Update app.py

app.py

@@ -43,8 +43,19 @@ The model was trained on Thai audio recordings with the following sentences:
 
 
 
-def predict(file_path):
+def predict(microphone,file_upload):
+    
     max_length = 100000
+    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"
+    file_path = microphone if microphone is not None else file_upload
 
     model.eval()
     with torch.no_grad():
@@ -66,7 +77,7 @@ def predict(file_path):
         ans = "no_parkinson"
     else:
         ans = "parkinson"
-    return ans
+    return warn_output + ans
 gr.Interface(
     fn=predict,
     inputs=[