Update app.py

app.py

@@ -119,10 +119,9 @@ def predict(filepath):
     tensor = tensor.type(torch.LongTensor)
     transform = torchaudio.transforms.Resample(orig_freq=sample_rate, new_freq=new_sample_rate)
     tensor = transform(tensor)
-    #tensor = model(tensor.unsqueeze(0))
-    #tensor = get_likely_index(tensor)
-    #tensor = index_to_label(tensor.squeeze())
-    #return tensor
+    tensor = model(tensor.unsqueeze(0))
+    tensor = get_likely_index(tensor)
+    tensor = index_to_label(tensor.squeeze())
     return tensor 
     
 model = torch.load('export.pkl',map_location=torch.device('cpu'))