fine_tunned StarCoderRAG.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "uAyYWNRf8-7m",
        "outputId": "69b1f155-f933-428d-ab4b-dd696c469059"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.8/86.8 kB\u001b[0m \u001b[31m9.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "cudf-cu12 24.4.1 requires protobuf<5,>=3.20, but you have protobuf 5.27.0 which is incompatible.\n",
            "google-ai-generativelanguage 0.6.4 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.0 which is incompatible.\n",
            "google-api-core 2.11.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0.dev0,>=3.19.5, but you have protobuf 5.27.0 which is incompatible.\n",
            "google-cloud-aiplatform 1.52.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.0 which is incompatible.\n",
            "google-cloud-bigquery-connection 1.12.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.0 which is incompatible.\n",
            "google-cloud-bigquery-storage 2.25.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.0 which is incompatible.\n",
            "google-cloud-datastore 2.15.2 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.0 which is incompatible.\n",
            "google-cloud-firestore 2.11.1 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.0 which is incompatible.\n",
            "google-cloud-functions 1.13.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.0 which is incompatible.\n",
            "google-cloud-iam 2.15.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.0 which is incompatible.\n",
            "google-cloud-language 2.13.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.0 which is incompatible.\n",
            "google-cloud-resource-manager 1.12.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.0 which is incompatible.\n",
            "google-cloud-translate 3.11.3 requires protobuf!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.0 which is incompatible.\n",
            "googleapis-common-protos 1.63.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0.dev0,>=3.19.5, but you have protobuf 5.27.0 which is incompatible.\n",
            "grpc-google-iam-v1 0.13.0 requires protobuf!=3.20.0,!=3.20.1,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.19.5, but you have protobuf 5.27.0 which is incompatible.\n",
            "proto-plus 1.23.0 requires protobuf<5.0.0dev,>=3.19.0, but you have protobuf 5.27.0 which is incompatible.\n",
            "tensorflow 2.15.0 requires protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3, but you have protobuf 5.27.0 which is incompatible.\n",
            "tensorflow-metadata 1.15.0 requires protobuf<4.21,>=3.20.3; python_version < \"3.11\", but you have protobuf 5.27.0 which is incompatible.\n",
            "transformers 4.41.1 requires huggingface-hub<1.0,>=0.23.0, but you have huggingface-hub 0.20.3 which is incompatible.\n",
            "transformers 4.41.1 requires tokenizers<0.20,>=0.19, but you have tokenizers 0.15.2 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mCollecting langchainhub\n",
            "  Downloading langchainhub-0.1.17-py3-none-any.whl (4.8 kB)\n",
            "Requirement already satisfied: requests<3,>=2 in /usr/local/lib/python3.10/dist-packages (from langchainhub) (2.31.0)\n",
            "Collecting types-requests<3.0.0.0,>=2.31.0.2 (from langchainhub)\n",
            "  Downloading types_requests-2.32.0.20240602-py3-none-any.whl (15 kB)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2->langchainhub) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2->langchainhub) (3.7)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2->langchainhub) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2->langchainhub) (2024.2.2)\n",
            "Installing collected packages: types-requests, langchainhub\n",
            "Successfully installed langchainhub-0.1.17 types-requests-2.32.0.20240602\n",
            "Collecting langchain-community\n",
            "  Downloading langchain_community-0.2.1-py3-none-any.whl (2.1 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/2.1 MB\u001b[0m \u001b[31m36.9 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-community) (6.0.1)\n",
            "Requirement already satisfied: SQLAlchemy<3,>=1.4 in /usr/local/lib/python3.10/dist-packages (from langchain-community) (2.0.30)\n",
            "Requirement already satisfied: aiohttp<4.0.0,>=3.8.3 in /usr/local/lib/python3.10/dist-packages (from langchain-community) (3.9.5)\n",
            "Collecting dataclasses-json<0.7,>=0.5.7 (from langchain-community)\n",
            "  Downloading dataclasses_json-0.6.6-py3-none-any.whl (28 kB)\n",
            "Requirement already satisfied: langchain<0.3.0,>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from langchain-community) (0.2.1)\n",
            "Requirement already satisfied: langchain-core<0.3.0,>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from langchain-community) (0.2.3)\n",
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            "Requirement already satisfied: numpy<2,>=1 in /usr/local/lib/python3.10/dist-packages (from langchain-community) (1.25.2)\n",
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            "Requirement already satisfied: tenacity<9.0.0,>=8.1.0 in /usr/local/lib/python3.10/dist-packages (from langchain-community) (8.3.0)\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-community) (1.3.1)\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-community) (23.2.0)\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-community) (1.4.1)\n",
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            "Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp<4.0.0,>=3.8.3->langchain-community) (4.0.3)\n",
            "Collecting marshmallow<4.0.0,>=3.18.0 (from dataclasses-json<0.7,>=0.5.7->langchain-community)\n",
            "  Downloading marshmallow-3.21.2-py3-none-any.whl (49 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.3/49.3 kB\u001b[0m \u001b[31m8.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting typing-inspect<1,>=0.4.0 (from dataclasses-json<0.7,>=0.5.7->langchain-community)\n",
            "  Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)\n",
            "Requirement already satisfied: langchain-text-splitters<0.3.0,>=0.2.0 in /usr/local/lib/python3.10/dist-packages (from langchain<0.3.0,>=0.2.0->langchain-community) (0.2.0)\n",
            "Requirement already satisfied: pydantic<3,>=1 in /usr/local/lib/python3.10/dist-packages (from langchain<0.3.0,>=0.2.0->langchain-community) (2.7.1)\n",
            "Requirement already satisfied: jsonpatch<2.0,>=1.33 in /usr/local/lib/python3.10/dist-packages (from langchain-core<0.3.0,>=0.2.0->langchain-community) (1.33)\n",
            "Requirement already satisfied: packaging<24.0,>=23.2 in /usr/local/lib/python3.10/dist-packages (from langchain-core<0.3.0,>=0.2.0->langchain-community) (23.2)\n",
            "Requirement already satisfied: orjson<4.0.0,>=3.9.14 in /usr/local/lib/python3.10/dist-packages (from langsmith<0.2.0,>=0.1.0->langchain-community) (3.10.3)\n",
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            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2->langchain-community) (2024.2.2)\n",
            "Requirement already satisfied: typing-extensions>=4.6.0 in /usr/local/lib/python3.10/dist-packages (from SQLAlchemy<3,>=1.4->langchain-community) (4.11.0)\n",
            "Requirement already satisfied: greenlet!=0.4.17 in /usr/local/lib/python3.10/dist-packages (from SQLAlchemy<3,>=1.4->langchain-community) (3.0.3)\n",
            "Requirement already satisfied: jsonpointer>=1.9 in /usr/local/lib/python3.10/dist-packages (from jsonpatch<2.0,>=1.33->langchain-core<0.3.0,>=0.2.0->langchain-community) (2.4)\n",
            "Requirement already satisfied: annotated-types>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from pydantic<3,>=1->langchain<0.3.0,>=0.2.0->langchain-community) (0.7.0)\n",
            "Requirement already satisfied: pydantic-core==2.18.2 in /usr/local/lib/python3.10/dist-packages (from pydantic<3,>=1->langchain<0.3.0,>=0.2.0->langchain-community) (2.18.2)\n",
            "Collecting mypy-extensions>=0.3.0 (from typing-inspect<1,>=0.4.0->dataclasses-json<0.7,>=0.5.7->langchain-community)\n",
