Harrison/telegram loader (#1080)

Co-authored-by: Maxime Vidal <max.vidal@hotmail.fr>
This commit is contained in:
Harrison Chase
2023-02-15 23:24:32 -08:00
committed by GitHub
parent a1c296bc3c
commit c60954d0f8
5 changed files with 169 additions and 3 deletions

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@@ -93,7 +93,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.9"
"version": "3.9.1"
}
},
"nbformat": 4,

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@@ -0,0 +1,31 @@
{
"name": "Grace 🧤",
"type": "personal_chat",
"id": 2730825451,
"messages": [
{
"id": 1980499,
"type": "message",
"date": "2020-01-01T00:00:02",
"from": "Henry",
"from_id": 4325636679,
"text": "It's 2020..."
},
{
"id": 1980500,
"type": "message",
"date": "2020-01-01T00:00:04",
"from": "Henry",
"from_id": 4325636679,
"text": "Fireworks!"
},
{
"id": 1980501,
"type": "message",
"date": "2020-01-01T00:00:05",
"from": "Grace 🧤 🍒",
"from_id": 4720225552,
"text": "You're a minute late!"
}
]
}

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@@ -0,0 +1,84 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "33205b12",
"metadata": {},
"source": [
"# Telegram\n",
"\n",
"This notebook covers how to load data from Telegram into a format that can be ingested into LangChain."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "90b69c94",
"metadata": {},
"outputs": [],
"source": [
"from langchain.document_loaders import TelegramChatLoader"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "13deb0f5",
"metadata": {},
"outputs": [],
"source": [
"loader = TelegramChatLoader(\"example_data/telegram.json\")"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "9ccc1e2f",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[Document(page_content=\"Henry on 2020-01-01T00:00:02: It's 2020...\\n\\nHenry on 2020-01-01T00:00:04: Fireworks!\\n\\nGrace 🧤 ðŸ\\x8d on 2020-01-01T00:00:05: You're a minute late!\\n\\n\", lookup_str='', metadata={'source': 'example_data/telegram.json'}, lookup_index=0)]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"loader.load()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3e64cac2",
"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": "3.9.1"
}
},
"nbformat": 4,
"nbformat_minor": 5
}