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\u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h" ] } ], "source": [ "!pip install langchain -qU\n", "!pip install langchain-community -qU\n", "!pip install langchain-chroma -qU\n", "!pip install duckduckgo-search -qU\n", "!pip install langchainhub -qU\n", "!pip install langchain_google_genai\n", "!pip install InstructorEmbedding\n", "!pip install sentence-transformers==2.2.2\n", "!pip install pypdf -qU" ] }, { "cell_type": "code", "source": [ "from langchain_google_genai import ChatGoogleGenerativeAI,GoogleGenerativeAIEmbeddings\n", "from google.colab import userdata\n", "GOOGLE_API_KEY = userdata.get('GEMINI_API_KEY')\n", "\n", "\n", "llm=ChatGoogleGenerativeAI(\n", " model=\"gemini-1.5-flash\",\n", " temperature=0,\n", " api_key=GOOGLE_API_KEY\n", ")\n", "\n", "embedding_model= GoogleGenerativeAIEmbeddings(\n", " model=\"models/embedding-001\"\n", ")" ], "metadata": { "id": "7SA3hgx6Xlz1" }, "execution_count": 2, "outputs": [] }, { "cell_type": "code", "source": [ "from langchain.embeddings import HuggingFaceInstructEmbeddings\n", "\n", "# Used HuggingFace embedding model as the embedding model\n", "embedding_model_2 = HuggingFaceInstructEmbeddings(model_name=\"hkunlp/instructor-xl\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 797, "referenced_widgets": [ "c5d65d3b4b0b43ce9a605f3e3df2b169", "51dde11cbfff4705a2cfa66d991e0bfd", "51795375bbc34430884d224101ddd118", "13e99c6919314a65acd9a90db5628863", "f31d322e4e994e178695b284dab2912d", "8308641250fd45bfb9951ef1de1fa7d7", "ade9a04976354a2ea3c45942fbba8f58", "88d27c71d4794a9caa6770e07b5c0ff0", "3ae89df782a54ec3b4213664c1e6caad", "c445611f0bb148e28c82a780f0bb25cf", "7e79a97890c244bea0a5945599ed49ca", "24501e8422c04237b7db18c85eafb3aa", "4ba9ed5a38af4186a874dd9039b65def", "465f57377626433981fd68f2bd3d60cb", "472231facba2420ca52ab68f0b3b008c", "8e6ae3fb7c3b4af09163e837189273f3", "5c6b8c790ecc4967845b597073e9f787", "dd95653ec2a745f989e3b65259ee185e", 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"b59f909499324c358d1748377ec5b6a4" ] }, "collapsed": true, "id": "XAhBT1p5hO21", "outputId": "698f7232-e66f-41e4-d644-a23ab4f441b1" }, "execution_count": 3, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.10/dist-packages/pydantic/_internal/_fields.py:132: UserWarning: Field \"model_name\" in HuggingFaceInferenceAPIEmbeddings has conflict with protected namespace \"model_\".\n", "\n", "You may be able to resolve this warning by setting `model_config['protected_namespaces'] = ()`.\n", " warnings.warn(\n", "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: 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", "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_deprecation.py:131: FutureWarning: 'cached_download' (from 'huggingface_hub.file_download') is deprecated and will be removed from version '0.26'. Use `hf_hub_download` instead.\n", " warnings.warn(warning_message, FutureWarning)\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ ".gitattributes: 0%| | 0.00/1.48k [00:00=5.1 in /usr/local/lib/python3.10/dist-packages (from pyngrok) (6.0.2)\n", "Downloading pyngrok-7.2.0-py3-none-any.whl (22 kB)\n", "Installing collected packages: pyngrok\n", "Successfully installed pyngrok-7.2.0\n", "Collecting flask_cors\n", " Downloading Flask_Cors-5.0.0-py2.py3-none-any.whl.metadata (5.5 kB)\n", "Requirement already satisfied: Flask>=0.9 in /usr/local/lib/python3.10/dist-packages (from flask_cors) (2.2.5)\n", "Requirement already satisfied: Werkzeug>=2.2.2 in /usr/local/lib/python3.10/dist-packages (from Flask>=0.9->flask_cors) (3.0.4)\n", "Requirement already satisfied: Jinja2>=3.0 in /usr/local/lib/python3.10/dist-packages (from Flask>=0.9->flask_cors) (3.1.4)\n", "Requirement already satisfied: itsdangerous>=2.0 in /usr/local/lib/python3.10/dist-packages (from Flask>=0.9->flask_cors) (2.2.0)\n", "Requirement already satisfied: click>=8.0 in /usr/local/lib/python3.10/dist-packages (from Flask>=0.9->flask_cors) (8.1.7)\n", "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from Jinja2>=3.0->Flask>=0.9->flask_cors) (2.1.5)\n", "Downloading Flask_Cors-5.0.0-py2.py3-none-any.whl (14 kB)\n", "Installing collected packages: flask_cors\n", "Successfully installed flask_cors-5.0.0\n" ] } ] }, { "cell_type": "code", "source": [ "# Set your ngrok authtoken\n", "ngrok.set_auth_token(\"2mBRk3uw5rr7B5Iq67MqHt8fXFy_4aANS3yjSViVbqYaxCfZ3\") # Replace with your actual token\n", "port_no = 5000\n", "# Create Flask app\n", "app = Flask(__name__)\n", "CORS(app)\n", "@app.route('/ask', methods=['POST'])\n", "def ask():\n", " try:\n", " user_input = request.json.get(\"question\")\n", " if not user_input:\n", " return jsonify({\"error\": \"No question provided\"}), 400\n", "\n", " response = agent_executor.invoke({\"input\": user_input})\n", " return jsonify({\"answer\": response['output']})\n", "\n", " except Exception as e:\n", " return jsonify({\"error\": str(e)}), 500\n", "\n", "def run_flask():\n", " app.run(port=port_no)\n", "\n", "# Run Flask app in a separate thread\n", "flask_thread = threading.Thread(target=run_flask)\n", "flask_thread.start()\n", "\n", "# Expose the Flask app using ngrok\n", "public_url = ngrok.connect(port_no).public_url\n", "print(f\"Public URL: {public_url}\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "collapsed": true, "id": "ffmhxlxi1tDu", "outputId": "76052c06-47e2-4940-923f-dc79c4637185" }, "execution_count": 26, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " * Serving Flask app '__main__'\n", " * Debug mode: off\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "INFO:werkzeug:\u001b[31m\u001b[1mWARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.\u001b[0m\n", " * Running on http://127.0.0.1:5000\n", "INFO:werkzeug:\u001b[33mPress CTRL+C to quit\u001b[0m\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "Public URL: https://5687-34-125-112-232.ngrok-free.app\n" ] } ] } ] }