Update app.py

app.py

@@ -50,12 +50,12 @@ if video_file:
         # Function to transcribe audio in chunks
         def transcribe_audio_in_chunks(audio_path, model, chunk_length=30):
             audio_clip = whisper.load_audio(audio_path)
-            audio_duration = whisper.get_duration(audio_clip)
+            audio_duration = len(audio_clip) / whisper.SAMPLE_RATE  # Get audio duration in seconds
             segments = []
 
             for start in np.arange(0, audio_duration, chunk_length):
                 end = min(start + chunk_length, audio_duration)
-                segment = audio_clip[int(start * 16000):int(end * 16000)]  # Convert to the right format
+                segment = audio_clip[int(start * whisper.SAMPLE_RATE):int(end * whisper.SAMPLE_RATE)]  # Convert to the right format
                 result = model.transcribe(segment)
                 segments.append(result['text'])
 
@@ -81,8 +81,10 @@ if video_file:
             st.audio(audio_output_path, format="audio/mp3")
         except Exception as e:
             st.error(f"Error during transcription/translation: {e}")
+            audio_output_path = None  # Ensure this variable is defined
 
         # Clean up temporary files
         os.remove(temp_video_path)
         os.remove(audio_path)
-        os.remove(audio_output_path)
+        if audio_output_path:  # Only remove if it was created
+            os.remove(audio_output_path)