rag_llm_medium.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "Wu7Fp4WiIjMO"
      },
      "outputs": [],
      "source": [
        "!pip install -q --upgrade google-cloud-aiplatform\n",
        "!pip install -q pypdf"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1vhl_UaD_dVA"
      },
      "source": [
        "## Deploying Gemma to Vertex AI"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "metadata": {
        "id": "337B0bt531Dz"
      },
      "outputs": [],
      "source": [
        "GCP_PROJECT_ID = 'gdsc-llm-gcp'\n",
        "PROJECT_NUMBER = '983720878576'\n",
        "ENDPOINT = '1774723917416497152'"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "n81CJNW54GkW"
      },
      "outputs": [],
      "source": [
        "from google.colab import auth\n",
        "auth.authenticate_user(project_id=GCP_PROJECT_ID)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "id": "0StETUAO3p16"
      },
      "outputs": [],
      "source": [
        "from typing import Dict, List, Union\n",
        "from google.cloud import aiplatform\n",
        "from google.protobuf import json_format\n",
        "from google.protobuf.struct_pb2 import Value\n",
        "\n",
        "def predict_custom_trained_model_sample(\n",
        "    project: str,\n",
        "    endpoint_id: str,\n",
        "    instances: Union[Dict, List[Dict]],\n",
        "    location: str = \"us-central1\",\n",
        "    api_endpoint: str = \"us-central1-aiplatform.googleapis.com\",\n",
        "):\n",
        "    \"\"\"\n",
        "    `instances` can be either single instance of type dict or a list\n",
        "    of instances.\n",
        "    \"\"\"\n",
        "    client_options = {\"api_endpoint\": api_endpoint}\n",
        "\n",
        "    client = aiplatform.gapic.PredictionServiceClient(client_options=client_options)\n",
        "\n",
        "    instances = instances if isinstance(instances, list) else [instances]\n",
        "\n",
        "    instances = [\n",
        "        json_format.ParseDict(instance_dict, Value()) for instance_dict in instances\n",
        "    ]\n",
        "\n",
        "    parameters_dict = {}\n",
        "\n",
        "    parameters = json_format.ParseDict(parameters_dict, Value())\n",
        "\n",
        "    endpoint = client.endpoint_path(\n",
        "        project=project, location=location, endpoint=endpoint_id\n",
        "    )\n",
        "\n",
        "\n",
        "    response = client.predict(\n",
        "        endpoint=endpoint, instances=instances, parameters=parameters\n",
        "    )\n",
        "\n",
        "    res_list = list(response.predictions)\n",
        "    prediction = res_list[0].split('\\nOutput:\\n')[-1]\n",
        "\n",
        "    return prediction\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "metadata": {
        "id": "AmhyXb565yFi"
      },
      "outputs": [],
      "source": [
        "instances = [\n",
        "    {\n",
        "        \"prompt\": \"What is a car?\",\n",
        "        \"max_tokens\": 50,\n",
        "        \"temperature\": 1.0,\n",
        "        \"top_p\": 1.0,\n",
        "        \"top_k\": 10,\n",
        "    },\n",
        "]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "id": "zCaIdBIJ3z_W"
      },
      "outputs": [],
      "source": [
        "res = predict_custom_trained_model_sample(\n",
        "    project=PROJECT_NUMBER,\n",
        "    endpoint_id=ENDPOINT,\n",
        "    location=\"us-central1\",\n",
        "    instances=instances\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Zgs08BfSGl2_",
        "outputId": "e0d1cc85-6e05-4912-a723-ea73865025b2"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "A car is a **powered vehicle** that can transport people or goods. It is typically propelled by an engine and can travel on roads, highways, or off-road. \n",
            "\n",
            "**Characteristics of a car:**\n",
            "\n",
            "* Has four wheels\n"
          ]
        }
      ],
      "source": [
        "print(res)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e1spS3c0BDBU"
      },
      "source": [
        "## Vector Embeddings"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "metadata": {
        "id": "TYJf16SyBiE-"
      },
      "outputs": [],
      "source": [
        "from vertexai.language_models import TextEmbeddingModel\n",
        "\n",
        "def text_embedding(text_input) -> list:\n",
        "    \"\"\"\n",
        "    Text embedding with a Large Language Model.\n",
        "\n",
        "    Args:\n",
        "      - text_input (str).\n",
        "\n",
        "    Returns\n",
        "      - vector (List[floats]).\n",
        "\n",
        "    \"\"\"\n",
        "    model = TextEmbeddingModel.from_pretrained(\"textembedding-gecko@001\")\n",
        "    embeddings = model.get_embeddings([text_input])\n",
        "    for embedding in embeddings:\n",
        "        vector = embedding.values\n",
        "    return vector\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nzxx-27ZG0PU",
        "outputId": "4a4a03f4-1b42-4b62-e87e-daf0a08a9c9f"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "WARNING:google.cloud.aiplatform.initializer:Failed to convert project number to project ID.\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/google/api_core/grpc_helpers.py\", line 72, in error_remapped_callable\n",
            "    return callable_(*args, **kwargs)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/grpc/_channel.py\", line 1181, in __call__\n",
            "    return _end_unary_response_blocking(state, call, False, None)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/grpc/_channel.py\", line 1006, in _end_unary_response_blocking\n",
            "    raise _InactiveRpcError(state)  # pytype: disable=not-instantiable\n",
            "grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC that terminated with:\n",
            "\tstatus = StatusCode.PERMISSION_DENIED\n",
            "\tdetails = \"Cloud Resource Manager API has not been used in project gdsc-llm-gcp before or it is disabled. Enable it by visiting https://console.developers.google.com/apis/api/cloudresourcemanager.googleapis.com/overview?project=gdsc-llm-gcp then retry. If you enabled this API recently, wait a few minutes for the action to propagate to our systems and retry.\"\n",
