{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3acf0069",
   "metadata": {},
   "outputs": [
    {
     "ename": "ValidationError",
     "evalue": "1 validation error for HuggingFaceHub\n__root__\n  Did not find HuggingFace API token, please add an environment variable `HUGGINGFACEHUB_API_TOKEN` which contains it. (type=value_error)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValidationError\u001b[0m                           Traceback (most recent call last)",
      "\u001b[0;32m/var/folders/y6/8_bzdg295ld6s1_97_12m4lr0000gn/T/ipykernel_56760/1512947828.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      5\u001b[0m Answer: Let's think step by step.\"\"\"\n\u001b[1;32m      6\u001b[0m \u001b[0mprompt\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mPrompt\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtemplate\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtemplate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput_variables\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"question\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mllm_chain\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mLLMChain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprompt\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mprompt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mllm\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mHuggingFaceHub\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrepo_id\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"gpt2\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtemperature\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1e-10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0mquestion\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"What NFL team won the Super Bowl in the year Justin Beiber was born?\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/workplace/langchain/.venv/lib/python3.7/site-packages/pydantic/main.cpython-37m-darwin.so\u001b[0m in \u001b[0;36mpydantic.main.BaseModel.__init__\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mValidationError\u001b[0m: 1 validation error for HuggingFaceHub\n__root__\n  Did not find HuggingFace API token, please add an environment variable `HUGGINGFACEHUB_API_TOKEN` which contains it. (type=value_error)"
     ]
    }
   ],
   "source": [
    "from langchain import Prompt, HuggingFaceHub, LLMChain\n",
    "\n",
    "template = \"\"\"Question: {question}\n",
    "\n",
    "Answer: Let's think step by step.\"\"\"\n",
    "prompt = Prompt(template=template, input_variables=[\"question\"])\n",
    "llm_chain = LLMChain(prompt=prompt, llm=HuggingFaceHub(repo_id=\"gpt2\", temperature=1e-10))\n",
    "\n",
    "question = \"What NFL team won the Super Bowl in the year Justin Beiber was born?\"\n",
    "\n",
    "llm_chain.predict(question=question)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ae4559c7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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