{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "39af9ecd",
   "metadata": {},
   "source": [
    "# EPubs\n",
    "\n",
    "This covers how to load `.epub` documents into a document format that we can use downstream. You'll need to install the [`pandocs`](https://pandoc.org/installing.html) package for this loader to work."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "721c48aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.document_loaders import UnstructuredEPubLoader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "9d3d0e35",
   "metadata": {},
   "outputs": [],
   "source": [
    "loader = UnstructuredEPubLoader(\"winter-sports.epub\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "06073f91",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = loader.load()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "525d6b67",
   "metadata": {},
   "source": [
    "## Retain Elements\n",
    "\n",
    "Under the hood, Unstructured creates different \"elements\" for different chunks of text. By default we combine those together, but you can easily keep that separation by specifying `mode=\"elements\"`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "064f9162",
   "metadata": {},
   "outputs": [],
   "source": [
    "loader = UnstructuredEPubLoader(\"winter-sports.epub\", mode=\"elements\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "abefbbdb",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = loader.load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a547c534",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Document(page_content='The Project Gutenberg eBook of Winter Sports in\\nSwitzerland, by E. F. Benson', lookup_str='', metadata={'source': 'winter-sports.epub', 'page_number': 1, 'category': 'Title'}, lookup_index=0)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "381d4139",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}