Update app.py

app.py

@@ -4,6 +4,7 @@ from langdetect import detect
 from transformers import pipeline
 from keybert import KeyBERT
 import os
+import re
 
 # --- SETUP ---
 openai.api_key = os.getenv("OPENAI_API_KEY")  # Set in HF Space Secrets
@@ -20,6 +21,50 @@ BRANDS = [
     "Bajaj Finserv", "SBI Securities", "YES Securities", "IDFC FIRST", "CAMS", "Karvy", "LIC", "ICICI Prudential"
 ]
 
+NEGATIVE_KEYWORDS = [
+    kw.lower() for kw in [
+        "Assuring return", "Invest with us and earn", "Profit Share", "Password share",
+        "Unauthorised trade", "without consent order", "Fake advisor", "Arrest took money",
+        "False promise", "Raid", "Imposing Angel broking", "Impersonation angel one",
+        "Impersonation angel broking", "Fraud cheat", "Portfolio Management Service",
+        "Guarantee return", "Guaranteed return", "Tampered document", "Fake document",
+        "Forged document", "Promising huge return", "Ponzi Dabba", "Synchronised trade",
+        "Made huge profit", "Siphon amount", "Strategy During Market at Angel One",
+        "Account Handling", "Fixed Income from Market", "Weekly Expiry Make Money",
+        "Imposing Angel One", "Profit Share", "Profit Sharing", "Password Sharing",
+        "Password Share", "Unauthorized Trade", "Advisory Services", "Fake Avdisory",
+        "Arrest", "Took Money", "Fraud", "Cheat", "Portfolio Management Services", "PMS",
+        "Gurantee Return", "Guranteed Return", "Huge Return", "Ponzi", "Dabba",
+        "Make Huge Profit", "Siphon Amount", "Accout Handling", "Account Handling Services",
+        "Weekly Expire Make Money", "Account Handling聽", "Account Handle", "huge profit",
+        "advisor", "advisory", "assured return", "Premium Advice", "Free Advice",
+        "Free Advisory", "Life time free paid calls", "free paid calls", "paid calls",
+        "premium advisory", "Get Free Advice", "free calls with accuracy", "Free calls",
+        "Options Intraday Tips", "Equity call Intraday", "Equity call Intraday & Delivery",
+        "Equity call Delivery", "Premium advisor", "Gurantee Return Services",
+        "Guranteed Return Services", "advisor Services", "assured return Services",
+        "Premium Advice Services", "Free Advice Services", "Free Advisory Services",
+        "Life time free paid calls Services", "free paid calls Services", "paid calls Services",
+        "premium advisory Services", "Stock Recommendation", "Amount Doubling",
+        "Best Trade Level In Nifty, Bank Nifty With Accuracy", "Daily Accurate Calls",
+        "Earn Profit", "Expert Calls", "Fixe Profit Commitment", "Fixed Return", "For Jackpot Trade",
+        "Good Profits Daily", "Guaranteed Profit", "Paid Investment Plans", "Jackpot Call",
+        "Loss & Profit Sharing", "Nifty Bank-Nifty And Stock Option Calls .", "Pay & Get (Amount)",
+        "Sure Shot Calls", "Tips Provide", "Stock tips", "losses", "stock picks", "Multibagger picks",
+        "High return on investmentInsider Trading Offer/Scheme", "Advance Fee Fraud", "Pyramid Scheme",
+        "Boiler Room Scam", "Municipal Securities updates", "Churning offers", "Front Running Amount",
+        "Wash Trading Amount", "Bear Raiding", "Account Takeover", "Binary Options",
+        "Unregistered Securities", "High-Yield Investment Program", "Forex Amount", "Smurfing offers",
+        "Invest Quickly", "Trading account opening offer", "Discount on trading account",
+        "Bonus on Opening account", "Bull Capturing", "Confirmed Swing Options",
+        "Get Dividend every month", "Penny Stock recommendation", "Bawaal Stock Dhamaal return",
+        "From thousand to Crores portfolio", "Multibagger stock tips", "Best Over sold stocks",
+        "Best Over bought stocks", "High dividend yield stocks", "Future stock recommendation",
+        "Growth scanners", "Growth Screeners", "Bullish stock recommendation", "Bull stocks recommendation",
+        "Bearish stock recommendation", "Bear stocks recommendation"
+    ]
+]
+
 def extract_brands(text):
     found = [brand for brand in BRANDS if brand.lower() in text.lower()]
     return found if found else ["None detected"]
@@ -29,6 +74,16 @@ def extract_topics(text, top_n=5):
     topics = [kw for kw, score in keywords]
     return topics if topics else ["None extracted"]
 
+def extract_negative_keywords(text):
+    if not text:
+        return []
+    text_lc = text.lower()
+    matches = []
+    for kw in NEGATIVE_KEYWORDS:
+        if kw in text_lc:
+            matches.append(kw)
+    return list(set(matches)) if matches else ["None detected"]
+
 def make_bullets(summary):
     sentences = summary.replace("\n", " ").split('. ')
     bullets = [f"- {s.strip()}" for s in sentences if s.strip()]
@@ -50,7 +105,7 @@ def make_str(val):
 
 def process_audio(audio_path):
     if not audio_path or not isinstance(audio_path, str):
-        return ("No audio file provided.", "", "", "", "", "")
+        return ("No audio file provided.", "", "", "", "", "", "")
     try:
         with open(audio_path, "rb") as audio_file:
             transcript = openai.audio.transcriptions.create(
@@ -60,7 +115,7 @@ def process_audio(audio_path):
             )
         transcript = make_str(transcript).strip()
     except Exception as e:
-        return (f"Error in transcription: {e}", "", "", "", "", "")
+        return (f"Error in transcription: {e}", "", "", "", "", "", "")
     try:
         detected_lang = detect(transcript)
         lang_text = {'en': 'English', 'hi': 'Hindi', 'ta': 'Tamil'}.get(detected_lang, detected_lang)
@@ -86,13 +141,15 @@ def process_audio(audio_path):
     brands = extract_brands(transcript_en)
     topics = extract_topics(transcript_en)
     key_takeaways = make_bullets(summary)
+    negatives = extract_negative_keywords(transcript_en)
     return (
         lang_text,
         transcript,
         transcript_en,
         ", ".join(brands),
         ", ".join(topics),
-        key_takeaways
+        key_takeaways,
+        ", ".join(negatives)
     )
 
 iface = gr.Interface(
@@ -104,10 +161,11 @@ iface = gr.Interface(
         gr.Textbox(label="English Transcript (if translated)"),
         gr.Textbox(label="Indian Brokerages & Fintech Brands Detected"),
         gr.Textbox(label="Key Topics"),
-        gr.Textbox(label="Bulleted Key Takeaways")
+        gr.Textbox(label="Bulleted Key Takeaways"),
+        gr.Textbox(label="Negative Keywords Detected")
     ],
-    title="Audio to Text & Insights Generation",
-    description="Upload your audio file (MP3/WAV). Get key insights!"
+    title="Audio Brand, Topic, and Scam Keyword Analysis for Indian Finance Apps",
+    description="Upload your audio file (MP3/WAV). Get transcript, summary, Indian brokerage/fintech brand & scam keyword detection, key topics, and a bulleted summary. Powered by OpenAI Whisper and BART."
 )
 
 iface.launch()