Update app.py

app.py

@@ -45,7 +45,7 @@ The model was trained on Thai audio recordings with the following sentences: \n
 
 def predict(file_upload,microphone_path):
     max_length = 100000
-    file_path = file_upload
+    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. "
@@ -55,9 +55,9 @@ def predict(file_upload,microphone_path):
     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
+        file_path = filepath(microphone)
     if(file_upload is not None):
-        file_path = file_upload
+        file_path = filepath(microphone)
     model.eval()
     with torch.no_grad():
         wav_data, _ = sf.read(file_path.name)