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)