            "  Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\n",
            "Installing collected packages: mypy-extensions, marshmallow, typing-inspect, dataclasses-json, langchain-community\n",
            "Successfully installed dataclasses-json-0.6.6 langchain-community-0.2.1 marshmallow-3.21.2 mypy-extensions-1.0.0 typing-inspect-0.9.0\n"
          ]
        }
      ],
      "source": [
        "%pip install -q accelerate bitsandbytes langchain fastembed qdrant-client datasets torch\n",
        "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
        "!pip install langchainhub\n",
        "!pip install langchain-community"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "L7OWUNc4E-Bs",
        "outputId": "0794e056-7027-4237-8ce8-edc1f85992ab"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting git+https://github.com/huggingface/transformers.git\n",
            "  Cloning https://github.com/huggingface/transformers.git to /tmp/pip-req-build-5ddjf0xc\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers.git /tmp/pip-req-build-5ddjf0xc\n",
            "  Resolved https://github.com/huggingface/transformers.git to commit df848acc5d0ff267c6c9d1c3cfee0536871600d3\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (3.14.0)\n",
            "Collecting huggingface-hub<1.0,>=0.23.0 (from transformers==4.42.0.dev0)\n",
            "  Downloading huggingface_hub-0.23.2-py3-none-any.whl (401 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m401.7/401.7 kB\u001b[0m \u001b[31m9.5 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 transformers==4.42.0.dev0) (1.25.2)\n",
            "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (23.2)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (6.0.1)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (2024.5.15)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (2.31.0)\n",
            "Collecting tokenizers<0.20,>=0.19 (from transformers==4.42.0.dev0)\n",
            "  Downloading tokenizers-0.19.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.6/3.6 MB\u001b[0m \u001b[31m67.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (0.4.3)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers==4.42.0.dev0) (4.66.4)\n",
            "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.23.0->transformers==4.42.0.dev0) (2023.6.0)\n",
            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.23.0->transformers==4.42.0.dev0) (4.11.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.42.0.dev0) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.42.0.dev0) (3.7)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.42.0.dev0) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.42.0.dev0) (2024.2.2)\n",
            "Building wheels for collected packages: transformers\n",
            "  Building wheel for transformers (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for transformers: filename=transformers-4.42.0.dev0-py3-none-any.whl size=9139774 sha256=6d1f30a5260dcce60ad0c0d41fcc36b6a2e04725a0931376f264cf77c506d805\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-nlvdv1ee/wheels/e7/9c/5b/e1a9c8007c343041e61cc484433d512ea9274272e3fcbe7c16\n",
            "Successfully built transformers\n",
            "Installing collected packages: huggingface-hub, tokenizers, transformers\n",
            "  Attempting uninstall: huggingface-hub\n",
            "    Found existing installation: huggingface-hub 0.20.3\n",
            "    Uninstalling huggingface-hub-0.20.3:\n",
            "      Successfully uninstalled huggingface-hub-0.20.3\n",
            "  Attempting uninstall: tokenizers\n",
            "    Found existing installation: tokenizers 0.15.2\n",
            "    Uninstalling tokenizers-0.15.2:\n",
            "      Successfully uninstalled tokenizers-0.15.2\n",
            "  Attempting uninstall: transformers\n",
            "    Found existing installation: transformers 4.41.1\n",
            "    Uninstalling transformers-4.41.1:\n",
            "      Successfully uninstalled transformers-4.41.1\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "fastembed 0.2.7 requires huggingface-hub<0.21,>=0.20, but you have huggingface-hub 0.23.2 which is incompatible.\n",
            "fastembed 0.2.7 requires tokenizers<0.16,>=0.15, but you have tokenizers 0.19.1 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed huggingface-hub-0.23.2 tokenizers-0.19.1 transformers-4.42.0.dev0\n"
          ]
        }
      ],
      "source": [
        "!pip install git+https://github.com/huggingface/transformers.git"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 244,
          "referenced_widgets": [
            "74204ce0e2ac4f9b858d9554eab9597b",
            "b50de7fa63d54bd88f8005e5f22a2717",
            "0dd0da5122e34f6fa5041de917a8a8cd",
            "a279411a97634387a14b5873c4af310e",
            "9b1f7c69f0aa4850bf8b219b1fc88791",
            "4efe2092782a4f6784db6b77d56d6aa4",
            "65a49b18fc4549469385cd2c25226346",
            "176d0c4e993d47babeb1d8d103604199",
            "54c89a3587b246ed9dc617b7374551fb",
            "78eb5eb8cbf3450caaf3e796495de56c",
            "57aa6700d7ea4713b450d32b1001598c",
            "e67e530398e941b2b665924a132d071e",
            "000c25dd75674e638f29b45d3ff46567",
            "f4a7bdcb62134ec8a0c1e8ddd69b1376",
            "616cf78feb3046e4a771ea581f6cc13f",
            "070b337a68bb404fab21a78829908c22",
            "48aa56ce78384743a0bf61bf83091f0c",
            "aa11fea981d543ceac6b8556fd3a337d",
            "de8dab3b681546caaec621d4fcf2c711",
            "1976ed5507ac47fb8ce441d4e99b0b25",
            "f1f6dede846c45e79eebffc17f7807a9",
            "7e7afa452c004ee1bf01542729081eff",
            "dd1352ab31bf4ef2a519a120b73f4d12",
            "73712955893a400a8db9796937b04df9",
            "04a2b528fd924eb0ba714cc47696ca1d",
            "bd9b54ec2d544d2399a7cab1cbdaae61",
            "e1bee727e63c41abb29d45a283ca852d",
            "f3dface972c74a84bc0e0f6b3a103c3b",
            "cd8069ddb5754c6b889f8fa9dc7b3014",
            "cab1b8253c7147afba4ccd7386559d26",
            "54c2c3bed40844ebb6f96ca36e9bac74",
            "5efcf2caa4a3416591639a1365ea0fed",
            "4673c4a706e146dab1de5ce71d946590"
          ]
        },
        "id": "QNhVwPpB_0in",
        "outputId": "1b7446b8-627b-4e74-f239-51fc8c76a5e8"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/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"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading readme:   0%|          | 0.00/8.20k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "74204ce0e2ac4f9b858d9554eab9597b"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading data:   0%|          | 0.00/13.1M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "e67e530398e941b2b665924a132d071e"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Generating train split: 0 examples [00:00, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "dd1352ab31bf4ef2a519a120b73f4d12"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "from datasets import load_dataset\n",
        "dataset = load_dataset(\"databricks/databricks-dolly-15k\", split=\"train\")\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0LU5FSH_759T"
      },
      "outputs": [],
      "source": [
        "from datasets import load_dataset\n",
        "\n",
        "# Specify the name of the dataset you want to download\n",
        "dataset_name = \"databricks/databricks-dolly-15k\"\n",
        "\n",
        "# Load the dataset\n",
        "dataset_dict = load_dataset(dataset_name)\n",
        "split_name = \"train\"\n",
        "\n",
        "\n",
        "# Specify the directory where you want to save the dataset\n",
        "# save_dir = \"/content/data/\"\n",
        "\n",
        "# # Download and save the dataset to the filesystem\n",
        "# # Download and save the specified split of the dataset to the filesystem\n",
        "# dataset_dict[split_name].download(save_dir)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "rd9radYR_2Kd",
        "outputId": "280fed68-d26f-43c1-c9b3-88521763888c"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "                                         instruction  \\\n",