            "\tdebug_error_string = \"UNKNOWN:Error received from peer ipv4:172.217.15.234:443 {created_time:\"2024-05-07T18:12:23.199345682+00:00\", grpc_status:7, grpc_message:\"Cloud Resource Manager API has not been used in project gdsc-llm-gcp before or it is disabled. Enable it by visiting https://console.developers.google.com/apis/api/cloudresourcemanager.googleapis.com/overview?project=gdsc-llm-gcp then retry. If you enabled this API recently, wait a few minutes for the action to propagate to our systems and retry.\"}\"\n",
            ">\n",
            "\n",
            "The above exception was the direct cause of the following exception:\n",
            "\n",
            "Traceback (most recent call last):\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/google/cloud/aiplatform/initializer.py\", line 82, in _set_project_as_env_var_or_google_auth_default\n",
            "    project_id = resource_manager_utils.get_project_id(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/google/cloud/aiplatform/utils/resource_manager_utils.py\", line 48, in get_project_id\n",
            "    project = projects_client.get_project(name=f\"projects/{project_number}\")\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/google/cloud/resourcemanager_v3/services/projects/client.py\", line 766, in get_project\n",
            "    response = rpc(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/google/api_core/gapic_v1/method.py\", line 113, in __call__\n",
            "    return wrapped_func(*args, **kwargs)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/google/api_core/retry.py\", line 349, in retry_wrapped_func\n",
            "    return retry_target(\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/google/api_core/retry.py\", line 191, in retry_target\n",
            "    return target()\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/google/api_core/timeout.py\", line 120, in func_with_timeout\n",
            "    return func(*args, **kwargs)\n",
            "  File \"/usr/local/lib/python3.10/dist-packages/google/api_core/grpc_helpers.py\", line 74, in error_remapped_callable\n",
            "    raise exceptions.from_grpc_error(exc) from exc\n",
            "google.api_core.exceptions.PermissionDenied: 403 Cloud Resource Manager API has not been used in project gdsc-llm-gcp before or it is disabled. Enable it by visiting https://console.developers.google.com/apis/api/cloudresourcemanager.googleapis.com/overview?project=gdsc-llm-gcp then retry. If you enabled this API recently, wait a few minutes for the action to propagate to our systems and retry. [links {\n",
            "  description: \"Google developers console API activation\"\n",
            "  url: \"https://console.developers.google.com/apis/api/cloudresourcemanager.googleapis.com/overview?project=gdsc-llm-gcp\"\n",
            "}\n",
            ", reason: \"SERVICE_DISABLED\"\n",
            "domain: \"googleapis.com\"\n",
            "metadata {\n",
            "  key: \"consumer\"\n",
            "  value: \"projects/gdsc-llm-gcp\"\n",
            "}\n",
            "metadata {\n",
            "  key: \"service\"\n",
            "  value: \"cloudresourcemanager.googleapis.com\"\n",
            "}\n",
            "]\n"
          ]
        },
        {
          "data": {
            "text/plain": [
              "[-0.05585367605090141,\n",
              " -0.010443017818033695,\n",
              " 0.01454449724406004,\n",
              " 0.05574707314372063,\n",
              " 0.04002979397773743,\n",
              " -0.018696900457143784,\n",
              " 0.042522404342889786,\n",
              " -0.009606636129319668,\n",
              " 0.003927952144294977,\n",
              " 0.01396148931235075,\n",
              " 0.002298352774232626,\n",
              " 0.013790574856102467,\n",
              " -0.03282814472913742,\n",
              " -0.012836765497922897,\n",
              " 0.027354616671800613,\n",
              " -0.03451155498623848,\n",
              " -0.039617106318473816,\n",
              " -0.050513047724962234,\n",
              " 0.03604802489280701,\n",
              " 0.041966792196035385,\n",
              " -0.04956933483481407,\n",
              " -0.0005892147310078144,\n",
              " 0.002748505910858512,\n",
              " -0.007880281656980515,\n",
              " -0.001824500854127109,\n",
              " -0.05320842191576958,\n",
              " -0.01749778538942337,\n",
              " -0.06078367307782173,\n",
              " 0.03985645994544029,\n",
              " -0.0218134056776762,\n",
              " 0.03048328496515751,\n",
              " 0.017242107540369034,\n",
              " -0.035648979246616364,\n",
              " 0.00971344206482172,\n",
              " -0.0030730366706848145,\n",
              " 0.02330121025443077,\n",
              " -0.03649340569972992,\n",
              " -0.0013629054883494973,\n",
              " -0.00021251407451927662,\n",
              " 0.009062591940164566,\n",
              " 0.04576975479722023,\n",
              " 0.018228042870759964,\n",
              " 0.04485514014959335,\n",
              " -0.024372294545173645,\n",
              " 0.017439518123865128,\n",
              " -0.014589982107281685,\n",
              " 0.01127780694514513,\n",
              " 0.025262663140892982,\n",
              " -0.005448721349239349,\n",
              " -0.02158704772591591,\n",
              " 0.03889567404985428,\n",
              " -0.010771984234452248,\n",
              " 0.03579191491007805,\n",
              " 0.049140360206365585,\n",
              " -0.013643450103700161,\n",
              " 0.03912318870425224,\n",
              " -0.047246698290109634,\n",
              " -0.010267584584653378,\n",
              " -0.04251093417406082,\n",
              " -0.0242429468780756,\n",
              " 0.04874899238348007,\n",
              " -0.02498767524957657,\n",
              " 0.02969214878976345,\n",
              " -0.037755660712718964,\n",
              " -0.023508533835411072,\n",
              " 0.02102534845471382,\n",
              " 0.008350501768290997,\n",
              " 0.004189517814666033,\n",
              " -0.06356429308652878,\n",
              " -0.012648551724851131,\n",
              " 0.03815601393580437,\n",
              " -0.003967293072491884,\n",
