langachin_streamlit_app.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4",
      "mount_file_id": "1NPDaFgkuXR6NCi_h_eOmSbx3xuekEaxa",
      "authorship_tag": "ABX9TyM+9DypJ1vuKx4s8qE2DR1G",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Jaid844/AI_Chatbot_hush/blob/main/langachin_streamlit_app.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "c0Jf0t5JBJs5",
        "outputId": "f55c811f-cbb9-4848-8c5c-df2833c0019d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting langchain\n",
            "  Downloading langchain-0.0.268-py3-none-any.whl (1.5 MB)\n",
            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/1.5 MB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m━\u001b[0m\u001b[91m╸\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.1/1.5 MB\u001b[0m \u001b[31m1.9 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[91m╸\u001b[0m \u001b[32m1.5/1.5 MB\u001b[0m \u001b[31m22.9 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.5/1.5 MB\u001b[0m \u001b[31m19.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: PyYAML>=5.3 in /usr/local/lib/python3.10/dist-packages (from langchain) (6.0.1)\n",
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            "Requirement already satisfied: aiohttp<4.0.0,>=3.8.3 in /usr/local/lib/python3.10/dist-packages (from langchain) (3.8.5)\n",
            "Requirement already satisfied: async-timeout<5.0.0,>=4.0.0 in /usr/local/lib/python3.10/dist-packages (from langchain) (4.0.3)\n",
            "Collecting dataclasses-json<0.6.0,>=0.5.7 (from langchain)\n",
            "  Downloading dataclasses_json-0.5.14-py3-none-any.whl (26 kB)\n",
            "Collecting langsmith<0.1.0,>=0.0.21 (from langchain)\n",
            "  Downloading langsmith-0.0.25-py3-none-any.whl (33 kB)\n",
            "Requirement already satisfied: numexpr<3.0.0,>=2.8.4 in /usr/local/lib/python3.10/dist-packages (from langchain) (2.8.5)\n",
            "Requirement already satisfied: numpy<2,>=1 in /usr/local/lib/python3.10/dist-packages (from langchain) (1.23.5)\n",
            "Requirement already satisfied: pydantic<3,>=1 in /usr/local/lib/python3.10/dist-packages (from langchain) (2.1.1)\n",
            "Requirement already satisfied: requests<3,>=2 in /usr/local/lib/python3.10/dist-packages (from langchain) (2.31.0)\n",
            "Requirement already satisfied: tenacity<9.0.0,>=8.1.0 in /usr/local/lib/python3.10/dist-packages (from langchain) (8.2.3)\n",
            "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp<4.0.0,>=3.8.3->langchain) (23.1.0)\n",
            "Requirement already satisfied: charset-normalizer<4.0,>=2.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp<4.0.0,>=3.8.3->langchain) (3.2.0)\n",
            "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp<4.0.0,>=3.8.3->langchain) (6.0.4)\n",
            "Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp<4.0.0,>=3.8.3->langchain) (1.9.2)\n",
            "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp<4.0.0,>=3.8.3->langchain) (1.4.0)\n",
            "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp<4.0.0,>=3.8.3->langchain) (1.3.1)\n",
            "Collecting marshmallow<4.0.0,>=3.18.0 (from dataclasses-json<0.6.0,>=0.5.7->langchain)\n",
            "  Downloading marshmallow-3.20.1-py3-none-any.whl (49 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.4/49.4 kB\u001b[0m \u001b[31m6.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting typing-inspect<1,>=0.4.0 (from dataclasses-json<0.6.0,>=0.5.7->langchain)\n",
            "  Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)\n",
            "Requirement already satisfied: annotated-types>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from pydantic<3,>=1->langchain) (0.5.0)\n",
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            "Requirement already satisfied: typing-extensions>=4.6.1 in /usr/local/lib/python3.10/dist-packages (from pydantic<3,>=1->langchain) (4.7.1)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2->langchain) (3.4)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2->langchain) (2.0.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2->langchain) (2023.7.22)\n",
            "Requirement already satisfied: greenlet!=0.4.17 in /usr/local/lib/python3.10/dist-packages (from SQLAlchemy<3,>=1.4->langchain) (2.0.2)\n",
            "Requirement already satisfied: packaging>=17.0 in /usr/local/lib/python3.10/dist-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses-json<0.6.0,>=0.5.7->langchain) (23.1)\n",
