Update app.py

app.py

@@ -7,15 +7,15 @@ import librosa
 feature_extractor = Wav2Vec2FeatureExtractor.from_pretrained("superb/hubert-large-superb-er")
 
 def get_emotion(microphone, file_upload, task):
- warn_output = ""
+ warn_output = ""
  
- if (microphone is not None) and (file_upload is not None):
- warn_output = (
- "WARNING: You've uploaded an audio file and used the microphone. "
- "The recorded file from the microphone will be used and the uploaded audio will be discarded.\n"
- )
- elif (microphone is None) and (file_upload is None):
- return "ERROR: You have to either use the microphone or upload an audio file"
+ if (microphone is not None) and (file_upload is not None):
+ warn_output = (
+ "WARNING: You've uploaded an audio file and used the microphone. "
+ "The recorded file from the microphone will be used and the uploaded audio will be discarded.\n"
+ )
+ elif (microphone is None) and (file_upload is None):
+ return "ERROR: You have to either use the microphone or upload an audio file"
 
  file = microphone if microphone is not None else file_upload
  test = feature_extractor(file, sampling_rate=16000, padding=True, return_tensors="pt" ).to(torch.float32)