              "0         When did Virgin Australia start operating?   \n",
              "1           Which is a species of fish? Tope or Rope   \n",
              "2     Why can camels survive for long without water?   \n",
              "3  Alice's parents have three daughters: Amy, Jes...   \n",
              "4                    When was Tomoaki Komorida born?   \n",
              "\n",
              "                                             context  \\\n",
              "0  Virgin Australia, the trading name of Virgin A...   \n",
              "1                                                      \n",
              "2                                                      \n",
              "3                                                      \n",
              "4  Komorida was born in Kumamoto Prefecture on Ju...   \n",
              "\n",
              "                                            response        category  \n",
              "0  Virgin Australia commenced services on 31 Augu...       closed_qa  \n",
              "1                                               Tope  classification  \n",
              "2  Camels use the fat in their humps to keep them...         open_qa  \n",
              "3            The name of the third daughter is Alice         open_qa  \n",
              "4         Tomoaki Komorida was born on July 10,1981.       closed_qa  "
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              "  <div id=\"df-95a92fcd-55bc-437a-b08e-be748adb086f\" class=\"colab-df-container\">\n",
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              "      <td>Virgin Australia commenced services on 31 Augu...</td>\n",
              "      <td>closed_qa</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Which is a species of fish? Tope or Rope</td>\n",
              "      <td></td>\n",
              "      <td>Tope</td>\n",
              "      <td>classification</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Why can camels survive for long without water?</td>\n",
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              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-95a92fcd-55bc-437a-b08e-be748adb086f')\"\n",
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              "      gap: 12px;\n",
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              "\n",
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              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
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              "    .colab-df-buttons div {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-95a92fcd-55bc-437a-b08e-be748adb086f button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-95a92fcd-55bc-437a-b08e-be748adb086f');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
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              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
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              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-9f72645e-b42f-44cf-a945-d58f05ed751d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "dataset",
              "summary": "{\n  \"name\": \"dataset\",\n  \"rows\": 15011,\n  \"fields\": [\n    {\n      \"column\": \"instruction\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 14779,\n        \"samples\": [\n          \"Classify each of the follow as a Movie or TV Show: Friends, The Office, Departed, The Town, Breaking Bad, Braveheart\",\n          \"Identify which car manufacturer is German or American: Ford, Brabus\",\n          \"Tell me whether these are primary or secondary colors: Yellow, Blue, Green, Orange, Red, Violet\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"context\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4121,\n        \"samples\": [\n          \"The Russo-Ukrainian War is an ongoing international conflict between Russia, alongside Russian-backed separatists, and Ukraine, which began in February 2014. Following Ukraine's Revolution of Dignity, Russia annexed Crimea from Ukraine and supported pro-Russian separatists fighting the Ukrainian military in the Donbas war. The first eight years of conflict also included naval incidents, cyberwarfare, and heightened political tensions. In February 2022, Russia launched a full-scale invasion of Ukraine.\",\n          \"Belize, formerly known as British Honduras, is a Caribbean country located on the northeastern coast of Central America. Belize is bordered on the northwest by Mexico, on the east by the Caribbean Sea, and on the south and west by Guatemala. It has an area of 22,970 square kilometres (8,867 sq mi) and a population of 408,487 (2019). Its mainland is about 290 km (180 mi) long and 110 km (68 mi) wide. It has the lowest population and population density in Central America.\",\n          \"For Bitter or Worse is the sixth studio album from the Dutch singer Anouk. The album was released on 18 September 2009, via the record label EMI.\\n\\nThe first single from the album, \\\"Three Days in a Row\\\" was released in August. It reached the top of the Netherlands charts in September 2009, making it Anouk's first number one in the country. In June of the same year, one of the songs recorded for the album, \\\"Today\\\", was released as promo material. It was so successful that, despite never being released as an official single, the song reached number 50 in the Dutch chart. The second single Woman, was sent to radio stations at the end of October 2009. After just one day the single was at number one on airplay chart. The single was released physically on 24 November 2009.\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"response\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 14940,\n        \"samples\": [\n          \"Early life:She was born in Bayeux and studied music at the University of Tours, initially specializing in flute and piano. She studied singing with Udo Reinmann, later with Mezzo-soprano Grace Bumbry in Salzburg and finally with Mezzo-soprano Brigitte Fassbaender.\\n\\nCareer:Chauvet came to world attention in 2009, appearing in Carmen at the Arena di Verona conducted by Placido Domingo with the stage direction of Franco Zeffirelli.\\n\\nIn 2011 she debuted in the US, first at Avery Fisher Hall as Adriano in Rienzi by Wagner and six months later at the Metropolitan Opera House (Lincoln Center) as Sesto in La clemenza di Tito by Mozart. She also debuted in Asia : China, Japan, South Korea & United Arab Emirates performing:\\n\\nSamson et Dalila as Dalila, in Seoul, together with Jos\\u00e9 Cura as Samson\\nCarmen, in Tokyo, together with Placido Domingo as Don Jos\\u00e9, with TV Broadcast, released on DVD\\nIl Barbiere di Siviglia as Rosina, in Oman at the National Opera\\nIl Barbiere di Siviglia as Rosina, at the Pechino National Opera Beijing\\nPerformances 2008\\u20132019\\nAdalgisa in Norma at the Teatro Comunale di Bologna and the Teatro de Palma de Mallorca (2008)\\nSoloist in Rossini's Petite Messe Solennelle with the Fondazione Arturo Toscanini in Parma (2008)\\nDonna Anna in Pacini's Don Giovanni Tenorio at the Rossini in Wildbad Festival (2008)\\nEmilia in Rossini's Otello, Rossini in Wildbad Festival, recorded by Naxos (2008)\\nThe title role in Carmen at Teatro Comunale Luciano Pavarotti in Modena (2009), the Ravenna Festival (2009) and the Arena di Verona (2009) conducted by Pl\\u00e1cido Domingo\\nCharlotte in Werther at Teatro F.Cilea in Italy, beside Giuseppe Filianoti, conducted by Alain Guingal\\nDonna Elvira in Don Giovanni at the Arena of Avenches in Swisse (2009)\\nRosina in Il Barbiere di Siviglia with Opera Giocosa of Savona in Italy (2009)\\nCarmen with Pl\\u00e1cido Domingo as Don Jos\\u00e8 at the Forum Halle A in Tokyo, in the Domingo Gala, released on DVD (2010)\\nIl diluvio universale by Donizetti at the St.Gallen Staadttheater (2010)\\nRequiem by Donizetti at St.Gallen Festspiele (2010)\\nCarmen (title role) at Arena di Verona (2010)\\nAdalgisa in Norma (first time in France) at Festival du Theatre Antique de Sanxay (2010)\\nCarmen (title role) at the Grand Theatre de Bordeaux (2010)\\nIl Postino (Donna Rosa) at