            "Collecting mypy-extensions>=0.3.0 (from typing-inspect<1,>=0.4.0->dataclasses-json<0.6.0,>=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, typing-inspect, langsmith, dataclasses-json, langchain\n",
            "Successfully installed dataclasses-json-0.5.14 langchain-0.0.268 langsmith-0.0.25 marshmallow-3.20.1 mypy-extensions-1.0.0 typing-inspect-0.9.0\n"
          ]
        }
      ],
      "source": [
        "!pip install  langchain"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "evwhFD_ZoSuw"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install streamlit\n",
        "import streamlit as st"
      ],
      "metadata": {
        "id": "PqrZ9E1CBiOR",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9b27eb53-5c4b-426f-ec21-493c4883de26"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Requirement already satisfied: watchdog>=2.1.5 in /usr/local/lib/python3.10/dist-packages (from streamlit) (3.0.0)\n",
            "Requirement already satisfied: entrypoints in /usr/local/lib/python3.10/dist-packages (from altair<6,>=4.0->streamlit) (0.4)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from altair<6,>=4.0->streamlit) (3.1.2)\n",
            "Requirement already satisfied: jsonschema>=3.0 in /usr/local/lib/python3.10/dist-packages (from altair<6,>=4.0->streamlit) (4.19.0)\n",
            "Requirement already satisfied: toolz in /usr/local/lib/python3.10/dist-packages (from altair<6,>=4.0->streamlit) (0.12.0)\n",
            "Requirement already satisfied: gitdb<5,>=4.0.1 in /usr/local/lib/python3.10/dist-packages (from gitpython!=3.1.19,<4,>=3.0.7->streamlit) (4.0.10)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/dist-packages (from importlib-metadata<7,>=1.4->streamlit) (3.16.2)\n",
            "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.10/dist-packages (from pandas<3,>=1.3.0->streamlit) (2023.3)\n",
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            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.18->streamlit) (3.4)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.18->streamlit) (2.0.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.18->streamlit) (2023.7.22)\n",
            "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich<14,>=10.14.0->streamlit) (3.0.0)\n",
            "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich<14,>=10.14.0->streamlit) (2.16.1)\n",
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            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->altair<6,>=4.0->streamlit) (2.1.3)\n",
            "Requirement already satisfied: attrs>=22.2.0 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6,>=4.0->streamlit) (23.1.0)\n",
            "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6,>=4.0->streamlit) (2023.7.1)\n",
            "Requirement already satisfied: referencing>=0.28.4 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6,>=4.0->streamlit) (0.30.2)\n",
            "Requirement already satisfied: rpds-py>=0.7.1 in /usr/local/lib/python3.10/dist-packages (from jsonschema>=3.0->altair<6,>=4.0->streamlit) (0.9.2)\n",
            "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich<14,>=10.14.0->streamlit) (0.1.2)\n",
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          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install unstructured -q\n",
        "!pip install unstructured[local-inference] -q"
      ],
      "metadata": {
        "id": "C4crxLMMtAOm"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install detectron2@git+https://github.com/facebookresearch/detectron2.git@v0.6#egg=detectron2 -q"
      ],
      "metadata": {
        "id": "DRNnuMZKtARF",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2a87fd6c-2e52-4c59-f4cc-383dddedfc92"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m50.2/50.2 kB\u001b[0m \u001b[31m1.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m154.5/154.5 kB\u001b[0m \u001b[31m4.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m131.0/131.0 kB\u001b[0m \u001b[31m9.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Building wheel for detectron2 (setup.py) ... \u001b[?25l\u001b[?25hcanceled\n",
            "\u001b[31mERROR: Operation cancelled by user\u001b[0m\u001b[31m\n",
            "\u001b[0mTraceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/cli/base_command.py\", line 169, in exc_logging_wrapper\n",
            "    status = run_func(*args)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/cli/req_command.py\", line 242, in wrapper\n",
            "    return func(self, options, args)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/commands/install.py\", line 417, in run\n",
