Spaces:
Running
Running
File size: 3,146 Bytes
cfd3735 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 |
{
"cells": [
{
"cell_type": "markdown",
"id": "2dfc4698",
"metadata": {},
"source": [
"# HTML\n",
"\n",
">[The HyperText Markup Language or HTML](https://en.wikipedia.org/wiki/HTML) is the standard markup language for documents designed to be displayed in a web browser.\n",
"\n",
"This covers how to load `HTML` documents into a document format that we can use downstream."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "24b434b5",
"metadata": {},
"outputs": [],
"source": [
"from langchain.document_loaders import UnstructuredHTMLLoader"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "00f46fda",
"metadata": {},
"outputs": [],
"source": [
"loader = UnstructuredHTMLLoader(\"example_data/fake-content.html\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "b68a26b3",
"metadata": {},
"outputs": [],
"source": [
"data = loader.load()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "34de48fa",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[Document(page_content='My First Heading\\n\\nMy first paragraph.', lookup_str='', metadata={'source': 'example_data/fake-content.html'}, lookup_index=0)]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data"
]
},
{
"cell_type": "markdown",
"id": "00337aae",
"metadata": {},
"source": [
"## Loading HTML with BeautifulSoup4\n",
"\n",
"We can also use `BeautifulSoup4` to load HTML documents using the `BSHTMLLoader`. This will extract the text from the HTML into `page_content`, and the page title as `title` into `metadata`."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "79b1bce4",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"from langchain.document_loaders import BSHTMLLoader"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "4be99e6c",
"metadata": {
"collapsed": false,
"jupyter": {
"outputs_hidden": false
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"[Document(page_content='\\n\\nTest Title\\n\\n\\nMy First Heading\\nMy first paragraph.\\n\\n\\n', metadata={'source': 'example_data/fake-content.html', 'title': 'Test Title'})]"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"loader = BSHTMLLoader(\"example_data/fake-content.html\")\n",
"data = loader.load()\n",
"data"
]
}
],
"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": "3.10.6"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|