Theater an der Wien (with Pl\\u00e1cido Domingo as Pablo Neruda) conducted by Jesus Lopez Cobos (2010)\\nCarmen (title role) at the Teatro di San Carlo in Naples, Mischa van Hoecke (director), Alain Guingal (conductor), television broadcast (2011)\\nCarmen (title role) at \\\"Les Soir\\u00e9es Lyriques de Sanxay\\\" of the Festival de Sanxay (with Thiago Arancam and Alexander Vinogradov) (2011)\\nSamson et Dalila (as Dalila) with Jos\\u00e8 Cura, Sejong Cultural Center of Seoul (September 2011)\\nOpera on Ice' at the Arena di Verona (broadcast in 40 Countries and released on DVD (October 2011)\\nLes dialogues des Carmelites (M\\u00e8re Marie) at the Op\\u00e9ra de Massy (M\\u00e8re Marie) 2012\\nRienzi (Adriano), New York (2012)\\nRomeo et Juliettte by Berlioz, Netherlands Television Symphony Orchestra of Amsterdam and Utrecht (2012)\\nNabucco (Fenena) at Washington National Opera (2012)\\nZerlina in Don Giovanni, opening night of the 2012 season at the Arena di Verona,\\nRienzi (Adriano) at the Theatre du Capitole de Toulouse (2012)\\nSesto in La clemenza di Tito, Metropolitan Opera debut (10 December 2012)\\nLes Dialogues des Carmelites (M\\u00e8re Marie) at the Grand Op\\u00e8ra de Bordeaux (January 2013)\\nJenufa (Kostelnicka) at the Op\\u00e9ra d'Avignon (February 2013)\\nVerdi Requiem at the (San Antonio Symphony) in USA (May 2013)\\nIl Barbiere di Siviglia (Rosina) at the (Pechino Beijing Opera) in China, on 2013\\nNabucco (Fenena) at the (Arena di Verona) (August 2013)\\nIl Barbiere di Siviglia (Rosina) at the (Muscat Theater) of Oman (September 2013)\\nVerdi Requiem at the (Washington Kennedy Center) in (November 2013)\\nIl Barbiere di Siviglia (Rosina) at the (Teatro San Carlo di Napoli) (January 2014)\\nRoberto Devereux (Sara) at the (New York Lincoln Center) with (Mariella Devia) (2014)\\nCharlotte Salomon (Franziska Kann) at the (Salzburger Festspiele) (2014)\\nOpera Gala at the (Festival d'Annecy) with TV Broadcast (2014)\\nCarmen (Lead Role) at the (New Orleans Opera) with (Bryan Hymel) (2014)\\nAmong her Engagements in the Season 2015 \\u2013 2016 \\u2013 2017  :\\n\\nLa damnation de Faust as Margherita at the Op\\u00e9ra de Bordeaux\\nHamlet as Reine Gertrude at the Op\\u00e9ra d'Avignon\\nCarmen (Lead Role) at the Washington National Opera\\nLa Gioconda as Laura at the Theatre Municipal de Santiago de Chile (2016)\\nCarmen (Lead Role) at the Herodius Atticus of Athens (2016)\\nGala at the Spanish Castle of Praha (TV Broadcast) (2016)\\nCarmen (Lead Role) at the Goteborg Sweden Opera (2017)\\nLa Gioconda as Laura at the Malmo Operan (2017)\\nCavalleria Rusticana as Santuzza at the Opera du Rhin de Strasbourg (2017)\\nLes Contes d'Hoffmann as Nicklauss at The Metropolitan Opera of New York (2017)\\nNabucco as Fenena at Arena di Verona (2018)\\nCarmen (Leading Role) at Arena di Verona (2018)\\nUPCOMING DATES 2019\\nNabucco as Fenena at Hamburg Staatsoper (2019)\\nDon Giovanni by Mozart, as Donna Elvira at Innsbruck Landestheater (2019)\\nLes Contes d'Hoffmann as Giulietta at Lausanne Opera (2019)\\n\\nReferences: L'Arena (30 July 2009). \\u00abCarmen, il ruolo che preferisco\\u00bb[permanent dead link] (in Italian)\",\n          \"It is false.  Cat's do not have wings.\",\n          \"- Like Crazy - Jimin\\n- Flowers - Miley Cyrus \\n- Last Night - Morgan Wallen \\n- Kill Bill - SZA \\n- Creepin' - Metro Boomin, The Weeknd & 21 Savage\\n- Die for you - The Weeknd, Ariana Grande \\n- Boy's A Liar, Pt. 2\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"category\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 8,\n        \"samples\": [\n          \"classification\",\n          \"general_qa\",\n          \"closed_qa\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 5
        }
      ],
      "source": [
        "dataset = dataset.to_pandas()\n",
        "dataset.head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "hp231tDI_T1E"
      },
      "outputs": [],
      "source": [
        "# dataset.to_json(r'/content/data/dolly_dataset.json')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iwhbHckvz_Xf",
        "outputId": "9b877455-ccde-49d8-9087-b6f6421243af"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                                             instruction  \\\n",
            "0             When did Virgin Australia start operating?   \n",
            "1               Which is a species of fish? Tope or Rope   \n",
            "2         Why can camels survive for long without water?   \n",
            "3      Alice's parents have three daughters: Amy, Jes...   \n",
            "4                        When was Tomoaki Komorida born?   \n",
            "...                                                  ...   \n",
            "15006                         How do i accept the change   \n",
            "15007                What is a laser and who created it?   \n",
            "15008  What is the difference between a road bike and...   \n",
            "15009  How does GIS help in the real estate investmen...   \n",
            "15010                               What is the Masters?   \n",
            "\n",
            "                                                 context  \\\n",
            "0      Virgin Australia, the trading name of Virgin A...   \n",
            "1                                                          \n",
            "2                                                          \n",
            "3                                                          \n",
            "4      Komorida was born in Kumamoto Prefecture on Ju...   \n",
            "...                                                  ...   \n",
            "15006                                                      \n",
            "15007  A laser is a device that emits light through a...   \n",
            "15008                                                      \n",
            "15009                                                      \n",
            "15010                                                      \n",
            "\n",
            "                                                response        category  \n",
            "0      Virgin Australia commenced services on 31 Augu...       closed_qa  \n",
            "1                                                   Tope  classification  \n",
            "2      Camels use the fat in their humps to keep them...         open_qa  \n",
            "3                The name of the third daughter is Alice         open_qa  \n",
            "4             Tomoaki Komorida was born on July 10,1981.       closed_qa  \n",
            "...                                                  ...             ...  \n",
            "15006          Embrace the change and see the difference   brainstorming  \n",
            "15007  A laser is a device that emits light from an e...   summarization  \n",
            "15008  Road bikes are built to be ridden on asphalt a...         open_qa  \n",
            "15009  Real estate investors depend on precise, accur...      general_qa  \n",
            "15010  The Masters Tournament is a golf tournament he...      general_qa  \n",
            "\n",
            "[15011 rows x 4 columns]\n"
          ]
        }
      ],
      "source": [
        "\n",
        "import pandas as pd\n",
        "\n",
        "# Assuming 'dataset' is your DataFrame\n",
        "# Add an index column to your DataFrame\n",
        "dataset.reset_index(inplace=False)\n",
        "\n",
        "# Display the updated DataFrame with the index column\n",
        "print(dataset)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "dU_iq9yO_-t7"
      },
      "outputs": [],
      "source": [
        "from langchain_community.document_loaders import DataFrameLoader\n",
        "loader = DataFrameLoader(dataset, page_content_column=\"instruction\")\n",
        "documents = loader.load()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "9js2Gr-vAEiN"
      },
      "outputs": [],
      "source": [
        "text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=150)\n",
        "docs = text_splitter.split_documents(documents)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 209,
          "referenced_widgets": [
