Update app.py

app.py

@@ -9,6 +9,15 @@ torch.hub.download_url_to_file("https://github.com/pytorch/hub/raw/master/images
 model = torch.hub.load('pytorch/vision:v0.10.0', 'shufflenet_v2_x1_0', pretrained=True)
 model.load_state_dict(torch.load('shufflenetv2_x1-5666bf0f80.pth'))
 
+ # To export
+ model = torch.hub.load('pytorch/vision:v0.10.0', 'shufflenet_v2_x1_0', pretrained=True).eval()
+ traced_graph = torch.jit.trace(model, torch.randn(1, 3, H, W))
+ traced_graph.save('shufflenet.pth')
+
+ # To load
+ model = torch.jit.load('shufflenet.pth').eval().to(device)
+
+
 os.system("wget https://raw.githubusercontent.com/pytorch/hub/master/imagenet_classes.txt")
 
 def inference(input_image):