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Browse files- whatsapp_chat_custom.py +49 -0
whatsapp_chat_custom.py
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# created custom class for WhatsAppChatLoader - because original langchain one isnt working
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import re
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from pathlib import Path
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from typing import List
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from langchain.docstore.document import Document
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from langchain.document_loaders.base import BaseLoader
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def concatenate_rows(date: str, sender: str, text: str) -> str:
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"""Combine message information in a readable format ready to be used."""
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return f"{sender} on {date}: {text}\n\n"
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# def concatenate_rows(date: str, sender: str, text: str) -> str:
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# """Combine message information in a readable format ready to be used."""
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# return f"{text}\n"
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class WhatsAppChatLoader(BaseLoader):
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"""Load `WhatsApp` messages text file."""
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def __init__(self, path: str):
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"""Initialize with path."""
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self.file_path = path
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def load(self) -> List[Document]:
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"""Load documents."""
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p = Path(self.file_path)
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text_content = ""
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ignore_lines = ["This message was deleted", "<Media omitted>"]
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#########################################################################################
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# original code from langchain replaced with this code
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#########################################################################################
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# use https://whatstk.streamlit.app/ to get CSV
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import pandas as pd
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df = pd.read_csv(p)[['date', 'username', 'message']]
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for i,row in df.iterrows():
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date = row['date']
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sender = row['username']
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text = row['message']
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if not any(x in text for x in ignore_lines):
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text_content += concatenate_rows(date, sender, text)
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metadata = {"source": str(p)}
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return [Document(page_content=text_content.strip(), metadata=metadata)]
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