Update app.py

app.py

@@ -55,10 +55,10 @@ def predict(file_upload,microphone):
 
     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):
-        file_path = microphone
     if(file_upload is not None):
         file_path = file_upload
+    if(microphone is not None):
+        file_path = microphone
     model.eval()
     with torch.no_grad():
         wav_data, _ = sf.read(file_path)
@@ -76,7 +76,7 @@ def predict(file_upload,microphone):
         logits = logits.squeeze()
         predicted_class_id = torch.argmax(logits, dim=-1).item()
 
-    return warn_output + "\n" + "You probably have SP" if predicted_class_id == 1 else "You probably don't have SP"
+    return warn_output + "\n" + "You probably have SP" if predicted_class_id == 1 else warn_output + "\n" + "You probably don't have SP"
 gr.Interface(
     fn=predict,
     inputs=[