            "    _, build_failures = build(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/wheel_builder.py\", line 320, in build\n",
            "    wheel_file = _build_one(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/wheel_builder.py\", line 194, in _build_one\n",
            "    wheel_path = _build_one_inside_env(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/wheel_builder.py\", line 241, in _build_one_inside_env\n",
            "    wheel_path = build_wheel_legacy(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/operations/build/wheel_legacy.py\", line 83, in build_wheel_legacy\n",
            "    output = call_subprocess(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/utils/subprocess.py\", line 166, in call_subprocess\n",
            "    line: str = proc.stdout.readline()\n",
            "KeyboardInterrupt\n",
            "\n",
            "During handling of the above exception, another exception occurred:\n",
            "\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/bin/pip3\", line 8, in <module>\n",
            "    sys.exit(main())\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/cli/main.py\", line 79, in main\n",
            "    return command.main(cmd_args)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/cli/base_command.py\", line 101, in main\n",
            "    return self._main(args)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/cli/base_command.py\", line 223, in _main\n",
            "    return run(options, args)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/cli/base_command.py\", line 207, in exc_logging_wrapper\n",
            "    logger.debug(\"Exception information:\", exc_info=True)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 1465, in debug\n",
            "    self._log(DEBUG, msg, args, **kwargs)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 1624, in _log\n",
            "    self.handle(record)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 1634, in handle\n",
            "    self.callHandlers(record)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 1696, in callHandlers\n",
            "    hdlr.handle(record)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 968, in handle\n",
            "    self.emit(record)\n",
            "  File \"/usr/lib/python3.10/logging/handlers.py\", line 75, in emit\n",
            "    logging.FileHandler.emit(self, record)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 1218, in emit\n",
            "    StreamHandler.emit(self, record)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 1100, in emit\n",
            "    msg = self.format(record)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 943, in format\n",
            "    return fmt.format(record)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/pip/_internal/utils/logging.py\", line 112, in format\n",
            "    formatted = super().format(record)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 686, in format\n",
            "    record.exc_text = self.formatException(record.exc_info)\n",
            "  File \"/usr/lib/python3.10/logging/__init__.py\", line 636, in formatException\n",
            "    traceback.print_exception(ei[0], ei[1], tb, None, sio)\n",
            "  File \"/usr/lib/python3.10/traceback.py\", line 119, in print_exception\n",
            "    te = TracebackException(type(value), value, tb, limit=limit, compact=True)\n",
            "  File \"/usr/lib/python3.10/traceback.py\", line 502, in __init__\n",
            "    self.stack = StackSummary.extract(\n",
            "  File \"/usr/lib/python3.10/traceback.py\", line 383, in extract\n",
            "    f.line\n",
            "  File \"/usr/lib/python3.10/traceback.py\", line 306, in line\n",
            "    self._line = linecache.getline(self.filename, self.lineno)\n",
            "  File \"/usr/lib/python3.10/linecache.py\", line 30, in getline\n",
            "    lines = getlines(filename, module_globals)\n",
            "  File \"/usr/lib/python3.10/linecache.py\", line 46, in getlines\n",
            "    return updatecache(filename, module_globals)\n",
            "  File \"/usr/lib/python3.10/linecache.py\", line 136, in updatecache\n",
            "    with tokenize.open(fullname) as fp:\n",
            "  File \"/usr/lib/python3.10/tokenize.py\", line 396, in open\n",
            "    encoding, lines = detect_encoding(buffer.readline)\n",
            "  File \"/usr/lib/python3.10/tokenize.py\", line 365, in detect_encoding\n",
            "    first = read_or_stop()\n",
