Tent', 'Tent', 'Sunglasses', 'Sunglasses', 'Charging cables', 'Travel-sized toiletries', 'Refillable water bottle', 'Energy bars', 'Dress shoes', 'Festival tickets', 'Lightweight backpack', 'Packable rain jacket', 'Flashlight', 'Hostel lock', 'Presentation materials', 'Thermal clothing', 'Snowboard', 'Camping stove', 'Reusable shopping bags', 'Reusable water bottle', 'Blanket', 'Diapers', 'Snorkel gear', 'Snacks', 'Emergency roadside kit', 'Beach towel', 'Sunscreen', 'Car charger', 'Bug spray', 'Passport', 'Currency', 'Beach bag', 'Ski jacket', 'First aid kit', 'Cooler', 'Quick-dry towel', 'Laptop', 'Aloe vera gel', 'Earplugs', 'Baby wipes', 'Ski goggles', 'Travel insurance documents', 'Portable charger', 'Beanie', 'Bandana', 'Multi-tool', 'Pacifier', 'Stroller', 'Language phrasebook', 'Waterproof phone case', 'Dry bag', 'Map', 'Lip balm', 'Fanny pack', 'Trekking poles', 'Power bank', 'Baby clothes', 'Baby food', 'Poncho', 'Sleeping bag', 'Work ID badge', 'Visa documents', 'SIM card', 'Water filter', 'Snow boots', 'Hand warmers', 'Baby blanket', 'Base layers', 'Pen', 'Hat', 'Neck wallet', 'Glow sticks'], 'scores': [0.012542711570858955, 0.012216676957905293, 0.012068654410541058, 0.011977529153227806, 0.011932261288166046, 0.011920000426471233, 0.011883101426064968, 0.011842883192002773, 0.011819617822766304, 0.011810989119112492, 0.011761271394789219, 0.011756575666368008, 0.011726364493370056, 0.011664840392768383, 0.011632450856268406, 0.01163020171225071, 0.01158054918050766, 0.011572858318686485, 0.011572858318686485, 0.011541635729372501, 0.011541635729372501, 0.011517350561916828, 0.011510960757732391, 0.011489875614643097, 0.011469963937997818, 0.011466587893664837, 0.011442759074270725, 0.011438597925007343, 0.011437375098466873, 0.011433145962655544, 0.011407203041017056, 0.011401104740798473, 0.01135423593223095, 0.011333385482430458, 0.011328010819852352, 0.011325137689709663, 0.01131997536867857, 0.011306566186249256, 0.011299673467874527, 0.011281789280474186, 0.011264320462942123, 0.011257764883339405, 0.011256475001573563, 0.011253912933170795, 0.011252702213823795, 0.011248898692429066, 0.011247594840824604, 0.011239985004067421, 0.01121864840388298, 0.011208567768335342, 0.011174682527780533, 0.011166973039507866, 0.011159253306686878, 0.011151333339512348, 0.011140624061226845, 0.011139076203107834, 0.01113345380872488, 0.011126152239739895, 0.011093570850789547, 0.011078842915594578, 0.011067545972764492, 0.011044573038816452, 0.01101986039429903, 0.011016158387064934, 0.011015082709491253, 0.011007890105247498, 0.010997296310961246, 0.010962157510221004, 0.01095755398273468, 0.010940180160105228, 0.01088095735758543, 0.010869039222598076, 0.010858545079827309, 0.010820968076586723, 0.01080892514437437, 0.010798529721796513, 0.01077410951256752, 0.010764310136437416, 0.010748079977929592, 0.010681436397135258, 0.010675576515495777, 0.010557047091424465, 0.010552684776484966, 0.010509641841053963, 0.010396942496299744, 0.01037551462650299, 0.01033466774970293, 0.010237698443233967, 0.009954877197742462]}\n"
      ]
     }
    ],

space/space/space/space/space/space/space/space/requirements.txt

@@ -0,0 +1,3 @@
+transformers
+gradio
+torch

space/space/space/space/space/space/space/space/space/.gitignore

@@ -0,0 +1 @@
+.env

space/space/space/space/space/space/space/space/space/.ipynb_checkpoints/app-checkpoint.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from transformers import pipeline
+
+# Initialize the zero-shot classification pipeline
+classifier = pipeline("zero-shot-classification", model="facebook/bart-base")
+
+# Define the classification function
+def classify_text(text, labels):
+    labels = labels.split(",")  # Convert the comma-separated string into a list
+    result = classifier(text, candidate_labels=labels)
+    return result
+
+# Set up the Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("# Zero-Shot Classification")
+    text_input = gr.Textbox(label="Input Text")
+    label_input = gr.Textbox(label="Comma-separated Labels")
+    output = gr.JSON(label="Result")
+    classify_button = gr.Button("Classify")
+
+    # Link the button to the classification function
+    classify_button.click(classify_text, inputs=[text_input, label_input], outputs=output)
+
+# Launch the Gradio interface
+demo.launch()

space/space/space/space/space/space/space/space/space/.ipynb_checkpoints/gradio_tryout-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

space/space/space/space/space/space/space/space/space/.ipynb_checkpoints/packing_list_api-checkpoint.ipynb

@@ -0,0 +1,199 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "7b73f12d-1104-4eea-ac08-3716aa9af45b",
+   "metadata": {},
+   "source": [
+    "**Zero shot classification**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "05a29daa-b70e-4c7c-ba03-9ab641f424cb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dotenv import load_dotenv\n",
+    "import os\n",
+    "import requests\n",
+    "\n",
+    "load_dotenv()  # Load environment variables from .env file, contains personal access token (HF_API_TOKEN=your_token)\n",
+    "\n",
+    "API_URL = \"https://api-inference.huggingface.co/models/facebook/bart-large-mnli\"\n",
+    "# API_URL = \"https://api-inference.huggingface.co/models/MoritzLaurer/mDeBERTa-v3-base-mnli-xnli\"\n",
+    "# API_URL = \"https://api-inference.huggingface.co/models/cross-encoder/nli-deberta-v3-base\"\n",
+    "# API_URL = \"https://api-inference.huggingface.co/models/valhalla/distilbart-mnli-12-3\"\n",
+    "headers = {\"Authorization\": f\"Bearer {os.getenv('HF_API_TOKEN')}\"}\n",
+    "\n",
+    "def query(payload):\n",
+    "    response = requests.post(API_URL, headers=headers, json=payload)\n",
+    "    return response.json()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "21b4f8b6-e774-45ad-8054-bf5db2b7b07c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'sequence': 'I just bought a new laptop, and it works amazing!', 'labels': ['technology', 'health', 'sports', 'politics'], 'scores': [0.9709171652793884, 0.014999167993664742, 0.008272457867860794, 0.005811102222651243]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Input text to classify\n",
+    "input_text = \"I just bought a new laptop, and it works amazing!\"\n",
+    "\n",
+    "# Candidate labels\n",
+    "candidate_labels = [\"technology\", \"sports\", \"politics\", \"health\"]\n",
+    "\n",
+    "# Get the prediction\n",
+    "output = query({\"inputs\": input_text, \"parameters\": {\"candidate_labels\": candidate_labels}})\n",
+    "print(output)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fb7e69c7-b590-4b40-8478-76d055583f2a",
+   "metadata": {},
+   "source": [
+    "**Try packing list labels**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "c5f75916-aaf2-4ca7-8d1a-070579940952",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'error': ['Error in `parameters.candidate_labels`: ensure this value has at most 10 items']}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Input text to classify\n",
+    "input_text = \"I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.\"\n",
+    "\n",
+    "# Candidate labels\n",
+    "candidate_labels = [\n",
+    "    \"Swimsuit\", \"Sunscreen\", \"Flip-flops\", \"Beach towel\", \"Sunglasses\", \n",
+    "    \"Waterproof phone case\", \"Hat\", \"Beach bag\", \"Snorkel gear\", \"Aloe vera gel\",\n",
+    "    \"Tent\", \"Sleeping bag\", \"Camping stove\", \"Flashlight\", \"Hiking boots\",\n",
+    "    \"Water filter\", \"Compass\", \"First aid kit\", \"Bug spray\", \"Multi-tool\",\n",
+    "    \"Thermal clothing\", \"Ski jacket\", \"Ski goggles\", \"Snow boots\", \"Gloves\",\n",
+    "    \"Hand warmers\", \"Beanie\", \"Lip balm\", \"Snowboard\", \"Base layers\",\n",
+    "    \"Passport\", \"Visa documents\", \"Travel adapter\", \"Currency\", \"Language phrasebook\",\n",
+    "    \"SIM card\", \"Travel pillow\", \"Neck wallet\", \"Travel insurance documents\", \"Power bank\",\n",
+    "    \"Laptop\", \"Notebook\", \"Business attire\", \"Dress shoes\", \"Charging cables\",\n",
+    "    \"Presentation materials\", \"Work ID badge\", \"Pen\", \"Headphones\", \n",
+    "    \"Lightweight backpack\", \"Travel-sized toiletries\", \"Packable rain jacket\",\n",
+    "    \"Reusable water bottle\", \"Dry bag\", \"Trekking poles\", \"Hostel lock\", \"Quick-dry towel\",\n",
+    "    \"Travel journal\", \"Energy bars\", \"Car charger\", \"Snacks\", \"Map\",\n",
+    "    \"Sunglasses\", \"Cooler\", \"Blanket\", \"Emergency roadside kit\", \"Reusable coffee mug\",\n",
+    "    \"Playlist\", \"Reusable shopping bags\", \"Earplugs\", \"Fanny pack\", \"Portable charger\",\n",
+    "    \"Poncho\", \"Bandana\", \"Comfortable shoes\", \"Tent\", \"Refillable water bottle\",\n",
+    "    \"Glow sticks\", \"Festival tickets\", \"Diapers\", \"Baby wipes\", \"Baby food\",\n",
+    "    \"Stroller\", \"Pacifier\", \"Baby clothes\", \"Baby blanket\", \"Travel crib\",\n",
+    "    \"Toys\", \"Nursing cover\"\n",
+    "]\n",
+    "\n",
+    "\n",
+    "# Get the prediction\n",
+    "output = query({\"inputs\": input_text, \"parameters\": {\"candidate_labels\": candidate_labels}})\n",
+    "print(output)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8a6318c1-fa5f-4d16-8507-eaebe6294ac0",
+   "metadata": {},
+   "source": [
+    "**Use batches of 10 labels and combine results**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "fe42a222-5ff4-4442-93f4-42fc22001af6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'sequence': \"I'm going on a 2-week hiking trip in the Alps during winter.\", 'labels': ['Map', 'Backpack', 'Tent', 'Thermal clothing', 'Hiking boots', 'Flashlight', 'Gloves', 'Camping stove', 'Water filter', 'Sleeping bag'], 'scores': [0.30358555912971497, 0.12884855270385742, 0.10985139012336731, 0.10500500351190567, 0.10141848027706146, 0.08342219144105911, 0.0704946368932724, 0.05127469450235367, 0.024876652285456657, 0.021222807466983795]}\n",
+      "{'sequence': \"I'm going on a 2-week hiking trip in the Alps during winter.\", 'labels': ['Ski jacket', 'Snow boots', 'Hand warmers', 'Beanie', 'Ski goggles', 'Flip-flops', 'First aid kit', 'Sunscreen', 'Swimsuit', 'Lip balm'], 'scores': [0.20171622931957245, 0.1621972620487213, 0.12313881516456604, 0.10742709040641785, 0.09418268501758575, 0.08230196684598923, 0.07371978461742401, 0.06208840385079384, 0.05506424233317375, 0.038163457065820694]}\n",
+      "\n",
+      "Recommended packing list: ['Map', 'Backpack', 'Tent', 'Thermal clothing', 'Hiking boots', 'Ski jacket', 'Snow boots', 'Hand warmers', 'Beanie']\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "input_text = \"I'm going on a 2-week hiking trip in the Alps during winter.\"\n",
+    "\n",
+    "\n",
+    "# Define the full list of possible packing items (split into groups of 10)\n",
+    "candidate_labels = [\n",
+    "    [\"Hiking boots\", \"Tent\", \"Sleeping bag\", \"Camping stove\", \"Backpack\",\n",
+    "     \"Water filter\", \"Flashlight\", \"Thermal clothing\", \"Gloves\", \"Map\"],\n",
+    "    \n",
+    "    [\"Swimsuit\", \"Sunscreen\", \"Flip-flops\", \"Ski jacket\", \"Ski goggles\",\n",
+    "     \"Snow boots\", \"Beanie\", \"Hand warmers\", \"Lip balm\", \"First aid kit\"]\n",
+    "]\n",
+    "\n",
+    "# Run classification in batches\n",
+    "packing_list = []\n",
+    "for batch in candidate_labels:\n",
+    "    result = query({\"inputs\": input_text, \"parameters\": {\"candidate_labels\": batch}})\n",
+    "    print(result)\n",
+    "    for label, score in zip(result[\"labels\"], result[\"scores\"]):\n",
+    "        if score > 0.1:  # Adjust threshold as needed\n",
+    "            packing_list.append(label)\n",
+    "\n",
+    "# Print the final packing list\n",
+    "print(\"\\nRecommended packing list:\", packing_list)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "953b244c-0611-4706-a941-eac5064c643f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python (huggingface_env)",
+   "language": "python",
+   "name": "huggingface_env"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.20"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

space/space/space/space/space/space/space/space/space/app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from transformers import pipeline
+
+# Initialize the zero-shot classification pipeline
+classifier = pipeline("zero-shot-classification", model="facebook/bart-base")
+
+# Define the classification function
+def classify_text(text, labels):
+    labels = labels.split(",")  # Convert the comma-separated string into a list
+    result = classifier(text, candidate_labels=labels)
+    return result
+
+# Set up the Gradio interface
+with gr.Blocks() as demo:
+    gr.Markdown("# Zero-Shot Classification")
+    text_input = gr.Textbox(label="Input Text")
+    label_input = gr.Textbox(label="Comma-separated Labels")
+    output = gr.JSON(label="Result")
+    classify_button = gr.Button("Classify")
+
+    # Link the button to the classification function
+    classify_button.click(classify_text, inputs=[text_input, label_input], outputs=output)
+
+# Launch the Gradio interface
+demo.launch()

space/space/space/space/space/space/space/space/space/gradio_tryout.ipynb

@@ -0,0 +1,142 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e25090fa-f990-4f1a-84f3-b12159eedae8",
+   "metadata": {},
+   "source": [
+    "# Try out gradio"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3bbee2e4-55c8-4b06-9929-72026edf7932",
+   "metadata": {},
+   "source": [
+    "Try model"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "fa0d8126-e346-4412-9197-7d51baf868da",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Some weights of BartForSequenceClassification were not initialized from the model checkpoint at facebook/bart-base and are newly initialized: ['classification_head.dense.bias', 'classification_head.dense.weight', 'classification_head.out_proj.bias', 'classification_head.out_proj.weight']\n",
+      "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n",
+      "Hardware accelerator e.g. GPU is available in the environment, but no `device` argument is passed to the `Pipeline` object. Model will be on CPU.\n",
+      "Failed to determine 'entailment' label id from the label2id mapping in the model config. Setting to -1. Define a descriptive label2id mapping in the model config to ensure correct outputs.\n",
+      "Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'sequence': 'I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.', 'labels': ['Compass', 'Travel insurance documents', 'Cooler', 'Poncho', 'Comfortable shoes', 'Thermal clothing', 'Business attire', 'Stroller', 'Refillable water bottle', 'Sunscreen', 'Hiking boots', 'Trekking poles', 'Tent', 'Tent', 'Swimsuit', 'Lightweight backpack', 'Diapers', 'Pen', 'Lip balm', 'Bandana', 'Presentation materials', 'Snorkel gear', 'Sunglasses', 'Sunglasses', 'Snowboard', 'Baby wipes', 'Emergency roadside kit', 'Blanket', 'Passport', 'Aloe vera gel', 'Currency', 'Beanie', 'Hand warmers', 'Reusable shopping bags', 'Hat', 'Travel-sized toiletries', 'Waterproof phone case', 'Energy bars', 'Baby food', 'Reusable water bottle', 'Flashlight', 'Gloves', 'Baby clothes', 'Hostel lock', 'Visa documents', 'Camping stove', 'Bug spray', 'Packable rain jacket', 'Travel pillow', 'Power bank', 'Earplugs', 'Quick-dry towel', 'Reusable coffee mug', 'Travel journal', 'Fanny pack', 'Headphones', 'Notebook', 'Dress shoes', 'Nursing cover', 'Playlist', 'Base layers', 'Work ID badge', 'Festival tickets', 'Sleeping bag', 'Laptop', 'Baby blanket', 'Charging cables', 'Snow boots', 'First aid kit', 'Snacks', 'Flip-flops', 'Toys', 'Car charger', 'Ski jacket', 'Dry bag', 'Pacifier', 'Map', 'Portable charger', 'Travel crib', 'Multi-tool', 'Beach bag', 'Ski goggles', 'SIM card', 'Glow sticks', 'Beach towel', 'Travel adapter', 'Neck wallet', 'Language phrasebook', 'Water filter'], 'scores': [0.011984821408987045, 0.011970506981015205, 0.011933253146708012, 0.011915490962564945, 0.011904211714863777, 0.011892491020262241, 0.01188766211271286, 0.011866495944559574, 0.011842762120068073, 0.011789090000092983, 0.011770269833505154, 0.011769718490540981, 0.011746660806238651, 0.011746660806238651, 0.011718676425516605, 0.01164235919713974, 0.011551206931471825, 0.011529732495546341, 0.011518468149006367, 0.011516833677887917, 0.011508049443364143, 0.011507270857691765, 0.01149584911763668, 0.01149584911763668, 0.011495097540318966, 0.01149324607104063, 0.011486946605145931, 0.01148668210953474, 0.011478666216135025, 0.011473646387457848, 0.011412998661398888, 0.011398673988878727, 0.011378799565136433, 0.01135518029332161, 0.011335738934576511, 0.011330211535096169, 0.011329339817166328, 0.011324702762067318, 0.01131915021687746, 0.01131164189428091, 0.011294065974652767, 0.011273612268269062, 0.011272135190665722, 0.011252084746956825, 0.01122584380209446, 0.011216048151254654, 0.011204490438103676, 0.011203117668628693, 0.01117485947906971, 0.01117344293743372, 0.011145292781293392, 0.011137993074953556, 0.011128612793982029, 0.011123239994049072, 0.011122280731797218, 0.011065744794905186, 0.011053262278437614, 0.011045967228710651, 0.011041177436709404, 0.011033336631953716, 0.01102971937507391, 0.0110141197219491, 0.01100961398333311, 0.011002525687217712, 0.010937424376606941, 0.01093329582363367, 0.010918675921857357, 0.010917853564023972, 0.010890142060816288, 0.01088369358330965, 0.010871977545320988, 0.010870742611587048, 0.010863195173442364, 0.010844682343304157, 0.01084016915410757, 0.010835953988134861, 0.010834810324013233, 0.010826902464032173, 0.010796850547194481, 0.010746038518846035, 0.010692491196095943, 0.010686952620744705, 0.010679351165890694, 0.010655333288013935, 0.010604050010442734, 0.010574583895504475, 0.010439733043313026, 0.010402928106486797, 0.010294477455317974]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "from transformers import pipeline\n",
+    "import gradio as gr\n",
+    "\n",
+    "# Load the model and create a pipeline for zero-shot classification\n",
+    "classifier = pipeline(\"zero-shot-classification\", model=\"facebook/bart-base\")\n",
+    "\n",
+    "# Load labels from a txt file\n",
+    "with open(\"labels.txt\", \"r\", encoding=\"utf-8\") as f:\n",
+    "    class_labels = [line.strip() for line in f if line.strip()]\n",
+    "\n",
+    "# Example text to classify\n",
+    "input_text = \"I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.\"\n",
+    "\n",
+    "# Perform classification\n",
+    "result = classifier(input_text, class_labels)\n",
+    "\n",
+    "print(result)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8e856a9c-a66c-4c4b-b7cf-8c52abbbc6fa",
+   "metadata": {},
+   "source": [
+    "Use model with gradio"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "521d9118-b59d-4cc6-b637-20202eaf8f33",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Running on local URL:  http://127.0.0.1:7866\n",
+      "\n",
+      "To create a public link, set `share=True` in `launch()`.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div><iframe src=\"http://127.0.0.1:7866/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+      ],
+      "text/plain": [
+       "<IPython.core.display.HTML object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Define the Gradio interface\n",
+    "def classify(text):\n",
+    "    return classifier(text, class_labels)\n",
+    "\n",
+    "demo = gr.Interface(\n",
+    "    fn=classify,\n",
+    "    inputs=\"text\",\n",
+    "    outputs=\"json\",\n",
+    "    title=\"Zero-Shot Classification\",\n",
+    "    description=\"Enter a text describing your trip\",\n",
+    ")\n",
+    "\n",
+    "# Launch the Gradio app\n",
+    "if __name__ == \"__main__\":\n",
+    "    demo.launch()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python (huggingface_env)",
+   "language": "python",
+   "name": "huggingface_env"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.20"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