              " -0.024307847023010254,\n",
              " -0.012921275570988655,\n",
              " 0.056490346789360046,\n",
              " -0.01689794473350048,\n",
              " 0.0036206806544214487,\n",
              " 0.03900875523686409,\n",
              " 0.039659690111875534,\n",
              " -0.034866977483034134,\n",
              " -0.055348701775074005,\n",
              " 0.015980135649442673,\n",
              " -0.0492255873978138,\n",
              " -0.07601038366556168,\n",
              " -0.04062606766819954,\n",
              " 0.06202837452292442,\n",
              " -0.03290001302957535,\n",
              " -0.025622956454753876,\n",
              " -0.07144500315189362,\n",
              " 0.1282348483800888,\n",
              " -0.04535475745797157,\n",
              " 0.0030563101172447205,\n",
              " 0.04580682888627052,\n",
              " 0.0176253542304039,\n",
              " -0.07464808970689774,\n",
              " -0.0221797414124012,\n",
              " -0.007637185975909233,\n",
              " 0.06094681844115257,\n",
              " 0.005835820455104113,\n",
              " 0.015659360215067863,\n",
              " 0.028838802129030228,\n",
              " -0.041780781000852585,\n",
              " 0.04114551842212677,\n",
              " -0.0038402224890887737,\n",
              " -0.005478864535689354,\n",
              " -0.019283553585410118,\n",
              " -0.0640832930803299,\n",
              " 0.06650789082050323,\n",
              " -0.0008716719457879663,\n",
              " -0.06353926658630371,\n",
              " -0.03038647398352623,\n",
              " 0.03737572580575943,\n",
              " -0.042978350073099136,\n",
              " -0.0058733876794576645,\n",
              " -0.035088032484054565,\n",
              " -0.0009447310003452003,\n",
              " 0.036058757454156876,\n",
              " -0.006992616690695286,\n",
              " 0.02841324917972088,\n",
              " 0.023393740877509117,\n",
              " -0.02243034727871418,\n",
              " -0.020138351246714592,\n",
              " -0.03577575460076332,\n",
              " 0.012648711912333965,\n",
              " -0.01803162693977356,\n",
              " 0.032240718603134155,\n",
              " 0.10277548432350159,\n",
              " -0.038102954626083374,\n",
              " 0.021338939666748047,\n",
              " -0.013103807345032692,\n",
              " 0.07141195982694626,\n",
              " -0.06541185081005096,\n",
              " 0.05422573164105415,\n",
              " -0.039801307022571564,\n",
              " 0.02451581507921219,\n",
              " -0.000577788392547518,\n",
              " 0.008456578478217125,\n",
              " -0.009654466062784195,\n",
              " 0.00440082885324955,\n",
              " 0.029784925282001495,\n",
              " -0.058660175651311874,\n",
              " -0.018952934071421623,\n",
              " -0.009791599586606026,\n",
              " 0.0012497840216383338,\n",
              " -0.01972682774066925,\n",
              " -0.01144858356565237,\n",
              " 0.003573496825993061,\n",
              " 0.012166745029389858,\n",
              " -0.03869254142045975,\n",
              " -0.024029351770877838,\n",
              " 0.004590245429426432,\n",
              " -0.021147795021533966,\n",
              " -0.008077834732830524,\n",
              " 0.012683523818850517,\n",
              " 0.06565119326114655,\n",
              " 0.019388044252991676,\n",
              " 0.03676006197929382,\n",
              " 0.029647884890437126,\n",
              " 0.045854367315769196,\n",
              " -0.06899700313806534,\n",
              " 0.017829274758696556,\n",
              " -0.06304392963647842,\n",
              " -0.020953595638275146,\n",
              " 0.008435333147644997,\n",
              " 0.04130668565630913,\n",
              " 0.03829246014356613,\n",
              " 0.021393638104200363,\n",
              " -0.009403309784829617,\n",
              " -0.03394978120923042,\n",
              " 0.02951999008655548,\n",
              " 0.04255266860127449,\n",
              " -0.15100473165512085,\n",
              " 0.02838197350502014,\n",
              " -0.06048030033707619,\n",
              " 0.051602646708488464,\n",
              " -0.0294024758040905,\n",
              " 0.004896984901279211,\n",
              " 0.05511542409658432,\n",
              " -0.018806498497724533,\n",
              " -0.04003293439745903,\n",
              " -0.0030116590205579996,\n",
              " -0.059835925698280334,\n",
              " 0.033927641808986664,\n",
              " -0.016246413812041283,\n",
              " -0.0855659767985344,\n",
              " -0.028019459918141365,\n",
              " 0.023260246962308884,\n",
              " -0.005571788176894188,\n",
              " -0.04433036968111992,\n",
              " 0.08336606621742249,\n",
              " 0.0021592192351818085,\n",
              " 0.03238145262002945,\n",
              " 0.0050274585373699665,\n",
              " -0.03793051838874817,\n",
              " 0.0193618293851614,\n",
              " -0.01267150230705738,\n",
              " 0.009653227403759956,\n",
              " -0.16030751168727875,\n",
              " 0.05079478770494461,\n",
              " -0.0180597435683012,\n",
              " -0.008853674866259098,\n",
              " -0.04129917547106743,\n",
              " 0.010660344734787941,\n",
              " 0.04020317643880844,\n",
              " -0.008328784257173538,\n",
              " -0.05652594193816185,\n",
              " -0.009759390726685524,\n",
              " 0.05564012750983238,\n",
              " 0.017742270603775978,\n",
              " 0.0013198552187532187,\n",
              " 0.0171290785074234,\n",
              " -0.006584375165402889,\n",
              " 0.019010165706276894,\n",
              " 0.02925041690468788,\n",
              " -0.013528117910027504,\n",
              " -0.006309452001005411,\n",
              " 0.019091878086328506,\n",
              " -0.030423816293478012,\n",
              " -0.048925355076789856,\n",
              " 0.01683608442544937,\n",
              " -0.04065362364053726,\n",
              " 0.014844856224954128,\n",
              " 0.021968236193060875,\n",
              " 0.05043551325798035,\n",
