Update app.py

app.py

@@ -580,15 +580,11 @@ def get_recommendations(keywords, max_results=5):
         return f"Error: {str(e)}"
 
 def process_youtube_video(url):
-    try:
-        import re
-        from youtube_transcript_api import YouTubeTranscriptApi, TranscriptsDisabled, NoTranscriptFound
-        from textblob import TextBlob
-
-        thumbnail = None
-        summary = "No transcript available"
-        sentiment_label = "N/A"
+    import re
+    from youtube_transcript_api import YouTubeTranscriptApi, TranscriptsDisabled, NoTranscriptFound
+    from textblob import TextBlob
 
+    try:
         # Extract video ID
         video_id = extract_video_id(url)
         if not video_id:
@@ -597,8 +593,13 @@ def process_youtube_video(url):
         # Generate thumbnail URL
         thumbnail = f"https://img.youtube.com/vi/{video_id}/maxresdefault.jpg"
 
+        # Initialize default values
+        summary = "No transcript available"
+        sentiment_label = "N/A"
+
         try:
             # Fetch transcript
+            print(f"Fetching transcript for video ID: {video_id}")
             transcript_list = YouTubeTranscriptApi.list_transcripts(video_id)
             transcript = None
             try:
@@ -612,15 +613,18 @@ def process_youtube_video(url):
                 raise ValueError("Transcript is empty")
 
             # Clean and analyze text
+            print(f"Transcript fetched successfully. Length: {len(text)} characters")
             cleaned_text = clean_text_for_analysis(text)
             sentiment = TextBlob(cleaned_text).sentiment
             sentiment_label = f"{'Positive' if sentiment.polarity > 0 else 'Negative' if sentiment.polarity < 0 else 'Neutral'} ({sentiment.polarity:.2f})"
 
             # Summarize text
             summary = f"Summary: {cleaned_text[:400]}..."
+            print(f"Sentiment analysis completed: {sentiment_label}")
 
         except (TranscriptsDisabled, NoTranscriptFound):
             # Fall back to metadata if no transcript
+            print(f"No transcript found for video ID: {video_id}")
             metadata = get_video_metadata(video_id)
             summary = metadata.get("description", "No subtitles available")
             sentiment_label = "N/A"
@@ -628,6 +632,7 @@ def process_youtube_video(url):
         return thumbnail, summary, sentiment_label
 
     except Exception as e:
+        print(f"Error processing video: {e}")
         return None, f"Error: {str(e)}", "N/A"
 
 # Test the function
@@ -637,6 +642,7 @@ print(f"Thumbnail: {thumbnail}\n")
 print(f"Summary:\n{summary}\n")
 print(f"Sentiment: {sentiment}")
 
+
 # Gradio Interface
 with gr.Blocks(theme=gr.themes.Soft()) as app:
     # Login Page