space/space/space/space/space/space/space/space/space/labels.txt

@@ -0,0 +1,89 @@
+Swimsuit
+Sunscreen
+Flip-flops
+Beach towel
+Sunglasses
+Waterproof phone case
+Hat
+Beach bag
+Snorkel gear
+Aloe vera gel
+Tent
+Sleeping bag
+Camping stove
+Flashlight
+Hiking boots
+Water filter
+Compass
+First aid kit
+Bug spray
+Multi-tool
+Thermal clothing
+Ski jacket
+Ski goggles
+Snow boots
+Gloves
+Hand warmers
+Beanie
+Lip balm
+Snowboard
+Base layers
+Passport
+Visa documents
+Travel adapter
+Currency
+Language phrasebook
+SIM card
+Travel pillow
+Neck wallet
+Travel insurance documents
+Power bank
+Laptop
+Notebook
+Business attire
+Dress shoes
+Charging cables
+Presentation materials
+Work ID badge
+Pen
+Headphones
+Lightweight backpack
+Travel-sized toiletries
+Packable rain jacket
+Reusable water bottle
+Dry bag
+Trekking poles
+Hostel lock
+Quick-dry towel
+Travel journal
+Energy bars
+Car charger
+Snacks
+Map
+Sunglasses
+Cooler
+Blanket
+Emergency roadside kit
+Reusable coffee mug
+Playlist
+Reusable shopping bags
+Earplugs
+Fanny pack
+Portable charger
+Poncho
+Bandana
+Comfortable shoes
+Tent
+Refillable water bottle
+Glow sticks
+Festival tickets
+Diapers
+Baby wipes
+Baby food
+Stroller
+Pacifier
+Baby clothes
+Baby blanket
+Travel crib
+Toys
+Nursing cover

