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] - } - ], - "source": [ - "!pip install transformers\n", - "!pip install sympy" - ] - }, - { - "cell_type": "code", - "source": [ - "qa = pipeline(\"question-answering\", model=\"distilbert-base-uncased-distilled-squad\")" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 195, - "referenced_widgets": [ - "c640b2a60512468e81a78e0ca10f0cf3", - "aba037a8f9b149f2a98b89f14dcc50f8", - "10ae23fe60ac4d349c1f67a2a33bf942", - "e4dd109ffb4e449ba27bab87e65e2010", - "9b87892d90dc40e1b7f9837137cbc255", - "3f4157c7bedc4921ba0e66b81f77f39d", - "649c52534dc54d83871f3231cf53f654", - "3e4b31c935c24079864a4cbfc9b3f5ac", - "5fe0a44e54714c09a2072804b5dae051", - "d295248f946548bd89aba5c607dd7dd4", - "93775760bbcf4e5ba5fe31a1d8deaece", - "9fbdbd3d0ad2478c994937acbacf5ad1", - "7c4c06c9b723429b82d8971e5dde441a", - "db939cd2a8dc4aebb0901800394d7cc9", - "6aa10da5dd774edfb66af6136cf2a355", - "95fd2c1dc3144e9aaa36e5c88efbbc82", - "b14c0caa0d3843ca885b501424400c1f", - "d07c6aa5dab54b4a828a9e4fdb07be1c", - 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"ef3cffae515e4d0bbde25da5b88ee389", - "abe4f466f0ce4ec99fa836d529d8da61", - "6424b53517ce493f8366802f469b71ef", - "45a3430f219a47e4ba733062beb6b373", - "086e0fe42d9d4af69e4d458831ba3c31", - "545076cf21ec4b0ba788a75e59408bc1", - "c57d854267d34891a924e6aa5041581b", - "ddbc0db6a8ff455c880470005991a990", - "d226ea6f2bc74494a01f2a66968b9b0f", - "6f31a7ce689e4bad8aa9f3ab586d7169" - ] - }, - "id": "DEeyMPhpm0XG", - "outputId": "ba29df0e-a53d-4ce6-aa55-243fcf29dec0" - }, - "execution_count": 6, - "outputs": [ - { - "output_type": "display_data", - "data": { - "text/plain": [ - "config.json: 0%| | 0.00/451 [00:00=2.0.0 in /usr/local/lib/python3.11/dist-packages (from wikipedia) (2.32.3)\n", - "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests<3.0.0,>=2.0.0->wikipedia) (3.4.2)\n", - "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests<3.0.0,>=2.0.0->wikipedia) (3.10)\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests<3.0.0,>=2.0.0->wikipedia) (2.4.0)\n", - 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"source": [ - "import wikipedia\n", - "\n", - "def ask_wikipedia(question):\n", - " try:\n", - " summary = wikipedia.summary(question, sentences=2)\n", - " return summary\n", - " except Exception as e:\n", - " return f\"Error: {e}\"\n", - "\n", - "# Example usage\n", - "question = \"What is Newton's first law?\"\n", - "answer = ask_wikipedia(question)\n", - "print(\"Answer:\", answer)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "vHDM4HbDqzr0", - "outputId": "cab4a88f-7360-49ec-f423-595a1f2959dc" - }, - "execution_count": 15, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Answer: Newton's laws of motion are three physical laws that describe the relationship between the motion of an object and the forces acting on it. These laws, which provide the basis for Newtonian mechanics, can be paraphrased as follows:\n", - "\n", - "A body remains at rest, or in motion at a constant speed in a straight line, unless it is acted upon by a force.\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "!sudo apt install tesseract-ocr\n", - "!pip install pytesseract\n", - "!pip install Pillow" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "Ptmb_Go-rkgR", - "outputId": "4626d3d2-840d-48ef-8aa7-0a58892381ba" - }, - "execution_count": 16, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Reading package lists... Done\n", - "Building dependency tree... Done\n", - "Reading state information... Done\n", - "tesseract-ocr is already the newest version (4.1.1-2.1build1).\n", - "0 upgraded, 0 newly installed, 0 to remove and 35 not upgraded.