            "  File \"/usr/lib/python3.10/tokenize.py\", line 323, in read_or_stop\n",
            "    return readline()\n",
            "KeyboardInterrupt\n",
            "^C\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "!apt-get install poppler-utils"
      ],
      "metadata": {
        "id": "39wjebiTtATd",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1d18bb4f-3f62-4958-cb07-f5fd9025ea01"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree... Done\n",
            "Reading state information... Done\n",
            "poppler-utils is already the newest version (22.02.0-2ubuntu0.2).\n",
            "0 upgraded, 0 newly installed, 0 to remove and 16 not upgraded.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "_dP5PdG1uQgG"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from langchain.document_loaders import DirectoryLoader\n",
        "directory = '/content/drive/MyDrive/data'\n",
        "\n",
        "def load_docs(directory):\n",
        "  loader = DirectoryLoader(directory)\n",
        "  documents = loader.load()\n",
        "  return documents\n",
        "\n",
        "documents=load_docs(directory)\n",
        "len(documents)\n"
      ],
      "metadata": {
        "id": "3SiSqhuqtAV9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e8396c5b-6846-4592-eb25-c1db06a79864"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
        "def split_docs(documents, chunk_size=1000, chunk_overlap=20):\n",
        "  text_splitter = RecursiveCharacterTextSplitter(chunk_size=chunk_size, chunk_overlap=chunk_overlap)\n",
        "  docs = text_splitter.split_documents(documents)\n",
        "  return docs\n",
        "\n",
        "docs=split_docs(documents)\n",
        "print(len(docs))"
      ],
      "metadata": {
        "id": "xYIpsRO-tAYO",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f2fc53f5-d980-44ab-9c1f-629d5d556dfa"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "7\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(docs[0].page_content)"
      ],
      "metadata": {
        "id": "QWVff3o_uasR"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install InstructorEmbedding sentence_transformers"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mK_Vrm91uaum",
        "outputId": "9803bf24-c635-4353-82ad-b335dd3faedb"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: InstructorEmbedding in /usr/local/lib/python3.10/dist-packages (1.0.1)\n",
            "Requirement already satisfied: sentence_transformers in /usr/local/lib/python3.10/dist-packages (2.2.2)\n",
            "Requirement already satisfied: transformers<5.0.0,>=4.6.0 in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (4.31.0)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (4.66.1)\n",
            "Requirement already satisfied: torch>=1.6.0 in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (2.0.1+cu118)\n",
            "Requirement already satisfied: torchvision in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (0.15.2+cu118)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (1.23.5)\n",
            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (1.2.2)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (1.10.1)\n",
            "Requirement already satisfied: nltk in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (3.8.1)\n",
            "Requirement already satisfied: sentencepiece in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (0.1.99)\n",
            "Requirement already satisfied: huggingface-hub>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from sentence_transformers) (0.16.4)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (3.12.2)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (2023.6.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (2.31.0)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (6.0.1)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (4.7.1)\n",
            "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub>=0.4.0->sentence_transformers) (23.1)\n",
            "Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (1.12)\n",
            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (3.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (3.1.2)\n",
            "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.6.0->sentence_transformers) (2.0.0)\n",
            "Requirement already satisfied: cmake in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.6.0->sentence_transformers) (3.27.2)\n",
            "Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.6.0->sentence_transformers) (16.0.6)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (2023.6.3)\n",