space/space/space/space/space/space/space/space/space/packing_list_api.ipynb

@@ -0,0 +1,617 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "7b73f12d-1104-4eea-ac08-3716aa9af45b",
+   "metadata": {},
+   "source": [
+    "**Zero shot classification**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "05a29daa-b70e-4c7c-ba03-9ab641f424cb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from dotenv import load_dotenv\n",
+    "import os\n",
+    "import requests\n",
+    "\n",
+    "load_dotenv()  # Load environment variables from .env file, contains personal access token (HF_API_TOKEN=your_token)\n",
+    "\n",
+    "API_URL = \"https://api-inference.huggingface.co/models/facebook/bart-large-mnli\"\n",
+    "# API_URL = \"https://api-inference.huggingface.co/models/MoritzLaurer/mDeBERTa-v3-base-mnli-xnli\"\n",
+    "# API_URL = \"https://api-inference.huggingface.co/models/cross-encoder/nli-deberta-v3-base\"\n",
+    "# API_URL = \"https://api-inference.huggingface.co/models/valhalla/distilbart-mnli-12-3\"\n",
+    "headers = {\"Authorization\": f\"Bearer {os.getenv('HF_API_TOKEN')}\"}\n",
+    "\n",
+    "def query(payload):\n",
+    "    response = requests.post(API_URL, headers=headers, json=payload)\n",
+    "    return response.json()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "21b4f8b6-e774-45ad-8054-bf5db2b7b07c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'sequence': 'I just bought a new laptop, and it works amazing!', 'labels': ['technology', 'health', 'sports', 'politics'], 'scores': [0.9709171652793884, 0.014999167993664742, 0.008272457867860794, 0.005811102222651243]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Input text to classify\n",
+    "input_text = \"I just bought a new laptop, and it works amazing!\"\n",
+    "\n",
+    "# Candidate labels\n",
+    "candidate_labels = [\"technology\", \"sports\", \"politics\", \"health\"]\n",
+    "\n",
+    "# Get the prediction\n",
+    "output = query({\"inputs\": input_text, \"parameters\": {\"candidate_labels\": candidate_labels}})\n",
+    "print(output)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fb7e69c7-b590-4b40-8478-76d055583f2a",
+   "metadata": {},
+   "source": [
+    "**Try packing list labels**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "c5f75916-aaf2-4ca7-8d1a-070579940952",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'error': ['Error in `parameters.candidate_labels`: ensure this value has at most 10 items']}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Input text to classify\n",
+    "input_text = \"I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.\"\n",
+    "\n",
+    "# Candidate labels\n",
+    "candidate_labels = [\n",
+    "    \"Swimsuit\", \"Sunscreen\", \"Flip-flops\", \"Beach towel\", \"Sunglasses\", \n",
+    "    \"Waterproof phone case\", \"Hat\", \"Beach bag\", \"Snorkel gear\", \"Aloe vera gel\",\n",
+    "    \"Tent\", \"Sleeping bag\", \"Camping stove\", \"Flashlight\", \"Hiking boots\",\n",
+    "    \"Water filter\", \"Compass\", \"First aid kit\", \"Bug spray\", \"Multi-tool\",\n",
+    "    \"Thermal clothing\", \"Ski jacket\", \"Ski goggles\", \"Snow boots\", \"Gloves\",\n",
+    "    \"Hand warmers\", \"Beanie\", \"Lip balm\", \"Snowboard\", \"Base layers\",\n",
+    "    \"Passport\", \"Visa documents\", \"Travel adapter\", \"Currency\", \"Language phrasebook\",\n",
+    "    \"SIM card\", \"Travel pillow\", \"Neck wallet\", \"Travel insurance documents\", \"Power bank\",\n",
+    "    \"Laptop\", \"Notebook\", \"Business attire\", \"Dress shoes\", \"Charging cables\",\n",
+    "    \"Presentation materials\", \"Work ID badge\", \"Pen\", \"Headphones\", \n",
+    "    \"Lightweight backpack\", \"Travel-sized toiletries\", \"Packable rain jacket\",\n",
+    "    \"Reusable water bottle\", \"Dry bag\", \"Trekking poles\", \"Hostel lock\", \"Quick-dry towel\",\n",
+    "    \"Travel journal\", \"Energy bars\", \"Car charger\", \"Snacks\", \"Map\",\n",
+    "    \"Sunglasses\", \"Cooler\", \"Blanket\", \"Emergency roadside kit\", \"Reusable coffee mug\",\n",
+    "    \"Playlist\", \"Reusable shopping bags\", \"Earplugs\", \"Fanny pack\", \"Portable charger\",\n",
+    "    \"Poncho\", \"Bandana\", \"Comfortable shoes\", \"Tent\", \"Refillable water bottle\",\n",
+    "    \"Glow sticks\", \"Festival tickets\", \"Diapers\", \"Baby wipes\", \"Baby food\",\n",
+    "    \"Stroller\", \"Pacifier\", \"Baby clothes\", \"Baby blanket\", \"Travel crib\",\n",
+    "    \"Toys\", \"Nursing cover\"\n",
+    "]\n",
+    "\n",
+    "\n",
+    "# Get the prediction\n",
+    "output = query({\"inputs\": input_text, \"parameters\": {\"candidate_labels\": candidate_labels}})\n",
+    "print(output)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8a6318c1-fa5f-4d16-8507-eaebe6294ac0",
+   "metadata": {},
+   "source": [
+    "**Use batches of 10 labels and combine results**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "fe42a222-5ff4-4442-93f4-42fc22001af6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'sequence': \"I'm going on a 2-week hiking trip in the Alps during winter.\", 'labels': ['Map', 'Backpack', 'Tent', 'Thermal clothing', 'Hiking boots', 'Flashlight', 'Gloves', 'Camping stove', 'Water filter', 'Sleeping bag'], 'scores': [0.30358555912971497, 0.12884855270385742, 0.10985139012336731, 0.10500500351190567, 0.10141848027706146, 0.08342219144105911, 0.0704946368932724, 0.05127469450235367, 0.024876652285456657, 0.021222807466983795]}\n",
+      "{'sequence': \"I'm going on a 2-week hiking trip in the Alps during winter.\", 'labels': ['Ski jacket', 'Snow boots', 'Hand warmers', 'Beanie', 'Ski goggles', 'Flip-flops', 'First aid kit', 'Sunscreen', 'Swimsuit', 'Lip balm'], 'scores': [0.20171622931957245, 0.1621972620487213, 0.12313881516456604, 0.10742709040641785, 0.09418268501758575, 0.08230196684598923, 0.07371978461742401, 0.06208840385079384, 0.05506424233317375, 0.038163457065820694]}\n",
+      "\n",
+      "Recommended packing list: ['Map', 'Backpack', 'Tent', 'Thermal clothing', 'Hiking boots', 'Ski jacket', 'Snow boots', 'Hand warmers', 'Beanie']\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "input_text = \"I'm going on a 2-week hiking trip in the Alps during winter.\"\n",
+    "\n",
+    "\n",
+    "# Define the full list of possible packing items (split into groups of 10)\n",
+    "candidate_labels = [\n",
+    "    [\"Hiking boots\", \"Tent\", \"Sleeping bag\", \"Camping stove\", \"Backpack\",\n",
+    "     \"Water filter\", \"Flashlight\", \"Thermal clothing\", \"Gloves\", \"Map\"],\n",
+    "    \n",
+    "    [\"Swimsuit\", \"Sunscreen\", \"Flip-flops\", \"Ski jacket\", \"Ski goggles\",\n",
+    "     \"Snow boots\", \"Beanie\", \"Hand warmers\", \"Lip balm\", \"First aid kit\"]\n",
+    "]\n",
+    "\n",
+    "# Run classification in batches\n",
+    "packing_list = []\n",
+    "for batch in candidate_labels:\n",
+    "    result = query({\"inputs\": input_text, \"parameters\": {\"candidate_labels\": batch}})\n",
+    "    print(result)\n",
+    "    for label, score in zip(result[\"labels\"], result[\"scores\"]):\n",
+    "        if score > 0.1:  # Adjust threshold as needed\n",
+    "            packing_list.append(label)\n",
+    "\n",
+    "# Print the final packing list\n",
+    "print(\"\\nRecommended packing list:\", packing_list)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "660072ea-b72f-4bee-a9ed-81019775ae85",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "edf44387-d166-4e0f-a8ad-621230aee115",
+   "metadata": {},
+   "source": [
+    "**Try to run a model locally**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "d0d8f7c0-c2d9-4fbe-b1a7-699a5b99466c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "5e371dee58d64e7b8bf6635e0e88f8db",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "config.json:   0%|          | 0.00/1.72k [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "d479e18a65314ad5927ea2bf7453db7c",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "model.safetensors:   0%|          | 0.00/558M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Some weights of BartForSequenceClassification were not initialized from the model checkpoint at facebook/bart-base and are newly initialized: ['classification_head.dense.bias', 'classification_head.dense.weight', 'classification_head.out_proj.bias', 'classification_head.out_proj.weight']\n",
+      "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "8dc911686edb4b15baa880ae657c163d",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "vocab.json:   0%|          | 0.00/899k [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "e60a6df28292441bb5317ef80c9de795",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "merges.txt:   0%|          | 0.00/456k [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "c7eaab50789b42a796d0deb3008f247e",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "tokenizer.json:   0%|          | 0.00/1.36M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Hardware accelerator e.g. GPU is available in the environment, but no `device` argument is passed to the `Pipeline` object. Model will be on CPU.\n",
+      "Failed to determine 'entailment' label id from the label2id mapping in the model config. Setting to -1. Define a descriptive label2id mapping in the model config to ensure correct outputs.\n"
+     ]
+    }
+   ],
+   "source": [
+    "from transformers import pipeline\n",
+    "\n",
+    "# Load the model and create a pipeline for zero-shot classification\n",
+    "classifier = pipeline(\"zero-shot-classification\", model=\"facebook/bart-base\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "4682d620-c9a6-40ad-ab4c-268ee0ef7212",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Asking to truncate to max_length but no maximum length is provided and the model has no predefined maximum length. Default to no truncation.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'sequence': 'I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.', 'labels': ['Travel-sized toiletries', 'Refillable water bottle', 'Aloe vera gel', 'Snorkel gear', 'Waterproof phone case', 'Packable rain jacket', 'Reusable shopping bags', 'Reusable coffee mug', 'Reusable water bottle', 'First aid kit', 'Travel insurance documents', 'Work ID badge', 'Lightweight backpack', 'Presentation materials', 'Flip-flops', 'Charging cables', 'Hiking boots', 'Comfortable shoes', 'Fanny pack', 'Trekking poles', 'Visa documents', 'Baby wipes', 'Quick-dry towel', 'Baby blanket', 'Hostel lock', 'Blanket', 'Business attire', 'Laptop', 'Beanie', 'Bug spray', 'Travel pillow', 'Baby clothes', 'Passport', 'Earplugs', 'Camping stove', 'Travel journal', 'Emergency roadside kit', 'Baby food', 'Pen', 'Bandana', 'Dress shoes', 'Snacks', 'Travel crib', 'Sunscreen', 'Ski goggles', 'Sunglasses', 'Sunglasses', 'Stroller', 'Lip balm', 'Notebook', 'Glow sticks', 'Cooler', 'Snowboard', 'Map', 'Thermal clothing', 'Neck wallet', 'Water filter', 'Travel adapter', 'Currency', 'Nursing cover', 'Snow boots', 'Pacifier', 'Sleeping bag', 'Car charger', 'Diapers', 'Flashlight', 'Ski jacket', 'Portable charger', 'Playlist', 'Swimsuit', 'Tent', 'Tent', 'SIM card', 'Compass', 'Multi-tool', 'Hat', 'Base layers', 'Energy bars', 'Toys', 'Power bank', 'Dry bag', 'Beach towel', 'Beach bag', 'Poncho', 'Headphones', 'Gloves', 'Festival tickets', 'Hand warmers', 'Language phrasebook'], 'scores': [0.014162097126245499, 0.013634984381496906, 0.013528786599636078, 0.013522890396416187, 0.013521893881261349, 0.013390542939305305, 0.013313423842191696, 0.01292099617421627, 0.01269496325403452, 0.01249685138463974, 0.012418625876307487, 0.012351310811936855, 0.012286719866096973, 0.012170663103461266, 0.01216645073145628, 0.012136084027588367, 0.012111806310713291, 0.01203493494540453, 0.011913969181478024, 0.011860690079629421, 0.01184084452688694, 0.011729727499186993, 0.0116303451359272, 0.011585962027311325, 0.011557267978787422, 0.011486714705824852, 0.011480122804641724, 0.011266479268670082, 0.011243777349591255, 0.011239712126553059, 0.011195540428161621, 0.011194570921361446, 0.01118150819092989, 0.011168110184371471, 0.011141857132315636, 0.01114004384726286, 0.011128030717372894, 0.0110848443582654, 0.01107991486787796, 0.01107126846909523, 0.011069754138588905, 0.011015287600457668, 0.01101327408105135, 0.010999458841979504, 0.010981021448969841, 0.010975920595228672, 0.010975920595228672, 0.010966054163873196, 0.010964509099721909, 0.01093060988932848, 0.010892837308347225, 0.010852692648768425, 0.010844447650015354, 0.010827522724866867, 0.010805405676364899, 0.010789167135953903, 0.010784591548144817, 0.010779209434986115, 0.010761956684291363, 0.010743752121925354, 0.010727204382419586, 0.010722712613642216, 0.010696588084101677, 0.01069594919681549, 0.010669016279280186, 0.010664715431630611, 0.010641842149198055, 0.01063066441565752, 0.010608346201479435, 0.010583184659481049, 0.010549037717282772, 0.010549037717282772, 0.010522513650357723, 0.010509520769119263, 0.010469724424183369, 0.010431424714624882, 0.010407780297100544, 0.010376540012657642, 0.01036670058965683, 0.010329049080610275, 0.010298855602741241, 0.01027328334748745, 0.010225902311503887, 0.010063442401587963, 0.01005304791033268, 0.010049044154584408, 0.009841262362897396, 0.009678435511887074, 0.009306504391133785]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "input_text = \"I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.\"\n",
+    "\n",
+    "# Candidate labels\n",
+    "candidate_labels = [\n",
+    "    \"Swimsuit\", \"Sunscreen\", \"Flip-flops\", \"Beach towel\", \"Sunglasses\", \n",
+    "    \"Waterproof phone case\", \"Hat\", \"Beach bag\", \"Snorkel gear\", \"Aloe vera gel\",\n",
+    "    \"Tent\", \"Sleeping bag\", \"Camping stove\", \"Flashlight\", \"Hiking boots\",\n",
+    "    \"Water filter\", \"Compass\", \"First aid kit\", \"Bug spray\", \"Multi-tool\",\n",
+    "    \"Thermal clothing\", \"Ski jacket\", \"Ski goggles\", \"Snow boots\", \"Gloves\",\n",
+    "    \"Hand warmers\", \"Beanie\", \"Lip balm\", \"Snowboard\", \"Base layers\",\n",
+    "    \"Passport\", \"Visa documents\", \"Travel adapter\", \"Currency\", \"Language phrasebook\",\n",
+    "    \"SIM card\", \"Travel pillow\", \"Neck wallet\", \"Travel insurance documents\", \"Power bank\",\n",
+    "    \"Laptop\", \"Notebook\", \"Business attire\", \"Dress shoes\", \"Charging cables\",\n",
+    "    \"Presentation materials\", \"Work ID badge\", \"Pen\", \"Headphones\", \n",
+    "    \"Lightweight backpack\", \"Travel-sized toiletries\", \"Packable rain jacket\",\n",
+    "    \"Reusable water bottle\", \"Dry bag\", \"Trekking poles\", \"Hostel lock\", \"Quick-dry towel\",\n",
+    "    \"Travel journal\", \"Energy bars\", \"Car charger\", \"Snacks\", \"Map\",\n",
+    "    \"Sunglasses\", \"Cooler\", \"Blanket\", \"Emergency roadside kit\", \"Reusable coffee mug\",\n",
+    "    \"Playlist\", \"Reusable shopping bags\", \"Earplugs\", \"Fanny pack\", \"Portable charger\",\n",
+    "    \"Poncho\", \"Bandana\", \"Comfortable shoes\", \"Tent\", \"Refillable water bottle\",\n",
+    "    \"Glow sticks\", \"Festival tickets\", \"Diapers\", \"Baby wipes\", \"Baby food\",\n",
+    "    \"Stroller\", \"Pacifier\", \"Baby clothes\", \"Baby blanket\", \"Travel crib\",\n",
+    "    \"Toys\", \"Nursing cover\"\n",
+    "]\n",
+    "\n",
+    "\n",
+    "# Run the classification\n",
+    "result = classifier(input_text, candidate_labels)\n",
+    "\n",
+    "# Print the result\n",
+    "print(result)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a344a80f-7645-4c2c-b960-580aa0b345f6",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5eb705d6-c31c-406c-9739-ff45b66c7ca4",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "ee734de6-bbcb-427d-8987-ab41286f7907",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Example text to classify\n",
+    "text = \"I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july.\"\n",
+    "\n",
+    "# No prompt\n",
+    "no_prompt = text\n",
+    "no_result = classifier(no_prompt, candidate_labels)\n",
+    "\n",
+    "\n",
+    "# Simple prompt\n",
+    "simple_prompt = \"Classify the following text: \" + text\n",
+    "simple_result = classifier(simple_prompt, candidate_labels)\n",
+    "\n",
+    "# Primed prompt\n",
+    "primed_prompt = \"I like to cycle and I burn easily. I also love culture and like to post on social media about my food. I will go on a trip to italy in july. What are the most important things to pack for the trip?\"\n",
+    "primed_result = classifier(primed_prompt, candidate_labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "96deb877-b3b0-4048-9960-d8b0b0d56cd0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| no_prompt                  |   no_prompt | simple_prompt              |   simple_prompt | primed_prompt              |   primed_prompt |\n",
+      "+============================+=============+============================+=================+============================+=================+\n",
