Update app.py

app.py

@@ -7,12 +7,17 @@ import sys
 import FFV1MT_MS
 import flow_tools
 
+if torch.cuda.is_available():
+  generator = torch.Generator('cuda').manual_seed(seed)
+else:
+  generator = torch.Generator().manual_seed(seed)
+    
 model = FFV1MT_MS.FFV1DNN()
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
 print('Number fo parameters: {}'.format(model.num_parameters()))
 model.to(device)
-model_dict = torch.load('Model_example.pth.tar', map_location=device)['state_dict']
+model_dict = torch.load('Model_example.pth.tar')['state_dict']
 # save model
 model.load_state_dict(model_dict, strict=True)
 model.eval()