              " 0.029839588329195976,\n",
              " 0.03151974454522133,\n",
              " 0.01724771410226822,\n",
              " 0.01719948649406433,\n",
              " -0.016969259828329086,\n",
              " 0.03413207456469536,\n",
              " 0.009300798177719116,\n",
              " -0.044963087886571884,\n",
              " -0.003286056686192751,\n",
              " 0.01891695335507393,\n",
              " -0.03208288922905922,\n",
              " 0.046006087213754654,\n",
              " 0.011369639076292515,\n",
              " -0.008054163306951523,\n",
              " -0.0952802300453186,\n",
              " 0.056560903787612915,\n",
              " 0.029435597360134125,\n",
              " 0.01355670765042305,\n",
              " -0.03316695988178253,\n",
              " 0.02196318842470646,\n",
              " 0.006392862182110548,\n",
              " 0.01479484885931015,\n",
              " -0.0058906846679747105,\n",
              " -0.0002809065335895866,\n",
              " 0.017003953456878662,\n",
              " -0.028541654348373413,\n",
              " 0.0038155950605869293,\n",
              " -0.08089636266231537,\n",
              " 0.010562731884419918,\n",
              " 0.005678591784089804,\n",
              " 0.07448045164346695,\n",
              " 0.011389658786356449,\n",
              " 0.0352608896791935,\n",
              " 0.03918229043483734,\n",
              " -0.012038424611091614,\n",
              " 0.031087735667824745,\n",
              " -0.034987032413482666,\n",
              " -0.02018602006137371,\n",
              " 0.011809086427092552,\n",
              " 0.11796772480010986,\n",
              " -0.01986226812005043,\n",
              " 0.014155576005578041,\n",
              " -0.07027166336774826,\n",
              " 0.0021522995084524155,\n",
              " 0.041041139513254166,\n",
              " 0.0066085378639400005,\n",
              " 0.02423713356256485,\n",
              " -0.006681452970951796,\n",
              " 0.0541936531662941,\n",
              " 0.048172157257795334,\n",
              " 0.04474475607275963,\n",
              " -0.013059386983513832,\n",
              " -0.046557601541280746,\n",
              " 0.008799155242741108,\n",
              " -0.014582231640815735,\n",
              " 0.03170770779252052,\n",
              " 0.023541584610939026,\n",
              " -0.002183322561904788,\n",
              " 0.07360582053661346,\n",
              " 0.012044057250022888,\n",
              " 0.03483465686440468,\n",
              " 0.016441702842712402,\n",
              " -0.02384759858250618,\n",
              " -0.03957534208893776,\n",
              " -0.03956351429224014,\n",
              " -0.008407304994761944,\n",
              " 0.040767233818769455,\n",
              " 0.014980803243815899,\n",
              " -0.05272332951426506,\n",
              " 0.04101094603538513,\n",
              " -0.015466810204088688,\n",
              " -0.020390378311276436,\n",
              " 0.011083530262112617,\n",
              " -0.03279561921954155,\n",
              " -0.04040016233921051,\n",
              " 0.021679863333702087,\n",
              " -0.04489956423640251,\n",
              " 0.02241201139986515,\n",
              " 0.053299110382795334,\n",
              " 0.006736216135323048,\n",
              " -0.03434078022837639,\n",
              " -0.05497092008590698,\n",
              " -0.001270411303266883,\n",
              " -0.016652513295412064,\n",
              " 0.025344479829072952,\n",
              " -0.03600504249334335,\n",
              " -0.05342848598957062,\n",
              " -0.015670394524931908,\n",
              " 0.012328770011663437,\n",
              " -0.01117049902677536,\n",
              " 0.022155839949846268,\n",
              " 0.019388681277632713,\n",
              " 0.04612791910767555,\n",
              " -0.02993931621313095,\n",
              " -0.03593871369957924,\n",
              " 0.012937691994011402,\n",
              " -0.056627992540597916,\n",
              " 0.004104207269847393,\n",
              " 0.1176244467496872,\n",
              " -0.0054883528500795364,\n",
              " 0.0051336223259568214,\n",
              " 0.00039399610250256956,\n",
              " 0.02387930266559124,\n",
              " -0.03834713622927666,\n",
              " 0.10480362921953201,\n",
              " -0.0042768619023263454,\n",
              " 0.0019039302133023739,\n",
              " 0.015145630575716496,\n",
              " -0.02477363310754299,\n",
              " -0.010885239578783512,\n",
              " -0.011438827030360699,\n",
              " -0.004289768636226654,\n",
              " 0.0304359532892704,\n",
              " 0.06260481476783752,\n",
              " -0.011001395992934704,\n",
              " -0.07132679224014282,\n",
              " 0.03420835733413696,\n",
              " 0.014725900255143642,\n",
              " -0.017846208065748215,\n",
              " -0.030487321317195892,\n",
              " -0.0070764534175395966,\n",
              " -0.004779554437845945,\n",
              " -0.01996157504618168,\n",
              " -0.04982863739132881,\n",
              " -0.02577260509133339,\n",
              " -0.07677529752254486,\n",
              " 0.023513853549957275,\n",
              " -0.003513940144330263,\n",
              " -0.009562012739479542,\n",
              " 0.031998034566640854,\n",
              " 0.004148861858993769,\n",
              " 0.016599023714661598,\n",
              " -0.053963858634233475,\n",
              " -0.0013043120270594954,\n",
              " 0.07604088634252548,\n",
              " -0.00454336404800415,\n",
              " -0.06058572232723236,\n",
              " 0.02866728976368904,\n",
              " -0.0063912407495081425,\n",
              " 0.10938533395528793,\n",
              " -0.003921523690223694,\n",
              " 0.021012773737311363,\n",
              " -0.1046239510178566,\n",
              " 0.016096292063593864,\n",
              " 0.011343306861817837,\n",
              " -0.013012293726205826,\n",
              " 0.014247055165469646,\n",
              " -0.06408721953630447,\n",
              " 0.0195758119225502,\n",
              " -0.009503680281341076,\n",
              " -0.013376985676586628,\n",
              " 0.008281510323286057,\n",