\n", - "Collecting pytesseract\n", - " Downloading pytesseract-0.3.13-py3-none-any.whl.metadata (11 kB)\n", - "Requirement already satisfied: packaging>=21.3 in /usr/local/lib/python3.11/dist-packages (from pytesseract) (25.0)\n", - "Requirement already satisfied: Pillow>=8.0.0 in /usr/local/lib/python3.11/dist-packages (from pytesseract) (11.2.1)\n", - "Downloading pytesseract-0.3.13-py3-none-any.whl (14 kB)\n", - "Installing collected packages: pytesseract\n", - "Successfully installed pytesseract-0.3.13\n", - "Requirement already satisfied: Pillow in /usr/local/lib/python3.11/dist-packages (11.2.1)\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Core AI + Image Libraries\n", - "!pip install transformers diffusers accelerate sentencepiece pytesseract wikipedia Pillow\n", - "\n", - "# OCR engine\n", - "!sudo apt install tesseract-ocr" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000 - }, - "id": "lrfJs5awr0Do", - "outputId": "85e2c24c-89b9-46d7-bc54-b6a898afb1f3" - }, - "execution_count": 19, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Requirement already satisfied: transformers in /usr/local/lib/python3.11/dist-packages (4.53.2)\n", - "Requirement already satisfied: diffusers in /usr/local/lib/python3.11/dist-packages (0.34.0)\n", - "Requirement already satisfied: accelerate in /usr/local/lib/python3.11/dist-packages (1.8.1)\n", - "Requirement already satisfied: sentencepiece in /usr/local/lib/python3.11/dist-packages (0.2.0)\n", - "Requirement already satisfied: pytesseract in /usr/local/lib/python3.11/dist-packages (0.3.13)\n", - "Requirement already satisfied: wikipedia in /usr/local/lib/python3.11/dist-packages (1.4.0)\n", - "Requirement already satisfied: Pillow in /usr/local/lib/python3.11/dist-packages (11.2.1)\n", - "Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from transformers) (3.18.0)\n", - 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"\u001b[?25hDownloading nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl (21.1 MB)\n", - "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.1/21.1 MB\u001b[0m \u001b[31m98.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", - "\u001b[?25hInstalling collected packages: nvidia-nvjitlink-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, nvidia-cusparse-cu12, nvidia-cudnn-cu12, nvidia-cusolver-cu12\n", - " Attempting uninstall: nvidia-nvjitlink-cu12\n", - " Found existing installation: nvidia-nvjitlink-cu12 12.5.82\n", - " Uninstalling nvidia-nvjitlink-cu12-12.5.82:\n", - " Successfully uninstalled nvidia-nvjitlink-cu12-12.5.82\n", - " Attempting uninstall: nvidia-curand-cu12\n", - " Found existing installation: nvidia-curand-cu12 10.3.6.82\n", - " Uninstalling nvidia-curand-cu12-10.3.6.82:\n", - " Successfully uninstalled nvidia-curand-cu12-10.3.6.82\n", - " Attempting uninstall: nvidia-cufft-cu12\n", - " Found existing installation: nvidia-cufft-cu12 11.2.3.61\n", - " Uninstalling nvidia-cufft-cu12-11.2.3.61:\n", - " Successfully uninstalled nvidia-cufft-cu12-11.2.3.61\n", - " Attempting uninstall: nvidia-cuda-runtime-cu12\n", - " Found existing installation: nvidia-cuda-runtime-cu12 12.5.82\n", - " Uninstalling nvidia-cuda-runtime-cu12-12.5.82:\n", - " Successfully uninstalled nvidia-cuda-runtime-cu12-12.5.82\n", - " Attempting uninstall: nvidia-cuda-nvrtc-cu12\n", - " Found existing installation: nvidia-cuda-nvrtc-cu12 12.5.82\n", - " Uninstalling nvidia-cuda-nvrtc-cu12-12.5.82:\n", - " Successfully uninstalled nvidia-cuda-nvrtc-cu12-12.5.82\n", - " Attempting uninstall: nvidia-cuda-cupti-cu12\n", - " Found existing installation: nvidia-cuda-cupti-cu12 12.5.82\n", - " Uninstalling nvidia-cuda-cupti-cu12-12.5.82:\n", - " Successfully uninstalled nvidia-cuda-cupti-cu12-12.5.82\n", - " Attempting uninstall: nvidia-cublas-cu12\n", - " Found existing installation: nvidia-cublas-cu12 12.5.3.2\n", - " Uninstalling nvidia-cublas-cu12-12.5.3.2:\n", - " Successfully uninstalled nvidia-cublas-cu12-12.5.3.2\n", - " Attempting uninstall: nvidia-cusparse-cu12\n", - " Found existing installation: nvidia-cusparse-cu12 12.5.1.3\n", - " Uninstalling nvidia-cusparse-cu12-12.5.1.3:\n", - " Successfully uninstalled nvidia-cusparse-cu12-12.5.1.3\n", - " Attempting uninstall: nvidia-cudnn-cu12\n", - " Found existing installation: nvidia-cudnn-cu12 9.3.0.75\n", - " Uninstalling nvidia-cudnn-cu12-9.3.0.75:\n", - " Successfully uninstalled nvidia-cudnn-cu12-9.3.0.75\n", - " Attempting uninstall: nvidia-cusolver-cu12\n", - " Found existing installation: nvidia-cusolver-cu12 11.6.3.83\n", - " Uninstalling nvidia-cusolver-cu12-11.6.3.83:\n", - " Successfully uninstalled nvidia-cusolver-cu12-11.6.3.83\n", - "Successfully installed nvidia-cublas-cu12-12.4.5.8 