basic_generation_prompt.ipynb

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  "metadata": {
    "colab": {
      "name": "basic_generation_prompt.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyODMocT6dUc8NbuEGW2OEk6",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/rafajak/gpt3_examples/blob/master/basic_generation_prompt.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "D71vY3PWZMe0",
        "outputId": "4b0111f3-81c6-4ad9-c5f6-01dcf02bc510",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 884
        }
      },
      "source": [
        "!pip install openai\n",
        "!pip install transformers\n",
        "\n",
        "import openai\n",
        "import pandas as pd\n",
        "from google.colab import files\n",
        "import json"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting openai\n",
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            "Building wheels for collected packages: openai\n",
            "  Building wheel for openai (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for openai: filename=openai-0.2.5-cp36-none-any.whl size=170720 sha256=36e5eb230aa222d4958ddaad158c361339c8dd063cacfce910145cfe35af3bff\n",
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            "Successfully built openai\n",
            "Installing collected packages: openai\n",
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            "Collecting transformers\n",
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            "Building wheels for collected packages: sacremoses\n",
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            "  Created wheel for sacremoses: filename=sacremoses-0.0.43-cp36-none-any.whl size=893257 sha256=c77f2df3e7c4fb03c47153a5de9f538838616655f5047a1ec36859c3615c331b\n",
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            "Successfully installed sacremoses-0.0.43 sentencepiece-0.1.91 tokenizers-0.9.2 transformers-3.4.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3QhqScVBZcK6",
        "outputId": "e912ccb0-8b28-491c-8547-3124c45e1cbe",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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              "ok": true,
              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 72
        }
      },
      "source": [
        "# To keep your secret API key secure - create a api_key.json file containing the key and upload it with the function below. \n",
        "# My config file looks like this: {\"api_key\": \"heresmysecretkey\"}\n",
        "\n",
        "upload = files.upload()\n",
        "openai.api_key = json.load(open(\"api_key.json\", \"r\"))[\"api_key\"]"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-21d9559e-3207-4a52-b58b-29049fbd5169\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-21d9559e-3207-4a52-b58b-29049fbd5169\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving api_key.json to api_key.json\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "QWur4ZhDZfnd",
        "outputId": "84ead208-50b8-406d-fef6-f506cc2027d3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#arguments to send the API\n",
        "kwargs = {\"engine\":\"ada\",\n",
        "          \"temperature\": 0.7,\n",
        "          \"max_tokens\": 3,\n",
        "          \"echo\": True}\n",
        "\n",
        "prompt = \"Hi, my name is\"\n",
        "\n",
        "r = openai.Completion.create(prompt=prompt, **kwargs)\n",
        "\n",
        "print(r[\"choices\"][0][\"text\"])"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Hi, my name is Phil, and\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rFz1MkxJaK7u"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}