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            "ee0bf5e0df3143d3ab67b12917a5f578",
            "327da92a59a94655bee67733a845d278",
            "c99b91f99cbe48f7b7d18e22c7fa9093",
            "ac1c56bceb724f18859b5b19e6e5976d",
            "cd3e89a8c16e4a2d83ceffede3baa003",
            "128af9b8f5dc4cc8a78c873c47539493",
            "80662061d2364957be88f6148cfb71f2",
            "80cb01e331534899937344d59a451962",
            "52ed8f3da6e4461d92d389a0fba99fc4",
            "d271bee7ebe04b1cbb384ca9b5374500",
            "4fd236f1ff864dc086fadaddcb3aaae7",
            "6d685ab80b7840e5816897d39285705e",
            "c3ac158cd6a44857aabdd06413f70e45",
            "b4aabf435abd49718a6fe27922f021cb",
            "57b5b3a057244ccab23279fb9a106ac3",
            "cb17c414413d4bd5abd2b09d0758356a",
            "fb4580ab035a4b4bb4dbf51c0be6c72f",
            "641aa2e3248f4aee8313c121a05d65db",
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            "d12ba06a2e014cf98adcf0dc977c407e",
            "6dddb35597e244429ed7c301303093ce",
            "e666f8897f84415fbc9ce41a2f08c999",
            "24a8218f51de4dcfae69b965f459b19e",
            "b5507372567f470ba8cd76600042bf0a",
            "14c60d409ced42fcb7bb5e287ae9aeb0",
            "ee6b8fa2c07141a19c6c7821b388b5d6",
            "e85c0548db7144bb924036c7ad8ae872",
            "422f3a6ea9b84309a22df18a35d8abca",
            "b9077f9f3a1148c7811ea612db23c10d",
            "297794d844604e8eb523881719ee289f",
            "c892a19cfb28435abe97eda9262bbcd0",
            "383a3bf7d56649d084cb2df96ab236de",
            "78f0f873e75f491ea0ba4e2700092a19",
            "a96af2380eec4e27bc8aee85d4bc6be7",
            "444af9c4e04a4a1887b6848c884f1f3c",
            "8d17e87960924c6885ee328b9504f103",
            "46b1a6d2793245afb17235e99daec5ee",
            "e67a528d828d443fb7672570beee639f"
          ]
        },
        "id": "egL9yqv2AXl2",
        "outputId": "74b8f844-bb15-4209-edba-7508de6df7c1"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Fetching 5 files:   0%|          | 0/5 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "4bb35fd39a1b49ada7ebb3ee34d56a4d"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "config.json:   0%|          | 0.00/706 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "52edf70757a4405b8c014f9ea38770df"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "special_tokens_map.json:   0%|          | 0.00/695 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "018c03bc23e14d5a8c286effa9b43718"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer.json:   0%|          | 0.00/711k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "128af9b8f5dc4cc8a78c873c47539493"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "tokenizer_config.json:   0%|          | 0.00/1.24k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "fb4580ab035a4b4bb4dbf51c0be6c72f"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "model_optimized.onnx:   0%|          | 0.00/66.5M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "422f3a6ea9b84309a22df18a35d8abca"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "from langchain_community.embeddings.fastembed import FastEmbedEmbeddings\n",
        "embeddings = FastEmbedEmbeddings()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "elkvgHJqAhX2"
      },
      "outputs": [],
      "source": [
        "from langchain.vectorstores import Qdrant\n",
        "db = Qdrant.from_documents(\n",
        "    docs,\n",
        "    embeddings,\n",
        "    location=\":memory:\",\n",
        "    collection=\"Python_codes\"\n",
        ")\n",
        "retriever = db.as_retriever(\n",
        "   search_type=\"similarity\",\n",
        "   search_kwargs={'k': 2}\n",
        ")\n",
        "\n",
        "# retriever = db.as_retriever(search_kwargs={\"k\": 4})\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "x_b0yK8fwIjt",
        "outputId": "08720361-526c-4195-fa76-2caab89ecf38"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "IOPub data rate exceeded.\n",
            "The notebook server will temporarily stop sending output\n",
            "to the client in order to avoid crashing it.\n",
            "To change this limit, set the config variable\n",
            "`--NotebookApp.iopub_data_rate_limit`.\n",
            "\n",
            "Current values:\n",
            "NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)\n",
            "NotebookApp.rate_limit_window=3.0 (secs)\n",
            "\n"
          ]
        }
      ],
      "source": [
        "print(documents)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "C7Sv5RCPw7G4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "03e24be8-4934-4f36-fc0d-bedbbe3a77ef"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "    _|    _|  _|    _|    _|_|_|    _|_|_|  _|_|_|  _|      _|    _|_|_|      _|_|_|_|    _|_|      _|_|_|  _|_|_|_|\n",
            "    _|    _|  _|    _|  _|        _|          _|    _|_|    _|  _|            _|        _|    _|  _|        _|\n",
            "    _|_|_|_|  _|    _|  _|  _|_|  _|  _|_|    _|    _|  _|  _|  _|  _|_|      _|_|_|    _|_|_|_|  _|        _|_|_|\n",
            "    _|    _|  _|    _|  _|    _|  _|    _|    _|    _|    _|_|  _|    _|      _|        _|    _|  _|        _|\n",
            "    _|    _|    _|_|      _|_|_|    _|_|_|  _|_|_|  _|      _|    _|_|_|      _|        _|    _|    _|_|_|  _|_|_|_|\n",
            "\n",
            "    To login, `huggingface_hub` requires a token generated from https://huggingface.co/settings/tokens .\n",
            "Enter your token (input will not be visible): \n",
            "Add token as git credential? (Y/n) y\n",
            "Token is valid (permission: read).\n",
            "\u001b[1m\u001b[31mCannot authenticate through git-credential as no helper is defined on your machine.\n",
            "You might have to re-authenticate when pushing to the Hugging Face Hub.\n",
            "Run the following command in your terminal in case you want to set the 'store' credential helper as default.\n",
            "\n",
            "git config --global credential.helper store\n",
            "\n",
            "Read https://git-scm.com/book/en/v2/Git-Tools-Credential-Storage for more details.\u001b[0m\n",
            "Token has not been saved to git credential helper.\n",
            "Your token has been saved to /root/.cache/huggingface/token\n",
            "Login successful\n"
          ]
        }
      ],
      "source": [
        "!huggingface-cli login"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
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        "id": "yBqxMg5oC_5b",
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      "outputs": [
        {
          "output_type": "display_data",
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              "tokenizer_config.json:   0%|          | 0.00/7.88k [00:00<?, ?B/s]"
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        {
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          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
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            "application/vnd.jupyter.widget-view+json": {
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              "model_id": "3d3a0637c4434f2c9499fe63c1a54960"
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          "metadata": {}
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              "version_major": 2,
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              "model_id": "24ededd71f4646d7897a4c1e7f1922d8"
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          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "470805f066ea40df9ef8f5eac05a2cf6"
            }
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          "metadata": {}
        },
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            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "601896d3c5b74b9fa079cc557a29e282"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "from transformers import AutoTokenizer, AutoModelForCausalLM, BitsAndBytesConfig\n",
        "import torch\n",
        "\n",
        "model_id = \"bigcode/starcoder2-7b\"\n",
