CSV_Chatbot_LLAMA7B_Flask.ipynb

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            "Installing collected packages: watchdog, validators, smmap, pydeck, gitdb, gitpython, streamlit\n",
            "Successfully installed gitdb-4.0.11 gitpython-3.1.41 pydeck-0.8.1b0 smmap-5.0.1 streamlit-1.30.0 validators-0.22.0 watchdog-3.0.0\n",
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            "\u001b[?25hCollecting langchain-core<0.2,>=0.1.16 (from langchain)\n",
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            "\u001b[?25hCollecting langsmith<0.1,>=0.0.83 (from langchain)\n",
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            "  Downloading marshmallow-3.20.2-py3-none-any.whl (49 kB)\n",
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            "\u001b[?25hCollecting typing-inspect<1,>=0.4.0 (from dataclasses-json<0.7,>=0.5.7->langchain)\n",
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            "Collecting mypy-extensions>=0.3.0 (from typing-inspect<1,>=0.4.0->dataclasses-json<0.7,>=0.5.7->langchain)\n",
            "  Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\n",
            "Installing collected packages: mypy-extensions, marshmallow, jsonpointer, typing-inspect, langsmith, jsonpatch, langchain-core, dataclasses-json, langchain-community, langchain\n",
            "Successfully installed dataclasses-json-0.6.3 jsonpatch-1.33 jsonpointer-2.4 langchain-0.1.4 langchain-community-0.0.16 langchain-core-0.1.17 langsmith-0.0.85 marshmallow-3.20.2 mypy-extensions-1.0.0 typing-inspect-0.9.0\n",
            "Collecting streamlit_chat\n",
            "  Downloading streamlit_chat-0.1.1-py3-none-any.whl (1.2 MB)\n",
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            "Installing collected packages: streamlit_chat\n",
            "Successfully installed streamlit_chat-0.1.1\n",
            "Collecting ctransformers\n",
            "  Downloading ctransformers-0.2.27-py3-none-any.whl (9.9 MB)\n",
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            "Installing collected packages: ctransformers\n",
            "Successfully installed ctransformers-0.2.27\n"
          ]
        }
      ],
      "source": [
        "!pip install streamlit\n",
        "!pip install langchain\n",
        "!pip install streamlit_chat\n",
        "!pip install ctransformers"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -i https://test.pypi.org/simple/ bitsandbytes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "CLf8-k-GCX6-",
        "outputId": "fef35586-3e8c-4306-e7fd-f11f6bf68c69"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://test.pypi.org/simple/\n",
            "Collecting bitsandbytes\n",
            "  Downloading https://test-files.pythonhosted.org/packages/5c/e0/597d593ec3b6cf5ea7eb4894a545045bd95611de8a316a2a1eaa838a2459/bitsandbytes-0.39.0-py3-none-any.whl (95.8 MB)\n",
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            "\u001b[?25hInstalling collected packages: bitsandbytes\n",
            "Successfully installed bitsandbytes-0.39.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install transformers"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "p89CfB0lCZ-h",
        "outputId": "76bb3aeb-13fa-4f3e-f9b8-20b63add1a1d"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (3.6)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers) (2023.11.17)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install torch"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FAlWGMdNC-66",
        "outputId": "15500ace-826f-472f-ab41-9288c0a206a3"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: torch in /usr/local/lib/python3.10/dist-packages (2.1.0+cu121)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch) (3.13.1)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch) (4.5.0)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch) (1.12)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch) (3.2.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch) (3.1.3)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch) (2023.6.0)\n",
            "Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch) (2.1.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch) (2.1.4)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch) (1.3.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install accelerate"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zT9FTvjsF3AJ",
        "outputId": "c1cfba47-9fba-4f56-dba4-9e3a74131b19"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting accelerate\n",
            "  Downloading accelerate-0.26.1-py3-none-any.whl (270 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m270.9/270.9 kB\u001b[0m \u001b[31m2.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from accelerate) (1.23.5)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (23.2)\n",
            "Requirement already satisfied: psutil in /usr/local/lib/python3.10/dist-packages (from accelerate) (5.9.5)\n",
