Update app.py

app.py

@@ -87,10 +87,10 @@ def predict(filepath):
     transformchannels = torchaudio.transforms.MuLawEncoding(quantization_channels=1)
     tensor= transformchannels (tensor)
     tensor = tensor.to(device)
-    #tensor = tensor.type(torch.LongTensor)
-    transform = torchaudio.transforms.Resample(orig_freq=sample_rate, new_freq=new_sample_rate).to(torch.long)
-    tensor = transform(tensor)
-    #tensor = model(tensor.unsqueeze(0))
+    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