list_of_lists_of_tokens.ipynb

{
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  "metadata": {
    "colab": {
      "name": "list_of_lists_of_tokens.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyN+iHCdGkQIh4QIn1e2N2mM",
      "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/list_of_lists_of_tokens.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5FFVrXB3D8ga",
        "outputId": "6c24ad8e-49ca-4232-aaa9-6ad99e05a63a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 442
        }
      },
      "source": [
        "!pip install openai\n",
        "!pip install transformers\n",
        "\n",
        "import json\n",
        "from google.colab import files\n",
        "import openai\n",
        "from transformers import GPT2Tokenizer\n",
        "import pandas as pd"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: openai in /usr/local/lib/python3.6/dist-packages (0.2.5)\n",
            "Requirement already satisfied: requests>=2.20; python_version >= \"3.0\" in /usr/local/lib/python3.6/dist-packages (from openai) (2.23.0)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20; python_version >= \"3.0\"->openai) (2.10)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20; python_version >= \"3.0\"->openai) (2020.6.20)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20; python_version >= \"3.0\"->openai) (1.24.3)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20; python_version >= \"3.0\"->openai) (3.0.4)\n",
            "Requirement already satisfied: transformers in /usr/local/lib/python3.6/dist-packages (3.3.1)\n",
            "Requirement already satisfied: tokenizers==0.8.1.rc2 in /usr/local/lib/python3.6/dist-packages (from transformers) (0.8.1rc2)\n",
            "Requirement already satisfied: sentencepiece!=0.1.92 in /usr/local/lib/python3.6/dist-packages (from transformers) (0.1.91)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.6/dist-packages (from transformers) (2.23.0)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.6/dist-packages (from transformers) (20.4)\n",
            "Requirement already satisfied: filelock in /usr/local/lib/python3.6/dist-packages (from transformers) (3.0.12)\n",
            "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.6/dist-packages (from transformers) (4.41.1)\n",
            "Requirement already satisfied: sacremoses in /usr/local/lib/python3.6/dist-packages (from transformers) (0.0.43)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.6/dist-packages (from transformers) (2019.12.20)\n",
            "Requirement already satisfied: dataclasses; python_version < \"3.7\" in /usr/local/lib/python3.6/dist-packages (from transformers) (0.7)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from transformers) (1.18.5)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests->transformers) (2020.6.20)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests->transformers) (1.24.3)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests->transformers) (3.0.4)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->transformers) (2.10)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from packaging->transformers) (1.15.0)\n",
            "Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.6/dist-packages (from packaging->transformers) (2.4.7)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.6/dist-packages (from sacremoses->transformers) (0.16.0)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.6/dist-packages (from sacremoses->transformers) (7.1.2)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UMHfrxcGD_zI",
        "outputId": "84cac5a1-abb0-442d-9edf-a50ff52a0254",
        "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",
        "upload = files.upload()\n",
        "openai.api_key = json.load(open(\"api_key.json\", \"r\"))[\"api_key\"]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-836ae59e-5971-41e6-a02d-ea38dd4ad96c\" name=\"files[]\" multiple disabled\n",
              "        style=\"border:none\" />\n",
              "     <output id=\"result-836ae59e-5971-41e6-a02d-ea38dd4ad96c\">\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 (1).json\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4JwXhCWqESXP"
      },
      "source": [
        "kwargs = {\"engine\": \"ada\",\n",
        "          \"temperature\": 0,\n",
        "          \"stop\": \"\\n\",\n",
        "          \"max_tokens\": 3}"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YDhQRxfrEBd-",
        "outputId": "2eaa4270-fbe5-4fca-c6a2-c2928e0c64a0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 221
        }
      },
      "source": [
        "prompt = [\"ABCDEFG\", \"MNOPQRSTUVW\"] \n",
        "\n",
        "r =  openai.Completion.create(prompt = prompt, **kwargs) \n",
        "r[\"choices\"]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<OpenAIObject at 0x7fc2f1163048> JSON: {\n",
              "  \"finish_reason\": \"length\",\n",
              "  \"index\": 0,\n",
              "  \"logprobs\": null,\n",
              "  \"text\": \"SLTK\"\n",
              "},\n",
              " <OpenAIObject at 0x7fc2f11630f8> JSON: {\n",
              "  \"finish_reason\": \"stop\",\n",
              "  \"index\": 1,\n",
              "  \"logprobs\": null,\n",
              "  \"text\": \"XYZ\"\n",
              "}]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yKKSua9aEDHB",
        "outputId": "03cedeff-2086-4dcc-e898-9cbfb8e3c4c6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        }
      },
      "source": [
        "#Initialize the BPE tokenizer\n",
        "tokenizer = GPT2Tokenizer.from_pretrained('gpt2') \n",
        "\n",
        "# The tokenizer will encode each string into list of tokens (ints).\n",
        "tokens_list_1 = tokenizer.encode(prompt[0])\n",
        "tokens_list_2 = tokenizer.encode(prompt[1])\n",
        "\n",
        "print(f\"string '{prompt[0]}' is encoded to: {tokens_list_1}\\n\")\n",
        "print(f\"string '{prompt[1]}' is encoded to: {tokens_list_2}\\n\")\n",
        "\n",
        "r =  openai.Completion.create(prompt = [tokens_list_1, tokens_list_2], **kwargs) \n",
        "r[\"choices\"]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "string 'ABCDEFG' is encoded to: [24694, 7206, 30386]\n",
            "\n",
            "string 'MNOPQRSTUVW' is encoded to: [39764, 3185, 48, 49, 2257, 52, 30133]\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<OpenAIObject at 0x7fc2efaf4ca8> JSON: {\n",
              "  \"finish_reason\": \"length\",\n",
              "  \"index\": 0,\n",
              "  \"logprobs\": null,\n",
              "  \"text\": \"SLTK\"\n",
              "},\n",
              " <OpenAIObject at 0x7fc2efaf4d58> JSON: {\n",
              "  \"finish_reason\": \"stop\",\n",
              "  \"index\": 1,\n",
              "  \"logprobs\": null,\n",
              "  \"text\": \"XYZ\"\n",
              "}]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oe8zVP6EEKnY"
      },
      "source": [
        ""
      ]
    }
  ]
}