              " -0.02368827350437641,\n",
              " 0.0006181700155138969,\n",
              " 0.017841894179582596,\n",
              " 0.05385182052850723,\n",
              " -0.0005063428543508053,\n",
              " 0.06570713967084885,\n",
              " -0.03421797603368759,\n",
              " 0.00484010623767972,\n",
              " 0.007158640306442976,\n",
              " 0.04703380540013313,\n",
              " 0.024402566254138947,\n",
              " 0.010359562002122402,\n",
              " -0.026607060804963112,\n",
              " -0.04708939045667648,\n",
              " 0.002415768336504698,\n",
              " 0.02935982495546341,\n",
              " -0.02541266940534115,\n",
              " -0.01002870500087738,\n",
              " -0.004640612285584211,\n",
              " 0.0692366361618042,\n",
              " 0.00653377640992403,\n",
              " -0.03271558880805969,\n",
              " -0.026694364845752716,\n",
              " 0.02650933898985386,\n",
              " 0.016545195132493973,\n",
              " 0.05085863545536995,\n",
              " -0.006264124996960163,\n",
              " -0.036147523671388626,\n",
              " 0.05692766234278679,\n",
              " -0.026381997391581535,\n",
              " 0.05307729169726372,\n",
              " 0.0005878196097910404,\n",
              " 0.0808684453368187,\n",
              " 0.01738198846578598,\n",
              " 2.6492951292311773e-05,\n",
              " -0.01030807662755251,\n",
              " 0.02284754253923893,\n",
              " 0.007180479355156422,\n",
              " 0.0048866430297493935,\n",
              " -0.02078910358250141,\n",
              " -0.007475381251424551,\n",
              " -0.01088428683578968,\n",
              " 0.007235900033265352,\n",
              " -0.005993435624986887,\n",
              " 0.009018804877996445,\n",
              " 0.007168055512011051,\n",
              " 0.0039593009278178215,\n",
              " 0.007656110916286707,\n",
              " 0.017974255606532097,\n",
              " 0.009595276787877083,\n",
              " -0.03782631456851959,\n",
              " -0.0018116411520168185,\n",
              " -0.03351599723100662,\n",
              " -0.0009009335772134364,\n",
              " 0.0027912443038076162,\n",
              " 0.012658202089369297,\n",
              " 0.0024819772224873304,\n",
              " -0.09719430655241013,\n",
              " -0.007294430863112211,\n",
              " -0.048290714621543884,\n",
              " 0.09980669617652893,\n",
              " 0.006191346328705549,\n",
              " 0.0005169591750018299,\n",
              " -0.01623164303600788,\n",
              " 0.010768653824925423,\n",
              " -0.02388875186443329,\n",
              " -0.0560188814997673,\n",
              " 0.02839185856282711,\n",
              " 0.017399102449417114,\n",
              " -0.024989567697048187,\n",
              " 0.006813830696046352,\n",
              " 0.0035086562857031822,\n",
              " -0.04194943979382515,\n",
              " 0.017014412209391594,\n",
              " 0.015293409116566181,\n",
              " 0.01906546577811241,\n",
              " 0.03523711487650871,\n",
              " 0.04087108001112938,\n",
              " 0.05482624098658562,\n",
              " -0.002535446546971798,\n",
              " -0.008526112884283066,\n",
              " -0.009073224849998951,\n",
              " 0.03799106553196907,\n",
              " 0.026119187474250793,\n",
              " -0.05204172804951668,\n",
              " 0.029912637546658516,\n",
              " -0.02232593484222889,\n",
              " 0.0602300800383091,\n",
              " -0.05484519898891449,\n",
              " -0.006069517228752375,\n",
              " 0.018906276673078537,\n",
              " 0.03631937876343727,\n",
              " -0.018392210826277733,\n",
              " 0.04967198520898819,\n",
              " -0.08275613188743591,\n",
              " 0.014172578230500221,\n",
              " -0.006189621984958649,\n",
              " -0.001985382055863738,\n",
              " 0.03661056235432625,\n",
              " 0.03192959725856781,\n",
              " 0.06499059498310089,\n",
              " 0.039424438029527664,\n",
              " -0.02512919157743454,\n",
              " 0.0486365370452404,\n",
              " -0.05373888090252876,\n",
              " 0.031025651842355728,\n",
              " 0.03379891440272331,\n",
              " -0.03233369067311287,\n",
              " -0.010801528580486774,\n",
              " 0.0005141965229995549,\n",
              " 0.027706647291779518,\n",
              " -0.009928811341524124,\n",
              " 0.02310297265648842,\n",
              " 0.02142278105020523,\n",
              " -0.010257436893880367,\n",
              " 0.013972173444926739,\n",
              " -0.02705509029328823,\n",
              " -0.04773847386240959,\n",
              " 0.026515480130910873,\n",
              " 0.006227435544133186,\n",
              " -0.015354531817138195,\n",
              " 0.025000369176268578,\n",
              " 0.011609859764575958,\n",
              " -0.044872600585222244,\n",
              " 0.036099743098020554,\n",
              " -0.03529316559433937,\n",
              " 0.004880212713032961,\n",
              " 0.01960711181163788,\n",
              " -0.0018380832625553012,\n",
              " 0.0055179353803396225,\n",
              " -0.008397901430726051,\n",
              " -0.03114033117890358,\n",
              " -0.049083419144153595,\n",
              " 0.04691643640398979,\n",
              " 0.04447602480649948,\n",
              " 0.05542919784784317,\n",
              " 0.0038322408217936754,\n",
              " -0.0426405593752861,\n",
              " -0.049903493374586105,\n",
              " -0.06904009729623795,\n",
              " -0.0345052070915699,\n",
              " 0.009599057957530022,\n",
              " -0.010479369200766087,\n",
              " -0.009527436457574368,\n",
              " -0.004374840296804905,\n",
              " -0.047915875911712646,\n",
              " -0.02515427954494953,\n",
              " 0.04063978046178818,\n",
              " 0.047816045582294464,\n",
              " 0.0746130496263504,\n",
              " 0.015276853926479816,\n",
              " -0.03435143828392029,\n",
              " -0.03382556512951851,\n",
