playground.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The dotenv extension is already loaded. To reload it, use:\n",
      "  %reload_ext dotenv\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "from langchain.document_loaders import BrowserlessLoader\n",
    "\n",
    "%load_ext dotenv\n",
    "%dotenv\n",
    "\n",
    "api_token = os.getenv('BROWSERLESS_API_KEY')\n",
    "\n",
    "if api_token is None:\n",
    "\traise Exception('BROWSERLESS_API_KEY not found in environment variables')\n",
    "\n",
    "loader = BrowserlessLoader(\n",
    "\tapi_token=api_token,\n",
    "\turls=[\"https://read.cv/johnbrandon\",\n",
    "\t],\n",
    "\ttext_content=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.llms import OpenAI\n",
    "from langchain.chains.qa_with_sources import load_qa_with_sources_chain\n",
    "\n",
    "documents = loader.load()\n",
    "# if documents[0]:\n",
    "# \tprint(documents[0].page_content)\n",
    "\n",
    "chain = load_qa_with_sources_chain(OpenAI(temperature=0))\n",
    "\n",
    "def print_answers(question: str):\n",
    "\tprint(chain(\n",
    "\t\t{ \"input_documents\": documents, \"question\": question },\n",
    "\t\treturn_only_outputs=True\n",
    "\t)[\"output_text\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " John Brandon has been a real estate broker in New York City for 11 years.\n",
      "SOURCES: https://read.cv/johnbrandon\n"
     ]
    }
   ],
   "source": [
    "print_answers(\"How long as the person worked as a real estate agent in New York?\")"
   ]
  }
 ],
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