Update app.py

app.py

@@ -59,35 +59,34 @@ def actualpredict(file_path):
     return predicted_class_id
 
 
-def predict(microphone,file_upload):
+def predict(file_upload):
     
     max_length = 100000
     warn_output = " "
     ans = " "
-    file_path = microphone
-    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"
-        )
+    # file_path = file_upload
+    # 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):
-        file_path = microphone
-    if(file_upload is not None):
-        file_path = file_upload
+    # 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
 
-    predicted_class_id = actualpredict(file_path)
+    predicted_class_id = actualpredict(file_upload)
     if(predicted_class_id==0):
         ans = "no_parkinson"
     else:
         ans = "parkinson"
-    return warn_output + ans
+    return ans
 gr.Interface(
     fn=predict,
     inputs=[
-        gr.inputs.Audio(source="microphone", type="filepath", optional=True),
         gr.inputs.Audio(source="upload", type="filepath", optional=True),
     ],
     outputs="text",
@@ -95,5 +94,6 @@ gr.Interface(
     description=description,
 ).launch()
 
+        # gr.inputs.Audio(source="microphone", type="filepath", optional=True),
 # iface = gr.Interface(fn=predict, inputs="file", outputs="text")
 # iface.launch()