{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU",
    "gpuClass": "standard"
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "u7RAqjzj4ylm"
      },
      "outputs": [],
      "source": [
        "!pip install happytransformer"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from happytransformer import HappyGeneration\n",
        "\n",
        "happy_gen = HappyGeneration(\"GPT2\", \"gpt2-medium\")"
      ],
      "metadata": {
        "id": "4V9hd8bQ41HD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!wget https://huggingface.co/datasets/DarwinAnim8or/greentext/resolve/main/greentexts.txt"
      ],
      "metadata": {
        "id": "hz3fzo5W9ppf"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from happytransformer import GENTrainArgs \n",
        "\n",
        "args = GENTrainArgs(learning_rate =1e-5, num_train_epochs = 15)\n",
        "happy_gen.train(\"greentexts.txt\", args=args)"
      ],
      "metadata": {
        "id": "Yl4wNVvK5Bex"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from happytransformer import GENSettings\n",
        "args_top_k = GENSettings(no_repeat_ngram_size=3, do_sample=True, top_k=80, temperature=0.8, max_length=150, early_stopping=False)"
      ],
      "metadata": {
        "id": "LXi7hXFtBLpN"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "result = happy_gen.generate_text(\"\"\"Write a greentext from 4chan.org. The story should be like a bullet-point list using > as the start of each line. Most greentexts are humorous or absurd in nature. Most greentexts have a twist near the end.\n",
        ">be me\n",
        ">\"\"\", args=args_top_k)\n",
        "\n",
        "#print(result)\n",
        "print(result.text)"
      ],
      "metadata": {
        "id": "ih4KihPy_U_h"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#To save the model, run this cell.\n",
        "happy_gen.save(\"gpt2-greentext-epoch-15/\")"
      ],
      "metadata": {
        "id": "LFUPtXAo_dTz"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}