+      "| Travel-sized toiletries    |  0.0141621  | Beanie                     |      0.0126489  | First aid kit              |      0.0126422  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Refillable water bottle    |  0.013635   | Baby wipes                 |      0.0125994  | Work ID badge              |      0.0125781  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Aloe vera gel              |  0.0135288  | Bandana                    |      0.0125701  | Travel insurance documents |      0.0125387  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Snorkel gear               |  0.0135229  | Blanket                    |      0.0125266  | Business attire            |      0.0124256  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Waterproof phone case      |  0.0135219  | Sunglasses                 |      0.0123896  | Baby wipes                 |      0.012401   |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Packable rain jacket       |  0.0133905  | Sunglasses                 |      0.0123896  | Blanket                    |      0.0122619  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Reusable shopping bags     |  0.0133134  | Laptop                     |      0.0123645  | Lightweight backpack       |      0.0122291  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Reusable coffee mug        |  0.012921   | Snacks                     |      0.0123038  | Sunglasses                 |      0.0121536  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Reusable water bottle      |  0.012695   | Sunscreen                  |      0.0122985  | Sunglasses                 |      0.0121536  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| First aid kit              |  0.0124969  | Pen                        |      0.0122703  | Laptop                     |      0.0121034  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Travel insurance documents |  0.0124186  | Cooler                     |      0.0122299  | Passport                   |      0.0121023  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Work ID badge              |  0.0123513  | Snowboard                  |      0.012205   | Beanie                     |      0.0120397  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Lightweight backpack       |  0.0122867  | Passport                   |      0.0121188  | Baby clothes               |      0.0120325  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Presentation materials     |  0.0121707  | Visa documents             |      0.0121176  | Snacks                     |      0.0119757  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Flip-flops                 |  0.0121665  | Swimsuit                   |      0.0120711  | Packable rain jacket       |      0.011946   |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Charging cables            |  0.0121361  | Flashlight                 |      0.0120105  | Baby food                  |      0.0119228  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Hiking boots               |  0.0121118  | Stroller                   |      0.0119368  | Baby blanket               |      0.0118852  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Comfortable shoes          |  0.0120349  | Map                        |      0.01193    | Dress shoes                |      0.0118458  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Fanny pack                 |  0.011914   | First aid kit              |      0.0119121  | Bug spray                  |      0.0118403  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Trekking poles             |  0.0118607  | Notebook                   |      0.0118809  | Travel journal             |      0.0118067  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Visa documents             |  0.0118408  | Hat                        |      0.011833   | Travel pillow              |      0.0118006  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Baby wipes                 |  0.0117297  | Currency                   |      0.0118279  | Visa documents             |      0.0117734  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Quick-dry towel            |  0.0116303  | Work ID badge              |      0.0117867  | Emergency roadside kit     |      0.0117412  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Baby blanket               |  0.011586   | Travel insurance documents |      0.01168    | SIM card                   |      0.0117407  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Hostel lock                |  0.0115573  | Business attire            |      0.0116774  | Cooler                     |      0.0117317  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Blanket                    |  0.0114867  | Compass                    |      0.0116575  | Snowboard                  |      0.0117232  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Business attire            |  0.0114801  | Playlist                   |      0.0116254  | Diapers                    |      0.0117056  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Laptop                     |  0.0112665  | Bug spray                  |      0.0115941  | Notebook                   |      0.011676   |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Beanie                     |  0.0112438  | Tent                       |      0.0115531  | Bandana                    |      0.0116441  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Bug spray                  |  0.0112397  | Tent                       |      0.0115531  | Pen                        |      0.011614   |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Travel pillow              |  0.0111955  | Diapers                    |      0.0115231  | Flashlight                 |      0.011587   |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Baby clothes               |  0.0111946  | Travel journal             |      0.0114808  | Playlist                   |      0.0115787  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Passport                   |  0.0111815  | Hiking boots               |      0.0114734  | Sunscreen                  |      0.0115577  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Earplugs                   |  0.0111681  | Reusable shopping bags     |      0.0114722  | Swimsuit                   |      0.0115468  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Camping stove              |  0.0111419  | SIM card                   |      0.0114319  | Reusable coffee mug        |      0.0115091  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Travel journal             |  0.01114    | Toys                       |      0.0114257  | Trekking poles             |      0.011476   |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Emergency roadside kit     |  0.011128   | Dress shoes                |      0.0113439  | Sleeping bag               |      0.0114472  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Baby food                  |  0.0110848  | Waterproof phone case      |      0.0113438  | Hiking boots               |      0.0114388  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Pen                        |  0.0110799  | Travel pillow              |      0.0113271  | Snorkel gear               |      0.0114219  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Bandana                    |  0.0110713  | Refillable water bottle    |      0.0113269  | Reusable shopping bags     |      0.0113664  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Dress shoes                |  0.0110698  | Fanny pack                 |      0.0113193  | Portable charger           |      0.0113632  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Snacks                     |  0.0110153  | Baby blanket               |      0.0113175  | Fanny pack                 |      0.011333   |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Travel crib                |  0.0110133  | Aloe vera gel              |      0.0113123  | Headphones                 |      0.0113156  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Sunscreen                  |  0.0109995  | Snorkel gear               |      0.011283   | Currency                   |      0.0112893  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Ski goggles                |  0.010981   | Pacifier                   |      0.0112826  | Travel adapter             |      0.0112652  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Sunglasses                 |  0.0109759  | Headphones                 |      0.0112543  | Travel crib                |      0.011224   |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Sunglasses                 |  0.0109759  | Packable rain jacket       |      0.0112416  | Presentation materials     |      0.0112228  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Stroller                   |  0.0109661  | Poncho                     |      0.0112411  | Waterproof phone case      |      0.0112181  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Lip balm                   |  0.0109645  | Nursing cover              |      0.0112323  | Nursing cover              |      0.0111811  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Notebook                   |  0.0109306  | Comfortable shoes          |      0.0112138  | Beach bag                  |      0.0111739  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Glow sticks                |  0.0108928  | Reusable coffee mug        |      0.0112081  | Stroller                   |      0.0111447  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Cooler                     |  0.0108527  | Travel crib                |      0.0111724  | Car charger                |      0.0110935  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Snowboard                  |  0.0108444  | Baby clothes               |      0.0111683  | Neck wallet                |      0.0110586  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Map                        |  0.0108275  | Presentation materials     |      0.0111555  | Lip balm                   |      0.0110534  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Thermal clothing           |  0.0108054  | Baby food                  |      0.0111165  | Comfortable shoes          |      0.0110398  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Neck wallet                |  0.0107892  | Sleeping bag               |      0.0110978  | Poncho                     |      0.0109919  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Water filter               |  0.0107846  | Lightweight backpack       |      0.011038   | Reusable water bottle      |      0.0109792  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Travel adapter             |  0.0107792  | Gloves                     |      0.010946   | Energy bars                |      0.0109684  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Currency                   |  0.010762   | Portable charger           |      0.0108962  | Map                        |      0.0109623  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Nursing cover              |  0.0107438  | Trekking poles             |      0.0108781  | Hostel lock                |      0.0109603  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Snow boots                 |  0.0107272  | Charging cables            |      0.0108504  | Power bank                 |      0.0109483  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Pacifier                   |  0.0107227  | Reusable water bottle      |      0.0108255  | Thermal clothing           |      0.0109311  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Sleeping bag               |  0.0106966  | Neck wallet                |      0.0108161  | Earplugs                   |      0.0109061  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Car charger                |  0.0106959  | Beach bag                  |      0.0108042  | Charging cables            |      0.0108819  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Diapers                    |  0.010669   | Travel-sized toiletries    |      0.0107921  | Toys                       |      0.0108427  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Flashlight                 |  0.0106647  | Travel adapter             |      0.0107415  | Ski jacket                 |      0.0108272  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Ski jacket                 |  0.0106418  | Hostel lock                |      0.0106021  | Base layers                |      0.0107343  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Portable charger           |  0.0106307  | Thermal clothing           |      0.0105911  | Glow sticks                |      0.0106845  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Playlist                   |  0.0106083  | Car charger                |      0.0105783  | Beach towel                |      0.010634   |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Swimsuit                   |  0.0105832  | Ski goggles                |      0.0105752  | Water filter               |      0.0106173  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Tent                       |  0.010549   | Ski jacket                 |      0.0105524  | Festival tickets           |      0.0106124  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Tent                       |  0.010549   | Water filter               |      0.010523   | Dry bag                    |      0.0105999  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| SIM card                   |  0.0105225  | Festival tickets           |      0.0105077  | Hat                        |      0.010555   |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Compass                    |  0.0105095  | Dry bag                    |      0.0104999  | Tent                       |      0.0105432  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Multi-tool                 |  0.0104697  | Glow sticks                |      0.0104861  | Tent                       |      0.0105432  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Hat                        |  0.0104314  | Beach towel                |      0.0104595  | Refillable water bottle    |      0.0105226  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Base layers                |  0.0104078  | Earplugs                   |      0.0104484  | Language phrasebook        |      0.0104878  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Energy bars                |  0.0103765  | Emergency roadside kit     |      0.01042    | Aloe vera gel              |      0.0104495  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Toys                       |  0.0103667  | Energy bars                |      0.010328   | Compass                    |      0.0102844  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Power bank                 |  0.010329   | Flip-flops                 |      0.010279   | Pacifier                   |      0.0102553  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Dry bag                    |  0.0102989  | Power bank                 |      0.0102667  | Flip-flops                 |      0.0102396  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Beach towel                |  0.0102733  | Base layers                |      0.0102346  | Ski goggles                |      0.010229   |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Beach bag                  |  0.0102259  | Multi-tool                 |      0.0101584  | Multi-tool                 |      0.0100441  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Poncho                     |  0.0100634  | Lip balm                   |      0.0101392  | Gloves                     |      0.0100095  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Headphones                 |  0.010053   | Snow boots                 |      0.0101161  | Hand warmers               |      0.00999101 |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Gloves                     |  0.010049   | Camping stove              |      0.00999308 | Camping stove              |      0.00982307 |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Festival tickets           |  0.00984126 | Language phrasebook        |      0.00958238 | Travel-sized toiletries    |      0.0097547  |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Hand warmers               |  0.00967844 | Quick-dry towel            |      0.00957849 | Snow boots                 |      0.00964112 |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n",
+      "| Language phrasebook        |  0.0093065  | Hand warmers               |      0.00916433 | Quick-dry towel            |      0.00960495 |\n",
+      "+----------------------------+-------------+----------------------------+-----------------+----------------------------+-----------------+\n"
+     ]
+    }
+   ],
+   "source": [
+    "from tabulate import tabulate\n",
+    "\n",
+    "\n",
+    "# Creating a table\n",
+    "table = zip(no_result[\"labels\"], no_result[\"scores\"], \n",
+    "            simple_result[\"labels\"], simple_result[\"scores\"], \n",
+    "            primed_result[\"labels\"], primed_result[\"scores\"])\n",
+    "headers = [\"no_prompt\", \"no_prompt\", \"simple_prompt\", \"simple_prompt\", \"primed_prompt\", \"primed_prompt\"]\n",
+    "\n",
+    "print(tabulate(table, headers=headers, tablefmt=\"grid\"))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5ed9bda0-41f2-4c7c-b055-27c1998c1d4e",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python (huggingface_env)",
+   "language": "python",
+   "name": "huggingface_env"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.20"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