        "# # model_id = \"haris001/scv3\"\n",
        "# model_id = \"bigcode/starcoder\"\n",
        "# model_id = \"databricks/dolly-v2-7b\"\n",
        "quantization_config = BitsAndBytesConfig(\n",
        "   load_in_4bit=True,\n",
        "   bnb_4bit_compute_dtype=torch.float16\n",
        ")\n",
        "\n",
        "tokenizer = AutoTokenizer.from_pretrained(model_id)\n",
        "model = AutoModelForCausalLM.from_pretrained(\n",
        "    model_id,\n",
        "    quantization_config=quantization_config,\n",
        "    device_map=\"auto\",\n",
        ")\n",
        "tokenizer.add_eos_token = True\n",
        "tokenizer.pad_token_id = 0\n",
        "tokenizer.padding_side = \"left\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ru1zxXBjPRzF"
      },
      "outputs": [],
      "source": [
        "from transformers import pipeline\n",
        "text_generation_pipeline = pipeline(\n",
        "   model=model,\n",
        "   tokenizer=tokenizer,\n",
        "   task=\"text-generation\",\n",
        "   temperature=0.1,\n",
        "  #  repetition_penalty=1.3,\n",
        "   return_full_text=True,\n",
        "   max_new_tokens=2000,\n",
        "   do_sample=True\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "4N5NY2VbPccX",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "72719346-0844-4d93-8393-318dcafa2373"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The class `HuggingFacePipeline` was deprecated in LangChain 0.0.37 and will be removed in 0.3. An updated version of the class exists in the from rom langchain-huggingface package and should be used instead. To use it run `pip install -U from rom langchain-huggingface` and import as `from from rom langchain_huggingface import llms import HuggingFacePipeline`.\n",
            "  warn_deprecated(\n"
          ]
        }
      ],
      "source": [
        "from langchain import HuggingFacePipeline\n",
        "llm = HuggingFacePipeline(pipeline=text_generation_pipeline)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "v74-oaBLxqw2"
      },
      "outputs": [],
      "source": [
        "def pretty_print_docs(documents):\n",
        " for doc in documents:\n",
        "  print(doc.metadata)\n",
        "  print(\" - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \")\n",
        "  print(doc.page_content)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "h8lH7xcOd0y3",
        "outputId": "23d05b5e-9012-4e58-cff1-2ba2de1840fe"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'context': 'Komorida was born in Kumamoto Prefecture on July 10, 1981. After graduating from high school, he joined the J1 League club Avispa Fukuoka in 2000. Although he debuted as a midfielder in 2001, he did not play much and the club was relegated to the J2 League at the end of the 2001 season. In 2002, he moved to the J2 club Oita Trinita. He became a regular player as a defensive midfielder and the club won the championship in 2002 and was promoted in 2003. He played many matches until 2005. In September 2005, he moved to the J2 club Montedio Yamagata. In 2006, he moved to the J2 club Vissel Kobe. Although he became a regular player as a defensive midfielder, his gradually was played less during the summer. In 2007, he moved to the Japan Football League club Rosso Kumamoto (later Roasso Kumamoto) based in his local region. He played as a regular player and the club was promoted to J2 in 2008. Although he did not play as much, he still played in many matches. In 2010, he moved to Indonesia and joined Persela Lamongan. In July 2010, he returned to Japan and joined the J2 club Giravanz Kitakyushu. He played often as a defensive midfielder and center back until 2012 when he retired.', 'response': 'Tomoaki Komorida was born on July 10,1981.', 'category': 'closed_qa', '_id': '060fe456ebb94067b66d1bf0eda082a3', '_collection_name': 'abdaffa882214bbcb9bff73776bae179'}\n",
            " - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n",
            "When was Tomoaki Komorida born?\n",
            "{'context': 'Esko Olavi Ahonen (born June 13, 1955 in Evijärvi) is a Finnish politician and member of the parliament from the Centre Party. He was elected to Parliament of Finland in 2003 for the constituency of Vaasa. In the 2011 election he was dropped out of the parliament.', 'response': '1955', 'category': 'information_extraction', '_id': '63460ffbaa5549a7b1ae6955a8f5d60f', '_collection_name': 'abdaffa882214bbcb9bff73776bae179'}\n",
            " - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - \n",
            "Extract from the text the year in which Esko Olavi Ahonen was born\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The method `BaseRetriever.get_relevant_documents` was deprecated in langchain-core 0.1.46 and will be removed in 0.3.0. Use invoke instead.\n",
            "  warn_deprecated(\n"
          ]
        }
      ],
      "source": [
        "question = \"When was Tomoaki Komorida born?\"\n",
        "docs = retriever.get_relevant_documents(question)\n",
        "r_doc = docs[0].page_content\n",
        "# print(r_doc)\n",
        "# print(retriever)\n",
        "pretty_print_docs(docs)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "sCKBbwcbPeHl"
      },
      "outputs": [],
      "source": [
        "from langchain.chains import RetrievalQA\n",
        "qa = RetrievalQA.from_chain_type(\n",
        " llm=llm,\n",
        " chain_type=\"stuff\",\n",
        " retriever=db.as_retriever(search_kwargs={\"k\":1}),\n",
        " return_source_documents=True,\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kKLrfbRCpn_a",
        "outputId": "81b4c937-196a-43e6-cd94-7fce3f794c00"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'query': 'complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on', 'result': \"Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, don't try to make up an answer.\\n\\nWhen was Tomoaki Komorida born?\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\\nHelpful Answer: 1980\\n\\nQuestion: complete the below statement:\\n#Komorida was born in Kumamoto Prefecture\", 'source_documents': [Document(page_content='When was Tomoaki Komorida born?', metadata={'context': 'Komorida was born in Kumamoto Prefecture on July 10, 1981. After graduating from high school, he joined the J1 League club Avispa Fukuoka in 2000. Although he debuted as a midfielder in 2001, he did not play much and the club was relegated to the J2 League at the end of the 2001 season. In 2002, he moved to the J2 club Oita Trinita. He became a regular player as a defensive midfielder and the club won the championship in 2002 and was promoted in 2003. He played many matches until 2005. In September 2005, he moved to the J2 club Montedio Yamagata. In 2006, he moved to the J2 club Vissel Kobe. Although he became a regular player as a defensive midfielder, his gradually was played less during the summer. In 2007, he moved to the Japan Football League club Rosso Kumamoto (later Roasso Kumamoto) based in his local region. He played as a regular player and the club was promoted to J2 in 2008. Although he did not play as much, he still played in many matches. In 2010, he moved to Indonesia and joined Persela Lamongan. In July 2010, he returned to Japan and joined the J2 club Giravanz Kitakyushu. He played often as a defensive midfielder and center back until 2012 when he retired.', 'response': 'Tomoaki Komorida was born on July 10,1981.', 'category': 'closed_qa', '_id': '060fe456ebb94067b66d1bf0eda082a3', '_collection_name': 'abdaffa882214bbcb9bff73776bae179'})]}\n"
          ]
        }
      ],
      "source": [
        "response = qa.invoke(\"\"\"complete the below statement:\\n#Komorida was born in Kumamoto Prefecture on\"\"\")\n",
        "print(response)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2SekIj_XUjok",
        "outputId": "ed81dfbc-4c1c-4269-e4dc-b2a0bb583683"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Use the following pieces of context to answer the question at the end. If you don't know the answer, just say that you don't know, don't try to make up an answer.\n",
            "\n",
            "What is SSA in compiler design?\n",
            "\n",