nvidia-cuda-cupti-cu12-12.4.127 nvidia-cuda-nvrtc-cu12-12.4.127 nvidia-cuda-runtime-cu12-12.4.127 nvidia-cudnn-cu12-9.1.0.70 nvidia-cufft-cu12-11.2.1.3 nvidia-curand-cu12-10.3.5.147 nvidia-cusolver-cu12-11.6.1.9 nvidia-cusparse-cu12-12.3.1.170 nvidia-nvjitlink-cu12-12.4.127\n" - ] - }, - { - "output_type": "display_data", - "data": { - "application/vnd.colab-display-data+json": { - "pip_warning": { - "packages": [ - "nvidia" - ] - }, - "id": "54034339d29c4348b7256aa89cafac9c" - } - }, - "metadata": {} - }, - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Reading package lists... Done\n", - "Building dependency tree... Done\n", - "Reading state information... Done\n", - "tesseract-ocr is already the newest version (4.1.1-2.1build1).\n", - "0 upgraded, 0 newly installed, 0 to remove and 35 not upgraded.\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "from transformers import pipeline\n", - "from PIL import Image\n", - "import pytesseract\n", - "import wikipedia\n", - "from google.colab import files\n", - "import torch" - ], - "metadata": { - "id": "6WO1HhPMsG7b" - }, - "execution_count": 1, - "outputs": [] - }, - { - "cell_type": "code", - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000, - "referenced_widgets": [ - "947e61facc4948b9a3da6c3a6706b0ba", - "3aacfcb4c5f146069fdb0f058548257d", - "7a32a89a99e444468f03df49f38d50e2", - "23b55cbf80b848f8986f1b337d7decc6", - "0eaec8d742ee40d99689c977d3dd14a0", - "d6cc95758c184fa99a9e3025ac33bbd4", - "a9c9e789ffe54fc091e50c8cbc860b55", - "e459dec07b6c4db18b38e48ae53a8b55", - "be42f87e2a1244c39643b3b30fcd69b8", - "76abde7855704268abafc921c279902d", - "77470aec537f496cbdbb95f808930126", - 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"fb015aa8292c45c5bc53cb7bfcdbf996", - "78dd4ce34f164eadb799325653530db3", - "bee60696ac2f4c8f81f12903a24f7105", - "630cb787d4234e0d9602a830e5622eac", - "8e72c3be4e834463a27ff9576cbfa70f", - "907eba40cc0b400489c30176b5df2808", - "c9825ef27eb540c587e27febcec47274", - "fb4527e9736e423f86312dc9c7acd363", - "91ee8309ae974bd7ab07407852a63e0b", - "1bd2d7e8822e41c1a842b7b0fe12fdeb", - "90dc2a04111a40f59b601b8d5dad7e95", - "c98476a07c204615ade17632d109708a", - "8a3840b8eef843bb8cb7fafbfd9eba64", - "9f911a7b56c74ebd88d493e05dc4d151", - "f9b1bc4384a7451f83a5287ffff94b3a", - "edecc6a3a66845abba0e19ec1e81a33f", - "1b342371e5f54e55824d7f24a2f8c1cb", - "a16a43f12ca64c92bd72dca24b3e43ce", - "e719c777a03e47ddb3565b36bd36f05f", - "643d1485e5064b74a582ef48b9c5da8a", - "3f2b51a8332741adba40fdc31d35a2e7", - "5925daf343364d03baf03442d6645119", - "4ccf5c0cc039412882ae02964e7eaf53", - "db6e633c798140fe9afa3193f39b968f", - "24bd7cc77da54841a990491ef65977f6" - ] - }, - "id": "60d6c4e3", - "outputId": "1a5754f2-bdcc-4dd5-9794-c58e53d7ce17" - }, - "source": [ - "from diffusers import StableDiffusionPipeline\n", - "\n", - "pipe = StableDiffusionPipeline.from_pretrained(\n", - " \"CompVis/stable-diffusion-v1-4\",\n", - " torch_dtype=torch.float16,\n", - " revision=\"fp16\"\n", - ").to(\"cuda\")\n", - "\n", - "prompt = \"a diagram of photosynthesis for school assignment\"\n", - "image = pipe(prompt).images[0]\n", - "image.save(\"generated_image.png\")\n", - "image.show()" - ], - "execution_count": 3, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n", - "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", - "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", - "You will be able to reuse this secret in all of your notebooks.\n", - "Please note that authentication is recommended but still optional to access public models or datasets.\n", - " warnings.warn(\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "model_index.json: 0%| | 0.00/543 [00:00\u001b[0;34m()\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mtorch_dtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfloat16\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mrevision\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"fp16\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m ).to(\"cuda\")\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0mprompt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"a diagram of photosynthesis for school