Delete extract.py

extract.py

@@ -1,19 +0,0 @@
-import pdfplumber
-import pandas as pd
-import re
-
-def extract_upi_transactions(pdf_path):
-    transactions = []
-    
-    with pdfplumber.open(pdf_path) as pdf:
-        for page in pdf.pages:
-            text = page.extract_text()
-            if text:
-                lines = text.split("\n")
-                for line in lines:
-                    match = re.search(r'(\d{2}-\d{2}-\d{4})\s+([\w\s]+)\s+₹([\d,.]+)', line)
-                    if match:
-                        date, description, amount = match.groups()
-                        transactions.append({"Date": date, "Description": description, "Amount": float(amount.replace(",", ""))})
-    
-    return pd.DataFrame(transactions)