Update app.py

app.py

@@ -45,10 +45,7 @@ def inference(re_im, session, onnx_model, input_names, output_names):
                                        dtype=np.float32)
               for i, _input in enumerate(onnx_model.graph.input)
               }
-    inputs = {input_names[i]: np.zeros([d.dim_value for d in _input.type.tensor_type.shape.dim],
-                                       dtype=np.float16)
-              for i, _input in enumerate(onnx_model.graph.input)
-              }
+
     output_audio = []
     for t in range(re_im.shape[0]):
         inputs[input_names[0]] = re_im[t]
@@ -143,8 +140,7 @@ hann = torch.sqrt(torch.hann_window(window))
 lossy_input_tensor = torch.tensor(lossy_input)
 re_im = torch.stft(lossy_input_tensor, window, stride, window=hann, return_complex=False).permute(1, 0, 2).unsqueeze(
     1).numpy().astype(np.float32)
-re_im = torch.stft(lossy_input_tensor, window, stride, window=hann, return_complex=False).permute(1, 0, 2).unsqueeze(
-    1).numpy().astype(np.float16)
+
 
 session, onnx_model, input_names, output_names = load_model(model_ver)