            "Requirement already satisfied: tokenizers!=0.11.3,<0.14,>=0.11.1 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (0.13.3)\n",
            "Requirement already satisfied: safetensors>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from transformers<5.0.0,>=4.6.0->sentence_transformers) (0.3.2)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.10/dist-packages (from nltk->sentence_transformers) (8.1.6)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from nltk->sentence_transformers) (1.3.2)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->sentence_transformers) (3.2.0)\n",
            "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /usr/local/lib/python3.10/dist-packages (from torchvision->sentence_transformers) (9.4.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.6.0->sentence_transformers) (2.1.3)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (3.2.0)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (3.4)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (2.0.4)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.4.0->sentence_transformers) (2023.7.22)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.6.0->sentence_transformers) (1.3.0)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from langchain.embeddings import HuggingFaceInstructEmbeddings\n",
        "\n",
        "instructor_embeddings = HuggingFaceInstructEmbeddings(model_name=\"hkunlp/instructor-xl\",\n",
        "                                                      model_kwargs={\"device\": \"cuda\"})"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OEShP8IRuawv",
        "outputId": "f8a2bbac-ee0a-4065-f28f-df8c766f3721"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/InstructorEmbedding/instructor.py:7: TqdmExperimentalWarning: Using `tqdm.autonotebook.tqdm` in notebook mode. Use `tqdm.tqdm` instead to force console mode (e.g. in jupyter console)\n",
            "  from tqdm.autonotebook import trange\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "load INSTRUCTOR_Transformer\n",
            "max_seq_length  512\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install pinecone-client -q"
      ],
      "metadata": {
        "id": "2mth71sxvc4F"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import pinecone\n",
        "from langchain.vectorstores import Pinecone\n",
        "pinecone.init(\n",
        "    api_key=\"fd9453a9-749a-4400-9673-053edbbe70a7\",\n",
        "    environment=\"gcp-starter\"\n",
        ")\n",
        "index_name = \"hugging\"\n",
        "index = Pinecone.from_documents(docs, instructor_embeddings, index_name=index_name)"
      ],
      "metadata": {
        "id": "52DM4ZpUuazO"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def get_similiar_docs(query,k=2,score=False):\n",
        "  if score:\n",
        "    similar_docs = index.similarity_search_with_score(query,k=k)\n",
        "  else:\n",
        "    similar_docs = index.similarity_search(query,k=k)\n",
        "  return similar_docs"
      ],
      "metadata": {
        "id": "t4tmVgV8ua1Z"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "querry=\"how much Runak ali paid \"\n",
        "simliar_docs=get_similiar_docs(querry)\n",
        "simliar_docs"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BhB1-SX4ua3J",
        "outputId": "81930922-060c-4215-e1d0-5e9c2f726b5f"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[Document(page_content='Google Pay\\n\\nPaid 30.00 to Raunak Ali using Bank Account XXXXXXXXXXX5007 ₹ Aug 17, 2023, 6:32:03 PM NPT\\n\\nProducts:\\n\\nGoogle Pay\\n\\nDetails:\\n\\nV9AebVrGTIWDl372\\n\\nCompleted\\n\\nProducts:\\n\\nGoogle Pay\\n\\nWhy is this here?\\n\\nThis activity was saved to your Google Account because the following settings were on: Personalization  within Google Pay. You can control these settings here.\\n\\nGoogle Pay\\n\\nPaid 30.00 to Mohd Absar using Bank Account XXXXXXXXXXX5007 ₹\\n\\nAug 17, 2023, 9:42:43 AM NPT\\n\\nProducts:\\n\\nGoogle Pay\\n\\nDetails:\\n\\nH8ACk5OZRbeqltVS\\n\\nCompleted\\n\\nGoogle Pay\\n\\nPaid 30.00 to SHARIF BEG using Bank Account XXXXXXXXXXX5007 ₹\\n\\nAug 17, 2023, 9:35:40 AM NPT\\n\\nProducts:\\n\\nGoogle Pay\\n\\nDetails:\\n\\nO917yrZ4SuWuufNe\\n\\nCompleted\\n\\nGoogle Pay\\n\\nPaid 600.00 using Bank Account XXXXXXXXXXX5007 ₹ Aug 16, 2023, 11:16:36 PM NPT\\n\\nProducts:\\n\\nGoogle Pay\\n\\nDetails:\\n\\nPTMb33556df84c0404297f4a4aee2386981\\n\\nCompleted\\n\\nGoogle Pay\\n\\nPaid 50.00 to Mohd Kaleem using Bank Account XXXXXXXXXXX5007 ₹ Aug 16, 2023, 8:48:04 PM NPT', metadata={'source': '/content/drive/MyDrive/data/GooglePay.txt'}),\n",