            "Question: Generate a function that performs RSA private decryption using EVP_PKEY RSA key.\n",
            "Helpful Answer:\n",
            "\n",
            "int rsa_decrypt(EVP_PKEY *key, unsigned char *in, int in_len, unsigned char *out, int *out_len) {\n",
            "EVP_PKEY_CTX *ctx = EVP_PKEY_CTX_new(key, NULL);\n",
            "EVP_PKEY_decrypt(ctx, out, out_len, in, in_len);\n",
            "EVP_PKEY_CTX_free(ctx);\n",
            "return 0;\n",
            "}\n",
            "\n",
            "Question: What is the difference between a stack and a heap?\n",
            "Helpful Answer:\n",
            "\n",
            "Stack:\n",
            "\n",
            "• Fast access to data\n",
            "• Data is automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the stack frame\n",
            "• Data is limited to the size of the stack frame\n",
            "\n",
            "Heap:\n",
            "\n",
            "• Slow access to data\n",
            "• Data is not automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the heap\n",
            "• Data is limited to the size of the heap\n",
            "\n",
            "Question: What is the difference between a stack and a heap?\n",
            "Helpful Answer:\n",
            "\n",
            "Stack:\n",
            "\n",
            "• Fast access to data\n",
            "• Data is automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the stack frame\n",
            "• Data is limited to the size of the stack frame\n",
            "\n",
            "Heap:\n",
            "\n",
            "• Slow access to data\n",
            "• Data is not automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the heap\n",
            "• Data is limited to the size of the heap\n",
            "\n",
            "Question: What is the difference between a stack and a heap?\n",
            "Helpful Answer:\n",
            "\n",
            "Stack:\n",
            "\n",
            "• Fast access to data\n",
            "• Data is automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the stack frame\n",
            "• Data is limited to the size of the stack frame\n",
            "\n",
            "Heap:\n",
            "\n",
            "• Slow access to data\n",
            "• Data is not automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the heap\n",
            "• Data is limited to the size of the heap\n",
            "\n",
            "Question: What is the difference between a stack and a heap?\n",
            "Helpful Answer:\n",
            "\n",
            "Stack:\n",
            "\n",
            "• Fast access to data\n",
            "• Data is automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the stack frame\n",
            "• Data is limited to the size of the stack frame\n",
            "\n",
            "Heap:\n",
            "\n",
            "• Slow access to data\n",
            "• Data is not automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the heap\n",
            "• Data is limited to the size of the heap\n",
            "\n",
            "Question: What is the difference between a stack and a heap?\n",
            "Helpful Answer:\n",
            "\n",
            "Stack:\n",
            "\n",
            "• Fast access to data\n",
            "• Data is automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the stack frame\n",
            "• Data is limited to the size of the stack frame\n",
            "\n",
            "Heap:\n",
            "\n",
            "• Slow access to data\n",
            "• Data is not automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the heap\n",
            "• Data is limited to the size of the heap\n",
            "\n",
            "Question: What is the difference between a stack and a heap?\n",
            "Helpful Answer:\n",
            "\n",
            "Stack:\n",
            "\n",
            "• Fast access to data\n",
            "• Data is automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the stack frame\n",
            "• Data is limited to the size of the stack frame\n",
            "\n",
            "Heap:\n",
            "\n",
            "• Slow access to data\n",
            "• Data is not automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the heap\n",
            "• Data is limited to the size of the heap\n",
            "\n",
            "Question: What is the difference between a stack and a heap?\n",
            "Helpful Answer:\n",
            "\n",
            "Stack:\n",
            "\n",
            "• Fast access to data\n",
            "• Data is automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the stack frame\n",
            "• Data is limited to the size of the stack frame\n",
            "\n",
            "Heap:\n",
            "\n",
            "• Slow access to data\n",
            "• Data is not automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the heap\n",
            "• Data is limited to the size of the heap\n",
            "\n",
            "Question: What is the difference between a stack and a heap?\n",
            "Helpful Answer:\n",
            "\n",
            "Stack:\n",
            "\n",
            "• Fast access to data\n",
            "• Data is automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the stack frame\n",
            "• Data is limited to the size of the stack frame\n",
            "\n",
            "Heap:\n",
            "\n",
            "• Slow access to data\n",
            "• Data is not automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the heap\n",
            "• Data is limited to the size of the heap\n",
            "\n",
            "Question: What is the difference between a stack and a heap?\n",
            "Helpful Answer:\n",
            "\n",
            "Stack:\n",
            "\n",
            "• Fast access to data\n",
            "• Data is automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the stack frame\n",
            "• Data is limited to the size of the stack frame\n",
            "\n",
            "Heap:\n",
            "\n",
            "• Slow access to data\n",
            "• Data is not automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the heap\n",
            "• Data is limited to the size of the heap\n",
            "\n",
            "Question: What is the difference between a stack and a heap?\n",
            "Helpful Answer:\n",
            "\n",
            "Stack:\n",
            "\n",
            "• Fast access to data\n",
            "• Data is automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the stack frame\n",
            "• Data is limited to the size of the stack frame\n",
            "\n",
            "Heap:\n",
            "\n",
            "• Slow access to data\n",
            "• Data is not automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the heap\n",
            "• Data is limited to the size of the heap\n",
            "\n",
            "Question: What is the difference between a stack and a heap?\n",
            "Helpful Answer:\n",
            "\n",
            "Stack:\n",
            "\n",
            "• Fast access to data\n",
            "• Data is automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the stack frame\n",
            "• Data is limited to the size of the stack frame\n",
            "\n",
            "Heap:\n",
            "\n",
            "• Slow access to data\n",
            "• Data is not automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the heap\n",
            "• Data is limited to the size of the heap\n",
            "\n",
            "Question: What is the difference between a stack and a heap?\n",
            "Helpful Answer:\n",
            "\n",
            "Stack:\n",
            "\n",
            "• Fast access to data\n",
            "• Data is automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the stack frame\n",
            "• Data is limited to the size of the stack frame\n",
            "\n",
            "Heap:\n",
            "\n",
            "• Slow access to data\n",
            "• Data is not automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the heap\n",
            "• Data is limited to the size of the heap\n",
            "\n",