            "Requirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from accelerate) (6.0.1)\n",
            "Requirement already satisfied: torch>=1.10.0 in /usr/local/lib/python3.10/dist-packages (from accelerate) (2.1.0+cu121)\n",
            "Requirement already satisfied: huggingface-hub in /usr/local/lib/python3.10/dist-packages (from accelerate) (0.20.3)\n",
            "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from accelerate) (0.4.2)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.13.1)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (4.5.0)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (1.12)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.2.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (3.1.3)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2023.6.0)\n",
            "Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.10.0->accelerate) (2.1.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (2.31.0)\n",
            "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->accelerate) (4.66.1)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.10.0->accelerate) (2.1.4)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (3.6)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->accelerate) (2023.11.17)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.10.0->accelerate) (1.3.0)\n",
            "Installing collected packages: accelerate\n",
            "Successfully installed accelerate-0.26.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -r /content/requirements.txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mJYZ6vmnOuNj",
        "outputId": "39b850cc-03af-42b2-b8d4-405ebc82193f"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[31mERROR: Could not open requirements file: [Errno 2] No such file or directory: '/content/requirements.txt'\u001b[0m\u001b[31m\n",
            "\u001b[0m"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "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"
      ],
      "metadata": {
        "id": "dBuBHzLuFrbb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from huggingface_hub import notebook_login\n",
        "notebook_login()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 170,
          "referenced_widgets": [
            "b388194c72d04169bb1a326596149089",
            "004930b259a6407298527503be6201e4",
            "e1546f64448b49f190ba863b5942f515",
            "46e6a09bd5004032bcd1bac573a7cd02",
            "1e0d503d1ae844a3a7f8af6853e114d9",
            "b88ab5a698794d81babb27ac84df21b0",
            "dd9b7db108b5439fb384cad679260092",
            "b25aa9373dc74231aebcefd65b0305da",
            "3502131cf8cf4dda8c51ae582ab8667c",
            "488b7705658342c09183004e92d800c3",
            "2df8229a14a94c0db019600975ad38a7",
            "274abddef9a84354976bfbf4bcf168b5",
            "e3bc08dfef454e6d9f3d9be52a9ba794",
            "ee5210f7f00f4f9eb37894bdfd6e67fc",
            "e9c2e0aeb7a04cb6afdd150d07d748de",
            "437c2e2977414b5f9ef72b300f7214e2",
            "64e66bce14294b95a5fdb77fb4f75bfe",
            "ef92f2bfacf3489e8947ea45a857ae3c",
            "2ed23cc3e6a642b080c5f6e538d36d40",
            "f653a2400bdc46d7a233df198906a143",
            "5ff47510018044f4a3e9b15840890c5a",
            "52bdf24c9ec74fe3ae4b1058c1704a60",
            "ed183ebb92dd4cc5ba8ea361e0b9d8c5",
            "ea7a9b64455b476c90729106af471f4a",
            "345ad9ad36514d788cea3fd691478d7d",
            "a7c62290363944199ce61c651506d272",
            "d9ffb4bfad214797a7230afc3d17ed29",
            "62b05ad1ce4b4a89878a6585526672a1",
            "7947681f49584fa7b451c480283af83f",
            "59db39be9dd64ca39e20bce1ed05e765",
            "9043a3f994754708848f7072237a7de2",
            "d0e98627442345ab92a9190424ff786f"
          ]
        },
        "id": "hfct4EQvE6fh",
        "outputId": "38479b8d-754c-4e8a-d299-445945a69f5e"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "b388194c72d04169bb1a326596149089"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install flask"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "anuVxoixTTqt",
        "outputId": "0d4b0884-9e59-4e0c-d78d-c75dde2b1f5a"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: flask in /usr/local/lib/python3.10/dist-packages (2.2.5)\n",
            "Requirement already satisfied: Werkzeug>=2.2.2 in /usr/local/lib/python3.10/dist-packages (from flask) (3.0.1)\n",
            "Requirement already satisfied: Jinja2>=3.0 in /usr/local/lib/python3.10/dist-packages (from flask) (3.1.3)\n",
            "Requirement already satisfied: itsdangerous>=2.0 in /usr/local/lib/python3.10/dist-packages (from flask) (2.1.2)\n",
            "Requirement already satisfied: click>=8.0 in /usr/local/lib/python3.10/dist-packages (from flask) (8.1.7)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from Jinja2>=3.0->flask) (2.1.4)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import tempfile\n",
        "from langchain.document_loaders.csv_loader import CSVLoader\n",
