Update app.py

app.py

@@ -16,8 +16,8 @@ forced_decoder_ids = processor.get_decoder_prompt_ids(language="italian", task="
 
 # Custom preprocessing function
 def preprocess_audio(audio_data, sampling_rate=16_000):
-    # Ensure that the input data is a valid format for the model
-    # Convert the audio data to a numpy array with a correct shape
+    print(type(audio_data))
+    print(audio_data)
     raw_speech = np.asarray(audio_data, dtype=np.float32)
 
     # Pad or truncate the audio data to the required length