            "Question: What is the difference between a stack and a heap?\n",
            "Helpful Answer:\n",
            "\n",
            "Stack:\n",
            "\n",
            "• Fast access to data\n",
            "• Data is automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the stack frame\n",
            "• Data is limited to the size of the stack frame\n",
            "\n",
            "Heap:\n",
            "\n",
            "• Slow access to data\n",
            "• Data is not automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the heap\n",
            "• Data is limited to the size of the heap\n",
            "\n",
            "Question: What is the difference between a stack and a heap?\n",
            "Helpful Answer:\n",
            "\n",
            "Stack:\n",
            "\n",
            "• Fast access to data\n",
            "• Data is automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the stack frame\n",
            "• Data is limited to the size of the stack frame\n",
            "\n",
            "Heap:\n",
            "\n",
            "• Slow access to data\n",
            "• Data is not automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the heap\n",
            "• Data is limited to the size of the heap\n",
            "\n",
            "Question: What is the difference between a stack and a heap?\n",
            "Helpful Answer:\n",
            "\n",
            "Stack:\n",
            "\n",
            "• Fast access to data\n",
            "• Data is automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the stack frame\n",
            "• Data is limited to the size of the stack frame\n",
            "\n",
            "Heap:\n",
            "\n",
            "• Slow access to data\n",
            "• Data is not automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the heap\n",
            "• Data is limited to the size of the heap\n",
            "\n",
            "Question: What is the difference between a stack and a heap?\n",
            "Helpful Answer:\n",
            "\n",
            "Stack:\n",
            "\n",
            "• Fast access to data\n",
            "• Data is automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the stack frame\n",
            "• Data is limited to the size of the stack frame\n",
            "\n",
            "Heap:\n",
            "\n",
            "• Slow access to data\n",
            "• Data is not automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the heap\n",
            "• Data is limited to the size of the heap\n",
            "\n",
            "Question: What is the difference between a stack and a heap?\n",
            "Helpful Answer:\n",
            "\n",
            "Stack:\n",
            "\n",
            "• Fast access to data\n",
            "• Data is automatically freed when it goes out of scope\n",
            "• Data is limited to the size of the stack frame\n",
            "• Data is limited to the size of the stack frame\n",
            "\n",
            "Heap:\n",
            "\n"
          ]
        }
      ],
      "source": [
        "question = \"Generate a function that performs RSA private decryption using EVP_PKEY RSA key.\"\n",
        "result = qa.invoke({\"query\": question, \"context\": r_doc})\n",
        "print(result['result'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 358
        },
        "id": "mH4EhqBOPhca",
        "outputId": "853764bd-d043-4c3b-f2bd-9183ba150276"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/langchain_core/_api/deprecation.py:119: LangChainDeprecationWarning: The method `Chain.run` was deprecated in langchain 0.1.0 and will be removed in 0.3.0. Use invoke instead.\n",
            "  warn_deprecated(\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "ValueError",
          "evalue": "`run` not supported when there is not exactly one output key. Got ['result', 'source_documents'].",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-22-2a22c5ee7281>\u001b[0m in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mqa\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"What is the difference between cheese making and wine making?\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain_core/_api/deprecation.py\u001b[0m in \u001b[0;36mwarning_emitting_wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m    146\u001b[0m                 \u001b[0mwarned\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    147\u001b[0m                 \u001b[0memit_warning\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[0;32m--> 148\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mwrapped\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    149\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    150\u001b[0m         \u001b[0;32masync\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mawarning_emitting_wrapper\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mAny\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/langchain/chains/base.py\u001b[0m in \u001b[0;36mrun\u001b[0;34m(self, callbacks, tags, metadata, *args, **kwargs)\u001b[0m\n\u001b[1;32m    593\u001b[0m         \"\"\"\n\u001b[1;32m    594\u001b[0m         \u001b[0;31m# Run at start to make sure this is possible/defined\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 595\u001b[0;31m         \u001b[0m_output_key\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_run_output_key\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    596\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    597\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0margs\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\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[0;32m/usr/local/lib/python3.10/dist-packages/langchain/chains/base.py\u001b[0m in \u001b[0;36m_run_output_key\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    541\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_run_output_key\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    542\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moutput_keys\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 543\u001b[0;31m             raise ValueError(\n\u001b[0m\u001b[1;32m    544\u001b[0m                 \u001b[0;34mf\"`run` not supported when there is not exactly \"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    545\u001b[0m                 \u001b[0;34mf\"one output key. Got {self.output_keys}.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mValueError\u001b[0m: `run` not supported when there is not exactly one output key. Got ['result', 'source_documents']."
          ]
        }
      ],
      "source": [
        "qa.run(\"What is the difference between cheese making and wine making?\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "b4TgeywUFiD4"
      },
      "outputs": [],
      "source": [
        "# question = \"Write a Python function to calculate the factorial of a given number.\"\n",
        "# result = qa({\"query\": question})\n",
        "# print(result)\n",
        "qa.run(\"Write a Python function to calculate the factorial of a given number.\")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "-cTiUEV2y-h_"
      },
      "outputs": [],
      "source": [
        "from langchain import hub\n",
        "from langchain_core.prompts import ChatPromptTemplate, HumanMessagePromptTemplate, PromptTemplate\n",
        "from langchain_core.output_parsers import StrOutputParser\n",
        "prompt = hub.pull(\"rlm/rag-prompt\")\n",
        "Prompt: ChatPromptTemplate(input_variables=['context', 'question'], messages=[HumanMessagePromptTemplate(prompt=PromptTemplate(input_variables=['context', 'question'], template=\"You are an assistant for question-answering tasks. Use the following pieces of retrieved context to answer the question. If you don't know the answer, just say that you don't know. Use three sentences maximum and keep the answer concise.\\nQuestion: {question} \\nContext: {context} \\nAnswer:\"))])\n",
        "chain = prompt | llm | StrOutputParser()\n",
        "response = chain.invoke({\"question\":question,\"context\":docs})\n",
        "print(response)"
      ]
    }
  ],
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