        "from langchain.embeddings import HuggingFaceEmbeddings\n",
        "from langchain.vectorstores import FAISS\n",
        "from langchain.chains import ConversationalRetrievalChain\n",
        "from langchain.chains import QAGenerationChain\n",
        "from langchain.llms import CTransformers\n",
        "import transformers\n",
        "from transformers import AutoModelForCausalLM, BitsAndBytesConfig\n",
        "import bitsandbytes\n",
        "\n",
        "from flask import Flask,jsonify,request\n",
        "import joblib\n",
        "\n",
        "\n",
        "#def llm_conversation():\n",
        "#json=request.get_json()\n",
        "#calling model for conversation\n",
        "\n",
        "model_name=\"meta-llama/Llama-2-7b-chat-hf\"\n",
        "\n",
        "#bnb_config = BitsAndBytesConfig(\n",
        " #   load_in_4bit=True,\n",
        "  #  bnb_4bit_quant_type=\"nf4\",\n",
        "   # bnb_4bit_use_double_quant=True,\n",
        "    #bnb_4bit_compute_dtype=torch.float16,\n",
        "#)\n",
        "\n",
        "#model=AutoModelForCausalLM.from_pretrained(\n",
        " # model_name,\n",
        "  #quantization_config=bnb_config,\n",
        "  #trust_remote_code=True,\n",
        "  #device_map=\"auto\"\n",
        "#)\n",
        "#model.config.use_cache = False\n",
        "\n",
        "FAISS_PATH='vectorstore/faiss'\n",
        "app=Flask(__name__)\n",
        "def model_load():\n",
        "     #model_name=\"meta-llama/Llama-2-7b-chat-hf\"\n",
        "     #model=transfomers.AutoModelForCausalLM.from_pretrained(model_name)\n",
        "\n",
        "     model = CTransformers(\n",
        "        model = \"TheBloke/Llama-2-7B-Chat-GGML\",\n",
        "        model_type=\"llama\",\n",
        "        max_new_tokens = 512,\n",
        "        temperature = 0.5\n",
        "    )\n",
        "     return model\n",
        "\n",
        "@app.route(\"/upload\",methods=['POST'])\n",
        "\n",
        "def upload_file():\n",
        "    global file_id\n",
        "    if 'file' not in request.files:\n",
        "        return 'No file part', 400\n",
        "    file = request.files['file']\n",
        "    if file.filename == '':\n",
        "        return 'No selected file', 400\n",
        "    if file and allowed_file(file.filename):\n",
        "        filename = secure_filename(file.filename)\n",
        "        file_id = str(uuid.uuid4())\n",
        "        filepath = os.path.join(app.config['UPLOAD_FOLDER'], file_id)\n",
        "        file.save(filepath)\n",
        "\n",
        "    loader = CSVLoader(file_path=filepath, encoding=\"utf-8\", csv_args={\n",
        "                'delimiter': ','})\n",
        "    data = loader.load()\n",
        "    embeddings = HuggingFaceEmbeddings(model_name='sentence-transformers/all-MiniLM-L6-v2',\n",
        "                                       model_kwargs={'device': 'cpu'})\n",
        "\n",
        "    db = FAISS.from_documents(data, embeddings)\n",
        "    db.save_local(FAISS_PATH)\n",
        "    model= model_load()\n",
        "    chain = ConversationalRetrievalChain.from_llm(llm=model, retriever=db.as_retriever())\n",
        "\n",
        "\n",
        "\n",
        "@app.route(\"/query\",methods=['POST'])\n",
        "def query():\n",
        "  global chain\n",
        "  data=request.json\n",
        "  query=data.get('query')\n",
        "\n",
        "  return jsonify(chain.run(query)),200\n",
        "\n",
        "if __name__=='__main__':\n",
        "  app.run(debug=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "48BWGZhQEgAz",
        "outputId": "b279760b-9deb-4afb-fdbe-ee2c72bfa12f"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            " * Serving Flask app '__main__'\n",
            " * Debug mode: on\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",
            "INFO:werkzeug: * Restarting with watchdog (inotify)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Creating a Docker image**"
      ],
      "metadata": {
        "id": "Mt2E4ZypVKlM"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "uTUT1d_6VM_p"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install pyngrok"
      ],
      "metadata": {
        "id": "Kj8hDlvm9Ts-"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from pyngrok import ngrok\n",
        "!ngrok authtoken 2ZJryUwqeA0s90TEO5DYQJKeIBL_3HcvacvsFCwxbWkPWGoBc"
      ],
      "metadata": {
        "id": "lxlEg85h9_LD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!nohup streamlit run app.py &"
      ],
      "metadata": {
        "id": "U5YDfjX4-BvE"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "url=ngrok.connect(8501)\n",
        "url"
      ],
      "metadata": {
        "id": "HMVV2kRL-L1v"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!streamlit run --server.port 8051 app.py >/dev/null"
      ],
      "metadata": {
        "id": "bpHwRXo68KBJ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "vhJtkZq8A9s2"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}