Update app.py

app.py

@@ -41,8 +41,8 @@ def load_model(model):
     return session, onnx_model, input_names, output_names
 
 def inference(re_im, session, onnx_model, input_names, output_names):
-    inputs = {input_names[i]: torch.from_numpy(np.zeros([d.dim_value for d in _input.type.tensor_type.shape.dim],
-                                       dtype=np.float32)).type(torch.float16)
+    inputs = {input_names[i]: np.zeros([d.dim_value for d in _input.type.tensor_type.shape.dim],
+                                       dtype=np.float32))
               for i, _input in enumerate(onnx_model.graph.input)
               }