{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Facebook Chat\n", "\n", ">[Messenger](https://en.wikipedia.org/wiki/Messenger_(software)) is an American proprietary instant messaging app and platform developed by `Meta Platforms`. Originally developed as `Facebook Chat` in 2008, the company revamped its messaging service in 2010.\n", "\n", "This notebook covers how to load data from the [Facebook Chats](https://www.facebook.com/business/help/1646890868956360) into a format that can be ingested into LangChain." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# pip install pandas" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "tags": [] }, "outputs": [], "source": [ "from langchain.document_loaders import FacebookChatLoader" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "tags": [] }, "outputs": [], "source": [ "loader = FacebookChatLoader(\"example_data/facebook_chat.json\")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "tags": [] }, "outputs": [ { "data": { "text/plain": [ "[Document(page_content='User 2 on 2023-02-05 03:46:11: Bye!\\n\\nUser 1 on 2023-02-05 03:43:55: Oh no worries! Bye\\n\\nUser 2 on 2023-02-05 03:24:37: No Im sorry it was my mistake, the blue one is not for sale\\n\\nUser 1 on 2023-02-05 03:05:40: I thought you were selling the blue one!\\n\\nUser 1 on 2023-02-05 03:05:09: Im not interested in this bag. Im interested in the blue one!\\n\\nUser 2 on 2023-02-05 03:04:28: Here is $129\\n\\nUser 2 on 2023-02-05 03:04:05: Online is at least $100\\n\\nUser 1 on 2023-02-05 02:59:59: How much do you want?\\n\\nUser 2 on 2023-02-04 22:17:56: Goodmorning! $50 is too low.\\n\\nUser 1 on 2023-02-04 14:17:02: Hi! Im interested in your bag. Im offering $50. Let me know if you are interested. Thanks!\\n\\n', metadata={'source': 'example_data/facebook_chat.json'})]" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "loader.load()" ] } ], "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" }, "vscode": { "interpreter": { "hash": "384707f4965e853a82006e90614c2e1a578ea1f6eb0ee07a1dd78a657d37dd67" } } }, "nbformat": 4, "nbformat_minor": 4 }