Update app.py

app.py

@@ -34,15 +34,13 @@ async def transcribe_audio(file: UploadFile = File(...)):
         audio_bytes = await file.read()
         audio_array, sampling_rate = librosa.load(io.BytesIO(audio_bytes), sr=processor.feature_extractor.sampling_rate)
 
-        
+        # speech_timestamps = get_speech_timestamps(
+        #   torch.from_numpy(audio_array),
+        #   model,
+        #   return_seconds=True,  # Return speech timestamps in seconds (default is samples)
+        # )
 
-        speech_timestamps = get_speech_timestamps(
-          torch.from_numpy(audio_array),
-          model,
-          return_seconds=True,  # Return speech timestamps in seconds (default is samples)
-        )
-
-        print(speech_timestamps)
+        # print(speech_timestamps)
 
         inputs = processor(
             audio_array,