ai_credentials.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNHWZzF31upYk3/tp1oblrP",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/InowaR/colab/blob/main/ai_credentials.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "from google.colab import userdata\n",
        "\n",
        "os.environ['GOOGLE_API_KEY'] = userdata.get('GOOGLE_API_KEY')"
      ],
      "metadata": {
        "id": "NWlSlV9Lcaf5"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "%%bash\n",
        "curl https://generativelanguage.googleapis.com/v1beta/models/gemini-pro:generateContent?key=$GOOGLE_API_KEY \\\n",
        "    -H 'Content-Type: application/json' \\\n",
        "    -X POST \\\n",
        "    -d '{\n",
        "      \"contents\": [{\n",
        "        \"parts\":[{\n",
        "          \"text\": \"Hi\"}]}]}' 2> /dev/null"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Irz-kTeNdcHP",
        "outputId": "bbc31e45-3910-4bd1-eb25-a28585bc1dfe"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{\n",
            "  \"candidates\": [\n",
            "    {\n",
            "      \"content\": {\n",
            "        \"parts\": [\n",
            "          {\n",
            "            \"text\": \"Greetings! How may I assist you today?\"\n",
            "          }\n",
            "        ],\n",
            "        \"role\": \"model\"\n",
            "      },\n",
            "      \"finishReason\": \"STOP\",\n",
            "      \"index\": 0,\n",
            "      \"safetyRatings\": [\n",
            "        {\n",
            "          \"category\": \"HARM_CATEGORY_SEXUALLY_EXPLICIT\",\n",
            "          \"probability\": \"NEGLIGIBLE\"\n",
            "        },\n",
            "        {\n",
            "          \"category\": \"HARM_CATEGORY_HATE_SPEECH\",\n",
            "          \"probability\": \"NEGLIGIBLE\"\n",
            "        },\n",
            "        {\n",
            "          \"category\": \"HARM_CATEGORY_HARASSMENT\",\n",
            "          \"probability\": \"NEGLIGIBLE\"\n",
            "        },\n",
            "        {\n",
            "          \"category\": \"HARM_CATEGORY_DANGEROUS_CONTENT\",\n",
            "          \"probability\": \"NEGLIGIBLE\"\n",
            "        }\n",
            "      ]\n",
            "    }\n",
            "  ],\n",
            "  \"usageMetadata\": {\n",
            "    \"promptTokenCount\": 1,\n",
            "    \"candidatesTokenCount\": 9,\n",
            "    \"totalTokenCount\": 10\n",
            "  }\n",
            "}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!curl -o image.jpg https://storage.googleapis.com/generativeai-downloads/images/scones.jpg"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HIPRDDFQebpL",
        "outputId": "8fdc5b42-a184-4240-83ca-8f4df94c313d"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
            "                                 Dload  Upload   Total   Spent    Left  Speed\n",
            "100  385k  100  385k    0     0  1877k      0 --:--:-- --:--:-- --:--:-- 1880k\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%%bash\n",
        "echo '{\n",
        "  \"contents\":[\n",
        "    {\n",
        "      \"parts\":[\n",
        "        {\"text\": \"Descripe the picture\"},\n",
        "        {\n",
        "          \"inline_data\": {\n",
        "            \"mime_type\":\"image/jpeg\",\n",
        "            \"data\": \"'$(base64 -w0 image.jpg)'\"\n",
        "          }\n",
        "        }\n",
        "      ]\n",
        "    }\n",
        "  ]\n",
        "}' > request.json"
      ],
      "metadata": {
        "id": "XXQPNpZlef0p"
      },
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "%%bash\n",
        "curl https://generativelanguage.googleapis.com/v1beta/models/gemini-pro-vision:generateContent?key=${GOOGLE_API_KEY} \\\n",
        "        -H 'Content-Type: application/json' \\\n",
        "        -d @request.json 2> /dev/null | grep \"text\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UvDm7Q26ekXM",
        "outputId": "7fb8b4be-eb18-4f2b-ae54-fd56cfd7a20d"
      },
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "            \"text\": \" The picture shows a white plate with three scones. The scones are made with blueberries and have a crumbly texture. There is also a bowl of blueberries and two cups of coffee on the table. The table is decorated with pink flowers and green leaves. There is also a silver spoon on the table. The background is a light blue color.\"\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# https://console.cloud.google.com/apis/credentials\n",
        "# create a new key in json format, upload a json file here"
      ],
      "metadata": {
        "id": "J8m95ZxBxa2M"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import vertexai\n",
        "from vertexai.generative_models import GenerativeModel\n",
        "from google.colab import userdata\n",
        "import os\n",
        "\n",
        "\n",
        "os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = userdata.get('GOOGLE_APPLICATION_CREDENTIALS_JSON')\n",
        "PROJECT_ID = userdata.get('PROJECT_ID')\n",
        "LOCATION = userdata.get('LOCATION')\n",
        "\n",
        "\n",
        "vertexai.init(project=PROJECT_ID, location=LOCATION)\n",
        "model = GenerativeModel(\"gemini-1.0-pro\")\n",
        "\n",
        "chat = model.start_chat(history=[])\n",
        "\n",
        "def send_data(prompt):\n",
        "    response = chat.send_message(prompt)\n",
        "    return response.text\n",
        "\n",
        "send_data('hi')"
      ],
      "metadata": {
        "id": "_IqP4I0dfL5u",
        "outputId": "3e8ed202-a797-45ed-8f2e-9cd993450663",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        }
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'Hi! How can I help you today?'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(chat.history)"
      ],
      "metadata": {
        "id": "F6b4r9asDvhP",
        "outputId": "fb5e75fa-cfc5-45d1-826a-23154719d722",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[role: \"user\"\n",
            "parts {\n",
            "  text: \"hi\"\n",
            "}\n",
            ", role: \"model\"\n",
            "parts {\n",
            "  text: \"Hi! How can I help you today?\"\n",
            "}\n",
            "]\n"
          ]
        }
      ]
    }
  ]
}