space/space/space/space/space/space/space/space/space/space/.gitattributes

@@ -0,0 +1,35 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

space/space/space/space/space/space/space/space/space/space/README.md

@@ -0,0 +1,14 @@
+---
+title: Packing List
+emoji: 📚
+colorFrom: yellow
+colorTo: red
+sdk: gradio
+sdk_version: 5.20.1
+app_file: app.py
+pinned: false
+license: mit
+short_description: Receives a trip description and returns a packing list
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

space/space/space/space/space/test_data.json

@@ -0,0 +1,22 @@
+{
+    "7-Day Island Beach Holiday in Greece (Summer). I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.": [
+        "bathing suit", "beach towel", "beach bag",  "sandals", "comfortable walking shoes", "light jacket",  "sunscreen", "sunglasses", "sunhat",  "entertainment for downtime (e.g. book/ebook, games, laptop, journal)",  "short pants/skirts", "t-shirts/tops"  
+    ],
+    "3-Day City Trip to Vienna (September). We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.": [
+        "light rain jacket", "comfortable walking shoes", "thin scarf",  
+"1 pants", "2 shirts", "1 cardigan/sweater" 
+    ],
+    "8-Day Christmas Trip to Family in the Netherlands and Germany. My partner and I are traveling to the Netherlands and Germany to spend Christmas with our family. We are in our late twenties and will start our journey with a two-hour flight to the Netherlands. From there, we will take a 5.5-hour train ride to northern Germany.": [
+        "light rain jacket", "midlayer insulated jacket", "scarf", "hat", "winter shoes",  "2 pants", "5 shirts", "2-3 cardigan/sweater",  "gifts",  "entertainment for downtime (e.g. book/ebook, games, laptop, journal)"  
+
+    ],
+    "3-Week Adventure in Peru. I’m in my twenties and will be traveling to Peru for three weeks. I’m going solo but will meet up with a friend to explore the Sacred Valley and take part in a Machu Picchu tour. We plan to hike, go rafting, and explore the remnants of the ancient Inca Empire. We’re also excited to try Peruvian cuisine and immerse ourselves in the local culture. Depending on our plans, we might also visit the rainforest region, such as Tarapoto. I’ll be flying to Peru on a long-haul flight and will be traveling in August.": [
+        "light rain jacket", "2 midlayer insulated jackets", "hiking shoes", "comfortable walking shoes", "warm socks", "2-3 cardigans/sweaters", "6 shirts", "3 long pants", "2 short pants", "swimming suit", "travel towel", "malaria medication", "mosquito repellant", "sunscreen", "sunglasses", "sunhat", "local currency"
+
+    ],
+    "We’re planning a 10-day trip to Austria in the summer, combining hiking with relaxation by the lake. We love exploring scenic trails and enjoying the outdoors, but we also want to unwind and swim in the lake. It’s the perfect mix of adventure and relaxation.": [
+        "swimming suit", "travel towel", "sunprotection: sunscreen", "sunhat", "sunglasses", "downtime entertainment (e.g. book/ebook, games, laptop, journal)",  
+"7 shirts", "3 pants", "light rain jacket", "light jacket", "hiking shoes", "comfortable walking shoes"  
+
+    ]
+}

