Update app.py

app.py

@@ -43,21 +43,21 @@ The model was trained on Thai audio recordings with the following sentences: \n
 
 
 
-def predict(file_upload,microphone_path):
+def predict(file_path,microphone_path):
     max_length = 100000
-    file_path = filepath(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"
-        )
+    # file_path = filepath(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 = filepath(microphone)
-    if(file_upload is not None):
-        file_path = filepath(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 = filepath(microphone)
+    # if(file_upload is not None):
+    #     file_path = filepath(microphone)
     model.eval()
     with torch.no_grad():
         wav_data, _ = sf.read(file_path.name)