              " 0.027572672814130783,\n",
              " -0.004258431028574705,\n",
              " 0.04524683207273483,\n",
              " -0.01592070981860161,\n",
              " 0.02124748006463051,\n",
              " 0.020941615104675293,\n",
              " -0.02236827090382576,\n",
              " 0.041964542120695114,\n",
              " -0.005697999149560928,\n",
              " 0.0562654472887516,\n",
              " 0.04436686262488365,\n",
              " -0.07257194817066193,\n",
              " -0.03597913309931755,\n",
              " 0.013179179280996323,\n",
              " 0.012272722087800503,\n",
              " 0.04310975596308708,\n",
              " -0.01778181828558445,\n",
              " 0.021869610995054245,\n",
              " 0.043339844793081284,\n",
              " 0.03195309266448021,\n",
              " 0.006110522896051407,\n",
              " 0.020807785913348198,\n",
              " -0.048415087163448334,\n",
              " -0.042861294001340866,\n",
              " 0.09318960458040237,\n",
              " 0.042764123529195786,\n",
              " -0.025104086846113205,\n",
              " 0.04296817258000374,\n",
              " -0.030247816815972328,\n",
              " 0.008034015074372292,\n",
              " -0.020078573375940323,\n",
              " 0.023577457293868065,\n",
              " 0.02360907569527626,\n",
              " -0.01635037362575531,\n",
              " 0.024545544758439064,\n",
              " 0.017000408843159676,\n",
              " -0.0037762790452688932,\n",
              " -0.009207162074744701,\n",
              " 0.036368682980537415,\n",
              " -0.0011981854913756251,\n",
              " -0.00638552475720644,\n",
              " 0.02616758830845356,\n",
              " -0.054562829434871674,\n",
              " -0.000811586796771735,\n",
              " 0.04101119562983513,\n",
              " -0.009009304456412792,\n",
              " -0.00940476544201374,\n",
              " -0.059446919709444046,\n",
              " -0.00823727622628212,\n",
              " 0.022926801815629005,\n",
              " 0.0005696116131730378,\n",
              " -0.0013224049471318722,\n",
              " 0.031070228666067123,\n",
              " -0.0008323131478391588,\n",
              " 0.02963663451373577,\n",
              " 0.0014913900522515178,\n",
              " -0.018438223749399185,\n",
              " -0.0003102151385974139,\n",
              " -0.04155372455716133,\n",
              " -0.03480401635169983,\n",
              " -0.02378695085644722,\n",
              " 0.020016195252537727,\n",
              " -0.08579912036657333,\n",
              " -0.0021365610882639885,\n",
              " -0.0010066106915473938,\n",
              " -0.02278539165854454,\n",
              " -0.0689353197813034,\n",
              " -0.0032945515122264624,\n",
              " -0.02268841490149498,\n",
              " -0.005752432160079479,\n",
              " 0.03922153264284134,\n",
              " 0.004974702373147011,\n",
              " 0.02849726937711239,\n",
              " 0.06099467724561691,\n",
              " -0.0927044227719307,\n",
              " 0.013511104509234428,\n",
              " -0.01055198535323143,\n",
              " 0.042291995137929916,\n",
              " 0.027801932767033577,\n",
              " 0.04020251706242561,\n",
              " -0.0027205704245716333,\n",
              " 0.014658046886324883,\n",
              " -0.0030819589737802744,\n",
              " 0.027418086305260658,\n",
              " -0.008458881638944149,\n",
              " -0.015494204126298428,\n",
              " -0.020829588174819946,\n",
              " -0.030783453956246376,\n",
              " 0.010971122421324253,\n",
              " 0.024998817592859268,\n",
              " 0.017096249386668205,\n",
              " 0.0705924704670906,\n",
              " 0.015579670667648315,\n",
              " 0.0286162868142128,\n",
              " -0.04103437066078186,\n",
              " 0.055361904203891754,\n",
              " -0.04218203201889992,\n",
              " 0.009184034541249275,\n",
              " 0.02739010564982891,\n",
              " 0.01236602384597063,\n",
              " -0.06236584857106209,\n",
              " 0.0683351457118988,\n",
              " 0.03200136497616768,\n",
              " 0.011058415286242962,\n",
              " -0.062145523726940155,\n",
              " 0.01018335297703743,\n",
              " -0.018794048577547073,\n",
              " -0.016663407906889915,\n",
              " 0.06711878627538681,\n",
              " 0.03697379678487778,\n",
              " 0.047417063266038895,\n",
              " 0.02015683799982071,\n",
              " -0.0017421141965314746,\n",
              " -0.0344841405749321,\n",
              " -0.00943373516201973,\n",
              " -0.015564125031232834,\n",
              " 0.017942074686288834,\n",
              " -0.01324010081589222,\n",
              " -0.0616154670715332,\n",
              " -0.020217441022396088,\n",
              " 0.05211383476853371,\n",
              " -0.007143063470721245,\n",
              " -0.022075684741139412,\n",
              " 0.009427030570805073,\n",
              " -0.015518019907176495,\n",
              " 0.003550973255187273,\n",
              " -0.007399158552289009,\n",
              " 0.04796936735510826,\n",
              " -0.0053712232038378716,\n",
              " -0.0016646862495690584,\n",
              " 0.031452059745788574,\n",
              " 0.04469757154583931,\n",
              " -0.010961504653096199,\n",
              " -0.033075157552957535,\n",
              " 0.041798532009124756,\n",
              " -0.02436765283346176,\n",
              " 0.059423185884952545,\n",
              " -0.015769675374031067,\n",
              " 0.01841849274933338,\n",
              " 0.034824591130018234,\n",
              " -0.021255355328321457,\n",
              " -0.03809945285320282,\n",
              " -0.053534768521785736,\n",
              " 0.021864529699087143,\n",
              " -0.04674512520432472,\n",
              " -0.03750316798686981,\n",
              " 0.028446486219763756,\n",
              " 0.005810380447655916,\n",
              " 0.0035023158416152,\n",
              " 0.010637329891324043,\n",
              " 0.002317989245057106,\n",
              " -0.02403225749731064,\n",
