{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "16ae872d",
   "metadata": {},
   "source": [
    "# Hugging Face Text Generation\n",
    "\n",
    "This notebook shows how to use the Hugging Face Text Generation endpoint."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "aed972a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.llms import HFTextGeneration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "09e693b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "os.environ[\"HUGGINGFACEHUB_API_TOKEN\"] = \"...\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6ce9486b",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = HFTextGeneration(repo_id=\"google/flan-ul2\", model_kwargs={\"temperature\":0.1, \"max_new_tokens\":200})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2af51b5e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man i'm a music man\""
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model(\"write me a song about music\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d47e1e10",
   "metadata": {},
   "source": [
    "## Streaming\n",
    "This section shows how to using streaming with the HF text generation endpoint."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3ffe8d7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.callbacks.base import CallbackManager\n",
    "from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5a84bdf3",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = HFTextGeneration(repo_id=\"bigscience/bloomz\", streaming=True, callback_manager=CallbackManager([StreamingStdOutCallbackHandler()]), verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "6d460fe9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "? Rayleigh scattering"
     ]
    }
   ],
   "source": [
    "resp = model(\"why is the sky blue\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6ed74872",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
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   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.1"
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 },
 "nbformat": 4,
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