Update app.py

app.py

@@ -1,4 +1,4 @@
-# ✅ Stock Recommendation Extractor from YouTube Audio (Working Pipeline)
+# ✅ Stock Recommendation Extractor from YouTube Audio (with full error reporting)
 
 import os
 import gradio as gr
@@ -114,25 +114,31 @@ def save_cookies(file):
         f.write(file.read())
     return temp_path
 
-# ✅ Full pipeline
+# ✅ Full pipeline with error traceback
 
 def run_pipeline(url, cookies_file):
-    if not WHISPER_AVAILABLE:
-        return "❌ Whisper is not installed. Run: pip install openai-whisper", ""
-    if not url:
-        return "❌ YouTube URL required", ""
+    try:
+        if not WHISPER_AVAILABLE:
+            return "❌ Whisper is not installed. Run: pip install openai-whisper", ""
+        if not url:
+            return "❌ YouTube URL required", ""
 
-    cookie_path = save_cookies(cookies_file)
-    audio_path, status = download_audio(url, cookie_path)
-    if not audio_path:
-        return status, ""
+        cookie_path = save_cookies(cookies_file)
+        audio_path, status = download_audio(url, cookie_path)
+        if not audio_path:
+            return status, ""
 
-    transcript = transcribe_audio(audio_path)
-    if transcript.startswith("❌"):
-        return transcript, ""
+        transcript = transcribe_audio(audio_path)
+        if transcript.startswith("❌"):
+            return transcript, ""
 
-    stock_info = extract_stock_info(transcript)
-    return "✅ Complete", stock_info
+        stock_info = extract_stock_info(transcript)
+        return "✅ Complete", stock_info
+
+    except Exception as e:
+        tb = traceback.format_exc()
+        print(tb)
+        return f"❌ Unhandled Error:\n{tb}", ""
 
 # ✅ Gradio Interface
 with gr.Blocks(title="Stock Insights from YouTube Audio") as demo: