Update app.py

app.py

@@ -5,7 +5,7 @@ import torch
 import gradio as gr
 from transformers import pipeline
 
-# Auto-select device (GPU if available)
+# Auto-select device
 device = 0 if torch.cuda.is_available() else -1
 
 # Load summarization model
@@ -54,8 +54,8 @@ def get_youtube_transcript(video_url):
         return "Video ID could not be extracted."
 
     try:
-        # Use .fetch() instead of get_transcript (new API method)
-        transcript = YouTubeTranscriptApi.fetch(video_id)
+        api = YouTubeTranscriptApi()
+        transcript = api.fetch(video_id)  # FIXED for new API
         formatter = TextFormatter()
         text_transcript = formatter.format_transcript(transcript)
         return summary(text_transcript)
@@ -71,5 +71,5 @@ demo = gr.Interface(
     description="Summarize any YouTube video's transcript into a concise version."
 )
 
-if __name__ == "__main__":
-    demo.launch()
+# Launch with public link enabled
+demo.launch(share=True)