Update app.py

app.py

@@ -46,6 +46,7 @@ The model was trained on Thai audio recordings with the following sentences: \n
 def predict(file_upload,microphone):
     max_length = 100000
     file_path =file_upload
+    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. "
@@ -75,7 +76,7 @@ def predict(file_upload,microphone):
         logits = logits.squeeze()
         predicted_class_id = torch.argmax(logits, dim=-1).item()
 
-    return "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 "You probably don't have SP"
 gr.Interface(
     fn=predict,
     inputs=[