Load WhatsApp Chats in LangChain with WhatsAppChatLoader

WhatsApp is one of the most popular messaging platforms globally, and being able to analyze or process WhatsApp conversations can be valuable for many applications. In this guide, we'll explore how to use LangChain's WhatsAppChatLoader to work with WhatsApp chat data.

What is WhatsAppChatLoader?

WhatsAppChatLoader is a utility class in LangChain that allows you to load and process WhatsApp chat conversations from exported chat files. It can handle both zip files and directories containing WhatsApp chat exports, converting them into structured chat sessions that can be used in your LangChain applications.

Reference

Here are the main methods available in WhatsAppChatLoader:

How to Use WhatsAppChatLoader

Getting Your WhatsApp Chat Data

Before using the loader, you'll need to export your WhatsApp chat:

1. Open the WhatsApp chat you want to export
2. Click the three dots in the top right corner
3. Select "More" followed by "Export chat"
4. Choose "Without media" when prompted

Basic Usage

Here's how to load a WhatsApp chat file:

from langchain_community.chat_loaders import WhatsAppChatLoader

# Initialize the loader with your chat export
loader = WhatsAppChatLoader("path/to/your/whatsapp_chat.txt")

# Load all chat sessions
chat_sessions = loader.load()

Lazy Loading for Large Chat Files

If you're working with large chat exports, you might want to use lazy loading to conserve memory:

from langchain_community.chat_loaders import WhatsAppChatLoader

loader = WhatsAppChatLoader("path/to/your/whatsapp_chat.txt")

# Iterate through chat sessions one at a time
for chat_session in loader.lazy_load():
    # Process each chat session individually
    process_chat_session(chat_session)

Working with Different Export Formats

WhatsAppChatLoader can handle various export formats:

# Loading from a ZIP file
loader = WhatsAppChatLoader("path/to/exported_chat.zip")

# Loading from a directory
loader = WhatsAppChatLoader("path/to/chat_export_directory/")

# Loading from a single text file
loader = WhatsAppChatLoader("path/to/chat.txt")

Each chat session loaded will contain the messages in a structured format that you can use for further processing, analysis, or integration with other LangChain components.

Remember that the loader will only process text content, as we recommended exporting "Without media" to ensure compatibility. If you need to work with media files, you'll need to handle those separately using appropriate tools for media processing.

You can use the loaded chat sessions for various purposes such as:

• Training language models on conversation patterns
• Analyzing conversation history
• Creating chatbots that learn from real conversations
• Extracting insights from chat data

The WhatsAppChatLoader makes it easy to incorporate WhatsApp chat data into your LangChain applications while handling the parsing and structuring of the chat data for you.