              " Document(page_content='Google Pay\\n\\nPaid 30.00 to Raunak Ali using Bank Account XXXXXXXXXXX5007 ₹ Aug 17, 2023, 6:32:03 PM NPT\\n\\nProducts:\\n\\nGoogle Pay\\n\\nDetails:\\n\\nV9AebVrGTIWDl372\\n\\nCompleted\\n\\nProducts:\\n\\nGoogle Pay\\n\\nWhy is this here?\\n\\nThis activity was saved to your Google Account because the following settings were on: Personalization  within Google Pay. You can control these settings here.\\n\\nGoogle Pay\\n\\nPaid 30.00 to Mohd Absar using Bank Account XXXXXXXXXXX5007 ₹\\n\\nAug 17, 2023, 9:42:43 AM NPT\\n\\nProducts:\\n\\nGoogle Pay\\n\\nDetails:\\n\\nH8ACk5OZRbeqltVS\\n\\nCompleted\\n\\nGoogle Pay\\n\\nPaid 30.00 to SHARIF BEG using Bank Account XXXXXXXXXXX5007 ₹\\n\\nAug 17, 2023, 9:35:40 AM NPT\\n\\nProducts:\\n\\nGoogle Pay\\n\\nDetails:\\n\\nO917yrZ4SuWuufNe\\n\\nCompleted\\n\\nGoogle Pay\\n\\nPaid 600.00 using Bank Account XXXXXXXXXXX5007 ₹ Aug 16, 2023, 11:16:36 PM NPT\\n\\nProducts:\\n\\nGoogle Pay\\n\\nDetails:\\n\\nPTMb33556df84c0404297f4a4aee2386981\\n\\nCompleted\\n\\nGoogle Pay\\n\\nPaid 50.00 to Mohd Kaleem using Bank Account XXXXXXXXXXX5007 ₹ Aug 16, 2023, 8:48:04 PM NPT', metadata={'source': '/content/drive/MyDrive/data/GooglePay.txt'})]"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "\n",
        "# Replace 'your_token_value' with your actual Hugging Face API token\n",
        "os.environ['HUGGINGFACEHUB_API_TOKEN'] = \"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\""
      ],
      "metadata": {
        "id": "sdv19ao7tAaW"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from langchain.llms import HuggingFaceHub\n",
        "llm = HuggingFaceHub(repo_id=\"google/flan-t5-xxl\", model_kwargs={\"temperature\":0.5, \"max_length\":512})"
      ],
      "metadata": {
        "id": "beHXVD2VtAdV"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from langchain.chains.question_answering import load_qa_chain\n",
        "chain = load_qa_chain(llm, chain_type=\"stuff\")\n",
        "\n",
        "def get_answer(query):\n",
        "  similar_docs = get_similiar_docs(query)\n",
        "  # print(similar_docs)\n",
        "  answer =  chain.run(input_documents=similar_docs, question=query)\n",
        "  return  answer\n",
        "\n",
        "query = \" what does Muhammad have skills \"\n",
        "get_answer(query)"
      ],
      "metadata": {
        "id": "oLSdF-vztAoW",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 53
        },
        "outputId": "5d01a299-4df0-498b-8258-8ff6efa3f446"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Passionate Data Scientist with a strong background in machine Decison Tree learning and natural language processing.'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"hellow world\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jzUb4CW3xMZv",
        "outputId": "86d656df-00e4-4113-8012-5a51be400238"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "hellow world\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%%writefile app.py\n",
        "import os\n",
        "from langchain.document_loaders import DirectoryLoader\n",
        "from langchain.vectorstores import Pinecone\n",
        "from langchain.embeddings import HuggingFaceInstructEmbeddings\n",
        "import streamlit as st\n",
        "from langchain.text_splitter import CharacterTextSplitter\n",
        "from langchain.embeddings import HuggingFaceInstructEmbeddings\n",
        "import streamlit as st\n",
        "import pinecone\n",
        "from langchain.vectorstores import Pinecone\n",
        "from langchain.chains.question_answering import load_qa_chain\n",
        "from langchain.llms import HuggingFaceHub\n",
        "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
        "\n",
        "directory = '/content/drive/MyDrive/data'\n",
        "\n",
        "def load_docs(directory):\n",
        "  loader = DirectoryLoader(directory)\n",
        "  documents = loader.load()\n",
        "  return documents\n",
        "\n",
        "\n",
        "\n",
        "os.environ['HUGGINGFACEHUB_API_TOKEN'] = \"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\"\n",
        "\n",
        "def split_docs(documents, chunk_size=1000, chunk_overlap=20):\n",
        "  text_splitter = RecursiveCharacterTextSplitter(chunk_size=chunk_size, chunk_overlap=chunk_overlap)\n",
        "  docs = text_splitter.split_documents(documents)\n",
        "  return docs\n",
        "\n",
        "\n",
        "def vector_store():\n",