assignment\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - "\u001b[0;32m/usr/local/lib/python3.11/dist-packages/diffusers/pipelines/pipeline_utils.py\u001b[0m in \u001b[0;36mto\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 539\u001b[0m \u001b[0mmodule\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 540\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mis_loaded_in_4bit_bnb\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mis_loaded_in_8bit_bnb\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mis_group_offloaded\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 541\u001b[0;31m \u001b[0mmodule\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdevice\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 542\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 543\u001b[0m if (\n", - "\u001b[0;32m/usr/local/lib/python3.11/dist-packages/transformers/modeling_utils.py\u001b[0m in \u001b[0;36mto\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m 4108\u001b[0m \u001b[0;34m\" `dtype` by passing the correct `torch_dtype` argument.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4109\u001b[0m )\n\u001b[0;32m-> 4110\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0msuper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 4111\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4112\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mhalf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", - 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"\u001b[0;31mRuntimeError\u001b[0m: Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx" - ] - } - ] - }, - { - "cell_type": "code", - "metadata": { - "id": "bdf58747" - }, - "source": [ - "def tutor_bot(question):\n", - " context = \"\"\"\n", - " Newton's laws of motion are three physical laws that together laid the foundation for classical mechanics.\n", - " Photosynthesis is the process by which green plants use sunlight to synthesize food from carbon dioxide and water.\n", - " The mitochondrion is the powerhouse of the cell.\n", - " The speed of light is approximately 3.0 × 10^8 m/s.\n", - " \"\"\"\n", - " result = qa_model(question=question, context=context)\n", - " return f\"Hi, I'm TutorPal 👋\\n\\nHere's your answer:\\n{result['answer']}\"" - ], - "execution_count": 7, - "outputs": [] - }, - { - "cell_type": "code", - "source": [], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 146 - }, - "id": "RJLvy-50wp8f", - "outputId": "9a61d6f2-227a-4dc3-9b4b-129fb68a5398" - }, - "execution_count": 8, - "outputs": [ - { - "output_type": "error", - "ename": "NameError", - "evalue": "name 'gr' is not defined", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m/tmp/ipython-input-8-2464072602.py\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mgr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mInterface\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtutor_bot\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"text\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moutputs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"text\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtitle\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"📘 TutorPal\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlaunch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;31mNameError\u001b[0m: name 'gr' is not defined" - ] - } - ] - } - ] -} \ No newline at end of file +from transformers import pipeline +import gradio as gr + +# Load QA model +qa_model = pipeline("question-answering") + +# TutorPal AI logic +def tutor_bot(question): + context = """ + Newton's laws of motion are three physical laws that together laid the foundation for classical mechanics. + Photosynthesis is the process by which green plants use sunlight to synthesize food from carbon dioxide and water. + The mitochondrion is the powerhouse of the cell. + The speed of light is approximately 3.0 × 10^8 m/s. + """ + result = qa_model(question=question, context=context) + return f"Hi, I'm TutorPal 👋\n\nHere's your answer:\n{result['answer']}" + +# Gradio app +gr.Interface(fn=tutor_bot, inputs="text", outputs="text", title="📘 TutorPal - Assignment Helper").launch() \ No newline at end of file