space/space/space/test_data.json

@@ -1,22 +1,55 @@
-{
-    "7-Day Island Beach Holiday in Greece (Summer). I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.": [
-        "bathing suit", "beach towel", "beach bag",  "sandals", "comfortable walking shoes", "light jacket",  "sunscreen", "sunglasses", "sunhat",  "entertainment for downtime (e.g. book/ebook, games, laptop, journal)",  "short pants/skirts", "t-shirts/tops"  
-    ],
-    "3-Day City Trip to Vienna (September). We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.": [
-        "light rain jacket", "comfortable walking shoes", "thin scarf",  
-"1 pants", "2 shirts", "1 cardigan/sweater" 
-    ],
-    "8-Day Christmas Trip to Family in the Netherlands and Germany. My partner and I are traveling to the Netherlands and Germany to spend Christmas with our family. We are in our late twenties and will start our journey with a two-hour flight to the Netherlands. From there, we will take a 5.5-hour train ride to northern Germany.": [
-        "light rain jacket", "midlayer insulated jacket", "scarf", "hat", "winter shoes",  "2 pants", "5 shirts", "2-3 cardigan/sweater",  "gifts",  "entertainment for downtime (e.g. book/ebook, games, laptop, journal)"  
-
-    ],
-    "3-Week Adventure in Peru. I’m in my twenties and will be traveling to Peru for three weeks. I’m going solo but will meet up with a friend to explore the Sacred Valley and take part in a Machu Picchu tour. We plan to hike, go rafting, and explore the remnants of the ancient Inca Empire. We’re also excited to try Peruvian cuisine and immerse ourselves in the local culture. Depending on our plans, we might also visit the rainforest region, such as Tarapoto. I’ll be flying to Peru on a long-haul flight and will be traveling in August.": [
-        "light rain jacket", "2 midlayer insulated jackets", "hiking shoes", "comfortable walking shoes", "warm socks", "2-3 cardigans/sweaters", "6 shirts", "3 long pants", "2 short pants", "swimming suit", "travel towel", "malaria medication", "mosquito repellant", "sunscreen", "sunglasses", "sunhat", "local currency"
-
-    ],
-    "We’re planning a 10-day trip to Austria in the summer, combining hiking with relaxation by the lake. We love exploring scenic trails and enjoying the outdoors, but we also want to unwind and swim in the lake. It’s the perfect mix of adventure and relaxation.": [
-        "swimming suit", "travel towel", "sunprotection: sunscreen", "sunhat", "sunglasses", "downtime entertainment (e.g. book/ebook, games, laptop, journal)",  
-"7 shirts", "3 pants", "light rain jacket", "light jacket", "hiking shoes", "comfortable walking shoes"  
-
-    ]
-}
+[
+    {
+        "description": "I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.",
+        "trip_types": ["beach vacation", ["swimming", "going to the beach", "relaxing", "hiking"], 
+                       "warm destination / summer", "lightweight (but comfortable)", "casual", 
+                       "indoor", "no vehicle", "no special conditions", "7 days"],
+        "packing_list": [
+            "bathing suit", "beach towel", "beach bag", "sandals", "comfortable walking shoes",
+            "light jacket", "sunscreen", "sunglasses", "sunhat",
+            "entertainment for downtime (e.g. book/ebook, games, laptop, journal)",
+            "short pants/skirts", "t-shirts/tops"
+        ]
+    },
+    {
+        "description": "We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.",
+        "trip_types": ["city trip", "sightseeing", "variable weather / spring / autumn", 
+                       "luxury (including evening wear)", "casual", "indoor", "no vehicle", 
+                       "no special condition", "3 days"],
+        "packing_list": [
+            "light rain jacket", "comfortable walking shoes", "thin scarf",
+            "1 pants", "2 shirts", "1 cardigan/sweater"
+        ]
+    },
+    {
+        "description": "My partner and I are traveling to the Netherlands and Germany to spend Christmas with our family. We are in our late twenties and will start our journey with a two-hour flight to the Netherlands. From there, we will take a 5.5-hour train ride to northern Germany.",
+        "trip_types": ["city trip", "relaxing", "cold destination / winter", "lightweight (but comfortable)", 
+                       "casual", "indoor", "no vehicle", "no special condition", "7+ days"],
+        "packing_list": [
+            "light rain jacket", "midlayer insulated jacket", "scarf", "hat", "winter shoes",
+            "2 pants", "5 shirts", "2-3 cardigans/sweaters", "gifts",
+            "entertainment for downtime (e.g. book/ebook, games, laptop, journal)"
+        ]
+    },
+    {
+        "description": "I’m in my twenties and will be traveling to Peru for three weeks. I’m going solo but will meet up with a friend to explore the Sacred Valley and take part in a Machu Picchu tour. We plan to hike, go rafting, and explore the remnants of the ancient Inca Empire. We’re also excited to try Peruvian cuisine and immerse ourselves in the local culture. Depending on our plans, we might also visit the rainforest region, such as Tarapoto. I’ll be flying to Peru on a long-haul flight and will be traveling in August.",
+        "trip_types": ["cultural exploration", "sightseeing", "hiking", "rafting", "variable weather / spring / autumn", 
+                       "lightweight (but comfortable)", "casual", "indoor", "no vehicle", "rainy climate", "7+ days"],
+        "packing_list": [
+            "light rain jacket", "2 midlayer insulated jackets", "hiking shoes", "comfortable walking shoes",
+            "warm socks", "2-3 cardigans/sweaters", "6 shirts", "3 long pants", "2 short pants",
+            "swimming suit", "travel towel", "malaria medication", "mosquito repellant",
+            "sunscreen", "sunglasses", "sunhat", "local currency"
+        ]
+    },
+    {
+        "description": "We’re planning a 10-day trip to Austria in the summer, combining hiking with relaxation by the lake. We love exploring scenic trails and enjoying the outdoors, but we also want to unwind and swim in the lake. It’s the perfect mix of adventure and relaxation.",
+        "trip_types": ["nature escape", "swimming", "relaxing", "hiking", "warm destination / summer", 
+                       "lightweight (but comfortable)", "casual", "indoor", "no vehicle", "no special conditions", "7+ days"],
+        "packing_list": [
+            "swimming suit", "travel towel", "sunprotection: sunscreen", "sunhat", "sunglasses",
+            "downtime entertainment (e.g. book/ebook, games, laptop, journal)",
+            "7 shirts", "3 pants", "light rain jacket", "light jacket", "hiking shoes", "comfortable walking shoes"
+        ]
+    }
+]

