Update app.py

app.py

@@ -23,9 +23,10 @@ def transcribe_and_analyze(audio_path):
         audio = audio_tensor.numpy()  # Convert back to numpy array
     
     # Process audio with Whisper
-    input_features = processor(audio, sampling_rate=16000, return_tensors="pt").input_features
+    input_features = processor(audio, sampling_rate=16000, return_tensors="pt")
+    print(input_features)
     print('trans')
-    predicted_ids = model.generate(input_features)
+    predicted_ids = model.generate(input_features.input_features)
     
     transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)[0]
     print(transcription)