Update app.py

app.py

@@ -120,10 +120,10 @@ trainer = Trainer()
  #   y_hat = model(wav_tensor)
 
 def transcribe(audio):
-    #resmaple = torchaudio.transforms.Resample(8000, 16000)
-    #wav_tensor,_ = torchaudio.load(audio,map_location=torch.device('cpu'))
-    sr, wav_tensor = audio
-    #wav_tensor = resmaple(wav_tensor)
+    resmaple = torchaudio.transforms.Resample(8000, 16000)
+    wav_tensor,_ = torchaudio.load(audio,map_location=torch.device('cpu'))
+    #sr, wav_tensor = audio
+    wav_tensor = resmaple(wav_tensor)
     #model = model.to('cuda') 
     y_hat = model.predict(wav_tensor)
     labels = {0:"branch_address : enquiry about bank branch location",
@@ -144,6 +144,6 @@ def transcribe(audio):
 
 
 get_intent = gr.Interface(fn = transcribe,
-                          inputs=gr.Audio(source="microphone"),
+                          inputs=gr.Audio(source="microphone", type="filepath"),
                           outputs="text").launch()