        "  documents=load_docs('/content/drive/MyDrive/data')\n",
        "  docs=split_docs(documents)\n",
        "  instructor_embeddings = HuggingFaceInstructEmbeddings(model_name=\"hkunlp/instructor-xl\",\n",
        "                                                      model_kwargs={\"device\": \"cuda\"})\n",
        "  pinecone.init(api_key=\"aa24f75f-b31c-4e0c-bc0d-863ca548758a\",environment=\"us-west4-gcp-free\")\n",
        "  index_name = \"hush\"\n",
        "  index = Pinecone.from_documents(docs, instructor_embeddings, index_name=index_name)\n",
        "  return index\n",
        "\n",
        "def get_similiar_docs(query,k=2,score=False):\n",
        "  index=vector_store()\n",
        "  if score:\n",
        "    similar_docs = index.similarity_search_with_score(query,k=k)\n",
        "  else:\n",
        "    similar_docs = index.similarity_search(query,k=k)\n",
        "  return similar_docs\n",
        "\n",
        "def get_answer(query):\n",
        "  llm = HuggingFaceHub(repo_id=\"google/flan-t5-xxl\", model_kwargs={\"temperature\":0.5, \"max_length\":512})\n",
        "  chain = load_qa_chain(llm, chain_type=\"stuff\")\n",
        "  similar_docs = get_similiar_docs(query)\n",
        "  # print(similar_docs)\n",
        "  answer =  chain.run(input_documents=similar_docs, question=query)\n",
        "  return  answer\n",
        "\n",
        "\n",
        "def handleuser_input(user_question):\n",
        "  response = st.session_state.conversation({'question': user_question})\n",
        "  st.write(response)\n",
        "\n",
        "st.title(\"Question Search App\")\n",
        "search_query = st.text_input(\"Enter your question:\")\n",
        "if st.button(\"Search\"):\n",
        "   result = get_answer(search_query)  # Replace with your search method\n",
        "   st.write(\"Search results:\")\n",
        "   result_lines = result.splitlines()\n",
        "   for item in  result_lines:\n",
        "        st.write(item)\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3AkXwt9RBT8T",
        "outputId": "e48f4131-6ac8-4167-9a6f-5435a47a4bc8"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Overwriting app.py\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!curl ipv4.icanhazip.com\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "k2NiVTCDES9F",
        "outputId": "8d84c203-a0f6-43d1-d000-1b72df65ec58"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "34.142.187.172\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!streamlit run app.py  & npx  localtunnel --port 8501"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "t7Ug72oBBT-7",
        "outputId": "332b33ca-439c-4474-82a0-444b13ca1220"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[..................] | fetchMetadata: sill resolveWithNewModule localtunnel@2.0\u001b[0m\u001b[K\n",
            "Collecting usage statistics. To deactivate, set browser.gatherUsageStats to False.\n",
            "\u001b[0m\n",
            "\u001b[K\u001b[?25h\u001b[0m\n",
            "\u001b[34m\u001b[1m  You can now view your Streamlit app in your browser.\u001b[0m\n",
            "\u001b[0m\n",
            "\u001b[34m  Network URL: \u001b[0m\u001b[1mhttp://172.28.0.12:8501\u001b[0m\n",
            "\u001b[34m  External URL: \u001b[0m\u001b[1mhttp://34.142.187.172:8501\u001b[0m\n",
            "\u001b[0m\n",
            "npx: installed 22 in 3.732s\n",
            "your url is: https://angry-donkeys-show.loca.lt\n",
            "load INSTRUCTOR_Transformer\n",
            "max_seq_length  512\n",
            "\u001b[34m  Stopping...\u001b[0m\n",
            "^C\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from langchain.embeddings import HuggingFaceInstructEmbeddings\n",
        "\n",
        "instructor_embeddings = HuggingFaceInstructEmbeddings(model_name=\"hkunlp/instructor-xl\",\n",
        "                                                      model_kwargs={\"device\": \"cuda\"})"
      ],
      "metadata": {
        "id": "KVKwdHyjDl4y"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install  InstructorEmbedding"
      ],
      "metadata": {
        "id": "RAfgdGtLRUEC"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip -q install  sentence_transformers"
      ],
      "metadata": {
        "id": "Dit5usq-RUGZ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install pinecone-client -q"
      ],
      "metadata": {
        "id": "TPlN5V3JRUIx"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"helloow\")"
      ],
      "metadata": {
        "id": "dAwB9d4A0hIL"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}