Harrison/whatsapp loader (#2085)

Co-authored-by: Moshe <hello@moshemalka.me>

docs/modules/indexes/document_loaders/examples/example_data/whatsapp_chat.txt

@@ -0,0 +1,11 @@
+1/22/23, 6:30 PM - User 1: Hi! Im interested in your bag. Im offering $50. Let me know if you are interested. Thanks!
+1/22/23, 8:24 PM - User 2: Goodmorning! $50 is too low.
+1/23/23, 2:59 AM - User 1: How much do you want?
+1/23/23, 3:00 AM - User 2: Online is at least $100
+1/23/23, 3:01 AM - User 2: Here is $129
+1/23/23, 3:01 AM - User 2: <Media omitted>
+1/23/23, 3:01 AM - User 1: Im not interested in this bag. Im interested in the blue one!
+1/23/23, 3:02 AM - User 1: I thought you were selling the blue one!
+1/23/23, 3:18 AM - User 2: No Im sorry it was my mistake, the blue one is not for sale
+1/23/23, 3:19 AM - User 1: Oh no worries! Bye
+1/23/23, 3:19 AM - User 2: Bye!

docs/modules/indexes/document_loaders/examples/whatsapp_chat.ipynb

@@ -0,0 +1,67 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### WhatsApp Chat\n",
+    "\n",
+    "This notebook covers how to load data from the WhatsApp Chats into a format that can be ingested into LangChain."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain.document_loaders import WhatsAppChatLoader"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "loader = WhatsAppChatLoader(\"example_data/whatsapp_chat.txt\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "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": "3.11.1"
+  },
+  "vscode": {
+   "interpreter": {
+    "hash": "384707f4965e853a82006e90614c2e1a578ea1f6eb0ee07a1dd78a657d37dd67"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}