space/space/test_data.json

@@ -13,7 +13,7 @@
     },
     {
         "description": "We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.",
-        "trip_types": ["city trip", "sightseeing", "variable weather / spring / autumn", 
+        "trip_types": ["city trip", ["sightseeing"], "variable weather / spring / autumn", 
                        "luxury (including evening wear)", "casual", "indoor", "no vehicle", 
                        "no special condition", "3 days"],
         "packing_list": [
@@ -23,7 +23,7 @@
     },
     {
         "description": "My partner and I are traveling to the Netherlands and Germany to spend Christmas with our family. We are in our late twenties and will start our journey with a two-hour flight to the Netherlands. From there, we will take a 5.5-hour train ride to northern Germany.",
-        "trip_types": ["city trip", "relaxing", "cold destination / winter", "lightweight (but comfortable)", 
+        "trip_types": ["city trip", ["relaxing"], "cold destination / winter", "lightweight (but comfortable)", 
                        "casual", "indoor", "no vehicle", "no special condition", "7+ days"],
         "packing_list": [
             "light rain jacket", "midlayer insulated jacket", "scarf", "hat", "winter shoes",
@@ -33,7 +33,7 @@
     },
     {
         "description": "I’m in my twenties and will be traveling to Peru for three weeks. I’m going solo but will meet up with a friend to explore the Sacred Valley and take part in a Machu Picchu tour. We plan to hike, go rafting, and explore the remnants of the ancient Inca Empire. We’re also excited to try Peruvian cuisine and immerse ourselves in the local culture. Depending on our plans, we might also visit the rainforest region, such as Tarapoto. I’ll be flying to Peru on a long-haul flight and will be traveling in August.",
-        "trip_types": ["cultural exploration", "sightseeing", "hiking", "rafting", "variable weather / spring / autumn", 
+        "trip_types": ["cultural exploration", ["sightseeing", "hiking", "rafting"], "variable weather / spring / autumn", 
                        "lightweight (but comfortable)", "casual", "indoor", "no vehicle", "rainy climate", "7+ days"],
         "packing_list": [
             "light rain jacket", "2 midlayer insulated jackets", "hiking shoes", "comfortable walking shoes",
@@ -44,12 +44,87 @@
     },
     {
         "description": "We’re planning a 10-day trip to Austria in the summer, combining hiking with relaxation by the lake. We love exploring scenic trails and enjoying the outdoors, but we also want to unwind and swim in the lake. It’s the perfect mix of adventure and relaxation.",
-        "trip_types": ["nature escape", "swimming", "relaxing", "hiking", "warm destination / summer", 
+        "trip_types": ["nature escape", ["swimming", "relaxing", "hiking"], "warm destination / summer", 
                        "lightweight (but comfortable)", "casual", "indoor", "no vehicle", "no special conditions", "7+ days"],
         "packing_list": [
             "swimming suit", "travel towel", "sunprotection: sunscreen", "sunhat", "sunglasses",
             "downtime entertainment (e.g. book/ebook, games, laptop, journal)",
             "7 shirts", "3 pants", "light rain jacket", "light jacket", "hiking shoes", "comfortable walking shoes"
         ]
+    },
+    {
+        "description": "I am going on a multiple day hike and passing though mountains and the beach in Croatia. I like to pack light and will stay in refugios/huts with half board and travel to the start of the hike by car. It will be 6-7 days.",
+        "trip_types": [
+            "long-distance hike / thru-hike",
+            ["going to the beach"],
+            "tropical / humid",
+            "minimalist",
+            "casual",
+            "huts with half board",
+            "vehicle",
+            "off-grid / no electricity",
+            "6 days"
+        ],
+        "packing_list": ["lichtgewicht rugzak", "waterfilter", "voedselvoorraad", "navigatie (kaart/kompas/GPS)", "zonnebril"]
+    },
+    {
+        "description": "I will go with a friend on a beach holiday and we will do stand-up paddling, and surfing in the North of Spain. The destination is windy and can get cold, but is generally sunny. We will go by car and bring a tent to sleep in. It will be two weeks.",
+        "trip_types": [
+            "beach vacation",
+            ["stand-up paddleboarding (SUP)", "surfing"],
+            "cold destination / winter",
+            "ultralight",
+            "casual",
+            "sleeping in a tent",
+            "vehicle",
+            "off-grid / no electricity",
+            "6 days"
+        ],
+        "packing_list": ["zwemkleding", "wetsuit", "tent", "strandlaken", "zonnebrandcrème", "zonnebril", "hoed of pet"]
+    },
+    {
+        "description": "We will go to Sweden in the winter, to go for a yoga and sauna/wellness retreat. I prefer lightweight packing and also want clothes to go for fancy dinners and maybe on a winter hike. We stay in hotels.",
+        "trip_types": [
+            "yoga / wellness retreat",
+            ["hut-to-hut hiking", "yoga"],
+            "cold destination / winter",
+            "lightweight (but comfortable)",
+            "formal (business trip)",
+            "sleeping in a tent",
+            "no vehicle",
+            "avalanche-prone terrain",
+            "7 days"
+        ],
+        "packing_list": ["yogamat of yogahanddoek", "comfortabele kleding", "dagboek / pen", "waterfles", "zonnebril"]
+    },
+    {
+        "description": "I go on a skitouring trip where we also make videos/photos and the destination is Japan. Mainly sports clothes and isolation are needed (it is winter). We stay in a guesthouse. It will be 10 days.",
+        "trip_types": [
+            "ski tour / skitour",
+            ["ski touring", "photography", "swimming"],
+            "cold destination / winter",
+            "minimalist",
+            "conservative",
+            "indoor",
+            "no vehicle",
+            "avalanche-prone terrain",
+            "5 days"
+        ],
+        "packing_list": ["gore-tex kleding", "comfortabele kleding", "lawinepieper", "waterfles", "zonnebril"]
+    },
+    {
+        "description": "We plan a wild camping trip with activities such as snorkeling, kayaking and canoeing. It is a warm place and we want to bring little stuff. We stay in tents and hammocks and travel with a car, it will be 3 days.",
+        "trip_types": [
+            "camping trip (wild camping)",
+            ["scuba diving", "kayaking / canoeing"],
+            "tropical / humid",
+            "lightweight (but comfortable)",
+            "conservative",
+            "sleeping in a tent",
+            "vehicle",
+            "no special conditions",
+            "3 days"
+        ],
+        "packing_list": ["tent of tarp", "slaapmat", "slaapzak", "hoofdlamp", "waterfilter"]
     }
 ]

test_data.json

@@ -3,7 +3,7 @@
         "description": "I am planning a trip to Greece with my boyfriend, where we will visit two islands. We have booked an apartment on each island for a few days and plan to spend most of our time relaxing. Our main goals are to enjoy the beach, try delicious local food, and possibly go on a hike—if it’s not too hot. We will be relying solely on public transport. We’re in our late 20s and traveling from the Netherlands.",
         "trip_types": ["beach vacation", ["swimming", "going to the beach", "relaxing", "hiking"], 
                        "warm destination / summer", "lightweight (but comfortable)", "casual", 
-                       "indoor", "no vehicle", "no special conditions", "7 days"],
+                       "indoor", "no own vehicle", "no special conditions", "7+ days"],
         "packing_list": [
             "bathing suit", "beach towel", "beach bag", "sandals", "comfortable walking shoes",
             "light jacket", "sunscreen", "sunglasses", "sunhat",
@@ -14,7 +14,7 @@
     {
         "description": "We are a couple in our thirties traveling to Vienna for a three-day city trip. We’ll be staying at a friend’s house and plan to explore the city by sightseeing, strolling through the streets, visiting markets, and trying out great restaurants and cafés. We also hope to attend a classical music concert. Our journey to Vienna will be by train.",
         "trip_types": ["city trip", ["sightseeing"], "variable weather / spring / autumn", 
-                       "luxury (including evening wear)", "casual", "indoor", "no vehicle", 
+                       "luxury (including evening wear)", "casual", "indoor", "no own vehicle", 
                        "no special condition", "3 days"],
         "packing_list": [
             "light rain jacket", "comfortable walking shoes", "thin scarf",
@@ -24,7 +24,7 @@
     {
         "description": "My partner and I are traveling to the Netherlands and Germany to spend Christmas with our family. We are in our late twenties and will start our journey with a two-hour flight to the Netherlands. From there, we will take a 5.5-hour train ride to northern Germany.",
         "trip_types": ["city trip", ["relaxing"], "cold destination / winter", "lightweight (but comfortable)", 
-                       "casual", "indoor", "no vehicle", "no special condition", "7+ days"],
+                       "casual", "indoor", "no own vehicle", "no special condition", "7+ days"],
         "packing_list": [
             "light rain jacket", "midlayer insulated jacket", "scarf", "hat", "winter shoes",
             "2 pants", "5 shirts", "2-3 cardigans/sweaters", "gifts",
@@ -34,7 +34,7 @@
     {
         "description": "I’m in my twenties and will be traveling to Peru for three weeks. I’m going solo but will meet up with a friend to explore the Sacred Valley and take part in a Machu Picchu tour. We plan to hike, go rafting, and explore the remnants of the ancient Inca Empire. We’re also excited to try Peruvian cuisine and immerse ourselves in the local culture. Depending on our plans, we might also visit the rainforest region, such as Tarapoto. I’ll be flying to Peru on a long-haul flight and will be traveling in August.",
         "trip_types": ["cultural exploration", ["sightseeing", "hiking", "rafting"], "variable weather / spring / autumn", 
-                       "lightweight (but comfortable)", "casual", "indoor", "no vehicle", "rainy climate", "7+ days"],
+                       "lightweight (but comfortable)", "casual", "indoor", "no own vehicle", "rainy climate", "7+ days"],
         "packing_list": [
             "light rain jacket", "2 midlayer insulated jackets", "hiking shoes", "comfortable walking shoes",
             "warm socks", "2-3 cardigans/sweaters", "6 shirts", "3 long pants", "2 short pants",
@@ -45,7 +45,7 @@
     {
         "description": "We’re planning a 10-day trip to Austria in the summer, combining hiking with relaxation by the lake. We love exploring scenic trails and enjoying the outdoors, but we also want to unwind and swim in the lake. It’s the perfect mix of adventure and relaxation.",
         "trip_types": ["nature escape", ["swimming", "relaxing", "hiking"], "warm destination / summer", 
-                       "lightweight (but comfortable)", "casual", "indoor", "no vehicle", "no special conditions", "7+ days"],
+                       "lightweight (but comfortable)", "casual", "indoor", "no own vehicle", "no special conditions", "7+ days"],
         "packing_list": [
             "swimming suit", "travel towel", "sunprotection: sunscreen", "sunhat", "sunglasses",
             "downtime entertainment (e.g. book/ebook, games, laptop, journal)",
@@ -61,7 +61,7 @@
             "minimalist",
             "casual",
             "huts with half board",
-            "vehicle",
+            "own vehicle",
             "off-grid / no electricity",
             "6 days"
         ],
@@ -76,7 +76,7 @@
             "ultralight",
             "casual",
             "sleeping in a tent",
-            "vehicle",
+            "own vehicle",
             "off-grid / no electricity",
             "6 days"
         ],
@@ -91,7 +91,7 @@
             "lightweight (but comfortable)",
             "formal (business trip)",
             "sleeping in a tent",
-            "no vehicle",
+            "no own vehicle",
             "avalanche-prone terrain",
             "7 days"
         ],
@@ -106,7 +106,7 @@
             "minimalist",
             "conservative",
             "indoor",
-            "no vehicle",
+            "no own vehicle",
             "avalanche-prone terrain",
             "5 days"
         ],
@@ -121,7 +121,7 @@
             "lightweight (but comfortable)",
             "conservative",
             "sleeping in a tent",
-            "vehicle",
+            "own vehicle",
             "no special conditions",
             "3 days"
         ],