Update app.py

app.py

@@ -30,12 +30,22 @@ def summarize(video_url: str):
     if not video_id:
         return "Invalid YouTube URL. Please provide a standard watch link or shorts URL."
 
+    # Robust transcript extraction using modern instance API
+    transcript_text = ""
     try:
-        transcript_list = YouTubeTranscriptApi.get_transcript(video_id)
-        transcript_text = " ".join([t['text'] for t in transcript_list])
+        ytt_api = YouTubeTranscriptApi()
+        fetched = ytt_api.fetch(video_id)
+        if hasattr(fetched, 'to_raw_data'):
+            raw_entries = fetched.to_raw_data()
+        else:
+            raw_entries = fetched
+        transcript_text = " ".join([item['text'] if isinstance(item, dict) else item.text for item in raw_entries])
     except Exception as e:
         return f"Could not retrieve transcript: {str(e)}\n\nPlease ensure the video has closed captions/subtitles available."
 
+    if not transcript_text.strip():
+        return "No text could be extracted from this video's subtitles."
+
     try:
         completion = client.chat.completions.create(
             model="llama-3.3-70b-versatile",
@@ -71,7 +81,7 @@ demo = gr.Interface(
     ),
     outputs=gr.Markdown(label="BriefTube Synthesis & Intelligence"),
     title="BriefTube AI — Video Intelligence Platform",
-    description="Asynchronous multimodal video summarization pipeline powered by Meta Llama 3.3 70B via Groq LPUs.",
+    description="Asynchronous video summarization pipeline powered by Meta Llama 3.3 70B via Groq LPUs.",
     examples=[
         ["https://www.youtube.com/watch?v=aircAruvnKk"]
     ]