              " -0.024710727855563164,\n",
              " -0.040083110332489014,\n",
              " -0.021735776215791702,\n",
              " 0.045073382556438446,\n",
              " -0.04133819043636322,\n",
              " 0.02828189730644226,\n",
              " -0.03215930983424187,\n",
              " 0.0005237511941231787,\n",
              " -0.08313677459955215,\n",
              " -0.028338270261883736,\n",
              " 0.03733757138252258,\n",
              " 0.0201602540910244,\n",
              " -0.03765121474862099,\n",
              " -0.019555959850549698,\n",
              " 0.0006036945269443095,\n",
              " -0.00046586431562900543,\n",
              " 0.013238545507192612,\n",
              " -0.005650131497532129,\n",
              " 0.018888723105192184,\n",
              " 0.004192160442471504,\n",
              " 0.02583005279302597,\n",
              " 0.07410142570734024,\n",
              " 0.03037363290786743,\n",
              " 0.04608557000756264,\n",
              " -0.02299780771136284,\n",
              " -0.013194503262639046,\n",
              " 0.01487385481595993,\n",
              " 0.006418991833925247,\n",
              " -0.07651086151599884,\n",
              " -0.002758503658697009,\n",
              " -0.012216361239552498,\n",
              " 0.061718426644802094,\n",
              " -0.008840197697281837,\n",
              " -0.03310341387987137,\n",
              " 0.06978961080312729,\n",
              " -0.04084454104304314,\n",
              " -0.026157956570386887,\n",
              " -0.002589525654911995,\n",
              " -0.001627797493711114,\n",
              " 0.01901472546160221,\n",
              " 0.018947821110486984,\n",
              " 0.010473636910319328,\n",
              " -0.04318302869796753,\n",
              " -0.01476192008703947,\n",
              " -0.010227341204881668,\n",
              " 0.008624376729130745,\n",
              " -0.015555365011096,\n",
              " 0.040919508785009384,\n",
              " -0.045758649706840515,\n",
              " -0.001840621349401772,\n",
              " -0.038993820548057556,\n",
              " 0.019023515284061432,\n",
              " 0.04230334237217903,\n",
              " -0.002938182558864355,\n",
              " -0.05502680689096451,\n",
              " 0.02536962926387787,\n",
              " 0.017699452117085457,\n",
              " -0.0006596727180294693,\n",
              " -0.07805892080068588,\n",
              " 0.02515752613544464,\n",
              " -0.015154890716075897,\n",
              " -0.04161754250526428,\n",
              " 0.001399071654304862,\n",
              " 0.01822257600724697,\n",
              " 0.011598577722907066,\n",
              " -0.06363803893327713,\n",
              " 0.00796960387378931,\n",
              " -0.02803410217165947,\n",
              " -0.009026517160236835,\n",
              " -0.0670410692691803,\n",
              " 0.03298084810376167,\n",
              " 0.01013550441712141,\n",
              " 0.0003850006905850023,\n",
              " 0.0030597697477787733,\n",
              " 0.11658581346273422,\n",
              " 0.047074779868125916,\n",
              " 0.0394400954246521,\n",
              " 0.007008957210928202,\n",
              " 0.05449085310101509,\n",
              " -0.00880775973200798,\n",
              " -0.018613414838910103,\n",
              " 0.021603483706712723,\n",
              " -0.012142656370997429,\n",
              " 0.02633216232061386,\n",
              " 0.0410999171435833,\n",
              " -0.003862511133775115,\n",
              " 0.028579017147421837]"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "text_embedding('My name is Cesar and Im a masters student at IE')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1SMldSJpCdVy"
      },
      "source": [
        "# Storing embeddings"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "idDYBvFdS1Z9"
      },
      "source": [
        "### Task 1. Find a data structure and function that can store text chunks and their embeddings. Write a function to easily add a new text chunk to that data structure."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "id": "VOvvtkNcCnHM"
      },
      "outputs": [],
      "source": [
        "vector_memory = {}"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "id": "PXykBxy3CsVl"
      },
      "outputs": [],
      "source": [
        "def add_chunk(text_string, vector_memory=vector_memory):\n",
        "  \"\"\"\n",
        "  Adds new text to vector memory.\n",
        "\n",
        "  Args:\n",
        "    - text_string (str). The text we want to embed and store.\n",
        "    - vector_memory (Dict) Dictionary mapping from text_strings to embedding vectors.\n",
        "  \"\"\"\n",
        "  #TODO\n",
        "  if text_string not in vector_memory:\n",
        "    # _____: Use a method to generate an embedding vector from the text_string\n",
        "    # _____: Assign the generated text_vector to the appropriate key in vector_memory"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iwhqZ_7dTv9n"
      },
      "source": [
        "# Retrieving embeddings"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "05wGfLrsTHZy"
      },
      "source": [
        "### Task 2. Write a function to retrieve the k most similar embeddings from that data structure."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 21,
      "metadata": {
        "id": "EfEImTEFDePL"
      },
      "outputs": [],
      "source": [
        "def find_k_nearest_neighbors(query: str, k, vector_memory=vector_memory):\n",
        "  \"\"\"\n",
        "  Given a query string, retrieves the k most similar vectors.\n",
        "\n",
        "  Args:\n",
        "    - query (string).\n",
        "    - k (int)\n",
        "    - vector_memory (Dict). Maps of text and embeddings\n",
        "\n",
        "  Returns:\n",
        "    - k most similar text strings.\n",
        "  \"\"\"\n",
        "\n",
        "  #TODO\n",
        "  distances = {}\n",
        "  query_vector = text_embedding(query)\n",
        "\n",
        "  for item in vector_memory:\n",
        "    embedding = vector_memory[item]\n",
        "    distance = [sum((a-b)**2 for a, b in zip(embedding, query_vector))]\n",
        "    distances[item] = distance\n",
        "\n",
