Create app.py

app.py

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+""" Chatbot
+@author: NiansuhAI
+@email: [email protected]
+"""
+import numpy as np
+import streamlit as st
+from openai import OpenAI
+import os
+import sys
+from dotenv import load_dotenv, dotenv_values
+load_dotenv()
+
+# initialize the client
+client = OpenAI(
+  base_url="https://api-inference.huggingface.co/v1",
+  api_key=os.environ.get('API_KEY')  # Replace with your token
+)
+
+# Create supported models
+model_links = {
+    "Mixtral-8x7B": "mistralai/Mixtral-8x7B-Instruct-v0.1",
+    "Meta-Llama-3-8B": "meta-llama/Meta-Llama-3-8B-Instruct",
+    "Mistral-7B-Instruct-v0.1": "mistralai/Mistral-7B-Instruct-v0.1",
+    "Mistral-7B-Instruct-v0.2": "mistralai/Mistral-7B-Instruct-v0.2",
+    "Mistral-7B-Instruct-v0.3": "mistralai/Mistral-7B-Instruct-v0.3",
+    "Gemma-7B": "google/gemma-1.1-7b-it",
+    "Gemma-2B": "google/gemma-1.1-2b-it",
+    "Zephyr-7B-β": "HuggingFaceH4/zephyr-7b-beta",
+    "Phi-3-mini": "microsoft/Phi-3-mini-4k-instruct",
+}
+
+# Random dog images for error message
+random_dog = ["0f476473-2d8b-415e-b944-483768418a95.jpg",
+              "1bd75c81-f1d7-4e55-9310-a27595fa8762.jpg",
+              "526590d2-8817-4ff0-8c62-fdcba5306d02.jpg",
+              "1326984c-39b0-492c-a773-f120d747a7e2.jpg",
+              "42a98d03-5ed7-4b3b-af89-7c4876cb14c3.jpg",
+              "8b3317ed-2083-42ac-a575-7ae45f9fdc0d.jpg",
+              "ee17f54a-83ac-44a3-8a35-e89ff7153fb4.jpg",
+              "027eef85-ccc1-4a66-8967-5d74f34c8bb4.jpg",
+              "08f5398d-7f89-47da-a5cd-1ed74967dc1f.jpg",
+              "0fd781ff-ec46-4bdc-a4e8-24f18bf07def.jpg",
+              "0fb4aeee-f949-4c7b-a6d8-05bf0736bdd1.jpg",
+              "6edac66e-c0de-4e69-a9d6-b2e6f6f9001b.jpg",
+              "bfb9e165-c643-4993-9b3a-7e73571672a6.jpg"]
+
+def reset_conversation():
+    '''
+    Resets Conversation
+    '''
+    st.session_state.conversation = []
+    st.session_state.messages = []
+    return None
+
+# Define the available models
+models = [key for key in model_links.keys()]
+
+# Create the sidebar with the dropdown for model selection
+selected_model = st.sidebar.selectbox("Select Model", models)
+
+# Create a temperature slider
+temp_values = st.sidebar.slider('Select a temperature value', 0.0, 1.0, (0.5))
+
+# Add reset button to clear conversation
+st.sidebar.button('Reset Chat', on_click=reset_conversation)  # Reset button
+
+# Create model description
+st.sidebar.write(f"You're now chatting with **{selected_model}**")
+st.sidebar.markdown("*Generated content may be inaccurate or false.*")
+
+if "prev_option" not in st.session_state:
+    st.session_state.prev_option = selected_model
+
+if st.session_state.prev_option != selected_model:
+    st.session_state.messages = []
+    st.session_state.prev_option = selected_model
+    reset_conversation()
+
+# Pull in the model we want to use
+repo_id = model_links[selected_model]
+
+st.subheader(f'AI - {selected_model}')
+
+# Initialize chat history
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# Display chat messages from history on app rerun
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+# Accept user input
+if prompt := st.chat_input(f"Hi I'm {selected_model}, ask me a question"):
+
+    # Display user message in chat message container
+    with st.chat_message("user"):
+        st.markdown(prompt)
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": prompt})
+
+    # Display assistant response in chat message container
+    with st.chat_message("assistant"):
+
+        try:
+            stream = client.chat.completions.create(
+                model=model_links[selected_model],
+                messages=[
+                    {"role": m["role"], "content": m["content"]}
+                    for m in st.session_state.messages
+                ],
+                temperature=temp_values,
+                stream=True,
+                max_tokens=3000,
+            )
+
+            response = st.write_stream(stream)
+
+        except Exception as e:
+            response = "😵‍💫 Looks like someone unplugged something!\
+                    \n Either the model space is being updated or something is down.\
+                    \n\
+                    \n Try again later. \
+                    \n\
+                    \n Here's a random pic of a 🐶:"
+            st.write(response)
+            random_dog_pick = 'https://random.dog/' + random_dog[np.random.randint(len(random_dog))]
+            st.image(random_dog_pick)
+            st.write("This was the error message:")
+            st.write(e)
+
+    st.session_state.messages.append({"role": "assistant", "content": response})