        "  # _____: Create a sorted list of items based on the distance, then extract and return the top k items\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0rP1rTwnTxup"
      },
      "source": [
        "# Loading PDFs"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ON3TO3LxTQO1"
      },
      "source": [
        "### Task 3. Write a function that takes a filename, extracts the text of a pdf document, and splits it into chunks. You can use pypdf for that."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Laz567LrN14a",
        "outputId": "6ffe2450-037e-4dd6-f3a6-c82c90fc7394"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: pypdf in /usr/local/lib/python3.10/dist-packages (4.2.0)\n",
            "Requirement already satisfied: typing_extensions>=4.0 in /usr/local/lib/python3.10/dist-packages (from pypdf) (4.11.0)\n"
          ]
        }
      ],
      "source": [
        "!pip install pypdf"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "HzjGT_8LNWtt"
      },
      "outputs": [],
      "source": [
        "import pypdf\n",
        "filename = '1706.03762.pdf'\n",
        "with open(filename, 'rb') as pdf_file:\n",
        "    pdf_reader = pypdf.PdfReader(pdf_file)\n",
        "    page = pdf_reader.pages[1]\n",
        "    print(page.extract_text())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 18,
      "metadata": {
        "id": "NTVNmPf7J1RN"
      },
      "outputs": [],
      "source": [
        "import pypdf\n",
        "\n",
        "def extract_text_from_pdf(filename):\n",
        "  \"\"\"\n",
        "  Loads a PDF file and chunks it.\n",
        "\n",
        "  Args:\n",
        "    - filename (str): path to PDF file.\n",
        "\n",
        "  Returns:\n",
        "    - List of paragraphs from the PDF.\n",
        "  \"\"\"\n",
        "  with open(filename, 'rb') as pdf_file:\n",
        "    pdf_reader = pypdf.PdfReader(pdf_file)\n",
        "    chunks = []\n",
        "\n",
        "    for page in pdf_reader.pages:\n",
        "      text = page.extract_text()\n",
        "      # _____: Split the extracted text into paragraphs using the correct delimiter\n",
        "\n",
        "    return paragraphs\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ny_IsntpTINt"
      },
      "source": [
        "### Task 4. Load text chunks, create embeddings and save them in your vector data structure."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 19,
      "metadata": {
        "id": "bckVPPhkTfXN"
      },
      "outputs": [],
      "source": [
        "# Get the chunks from the PDF\n",
        "chunks = extract_text_from_pdf('1706.03762.pdf')\n",
        "\n",
        "# Add each chunk to the vector memory\n",
        "for chunk in chunks:\n",
        "  add_chunk(chunk)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "egn_lJlAUOMJ"
      },
      "source": [
        "### Task 5. Get a question from the user and find the most relevant context from the PDF you loaded."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 22,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Zo_VNvl_UUN9",
        "outputId": "6df40b98-cca0-4b52-df62-e1adda4291b4"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Enter your query: What is transformers\n"
          ]
        }
      ],
      "source": [
        "# Obtain the query from the user\n",
        "query = input('Enter your query: ')\n",
        "k = 3\n",
        "\n",
        "# Query the vector memory\n",
        "results = find_k_nearest_neighbors(query, k)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Ldz6EEo-UnC0"
      },
      "source": [
        "### Task 6. Use prompt engineering and the Gemma LLM to answer the question based on the context you retrieved."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 23,
      "metadata": {
        "id": "LmAv6KPoUsIm"
      },
      "outputs": [],
      "source": [
        "# Convert the results to a string that can be used in the prompt\n",
        "context = '\\n'.join(results)\n",
        "\n",
        "# Prompt the LLM with the results\n",
        "prompt = f\"\"\"Based on the following context items, please answer the query.\n",
        "Give yourself room to think by extracting relevant passages from the context before answering the query.\n",
        "Don't return the thinking, only return the answer.\n",
        "Make sure your answers are as explanatory as possible.\n",
        "{context}\n",
        "\\nRelevant passages: <extract relevant passages from the context here>\n",
        "User query: {query}\n",
        "Answer:\"\"\""
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 24,
      "metadata": {
        "id": "uMLVctiPGNdn"
      },
      "outputs": [],
      "source": [
        "instances = [\n",
        "    {\n",
        "        \"prompt\": prompt,\n",
        "        \"max_tokens\": 50,\n",
        "        \"temperature\": 1.0,\n",
        "        \"top_p\": 1.0,\n",
        "        \"top_k\": 10,\n",
        "    },\n",
        "]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "metadata": {
        "id": "6XICH5j7GNdn"
      },
      "outputs": [],
      "source": [
        "res = predict_custom_trained_model_sample(\n",
        "    project=PROJECT_NUMBER,\n",
        "    endpoint_id=ENDPOINT,\n",
        "    location=\"us-central1\",\n",
        "    instances=instances\n",
        ")"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a5pMD0U-GNdo",
        "outputId": "4fbc41eb-fa93-4fc1-9130-a2f5ac932341"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            " Transformers are electronic devices that alter the voltage or current of an alternating current (AC) electrical signal without changing its frequency. They consist of two or more coils of wire called windings, which are wrapped around a magnetic core. The alternating current flows through the\n"
          ]
        }
      ],
      "source": [
        "print(res)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Mghju027Lobc"
      },
      "source": [
        "Next steps:\n",
        "- Store vectors in embedding database\n",
        "- deploy trained model\n",
        "- Use chat history as context\n",
        "- Update response into specific format\n",
        "- Deploy function to the cloud"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.11.7"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}