Update app.py

Fixed the correct model name to load

app.py

@@ -35,7 +35,7 @@ mis_classified_df = mis_classified_df.sample(frac=1)
 device = torch.device("cuda")
 
 model1 = custResNet()
-model1.load_state_dict(torch.load('cust_resnet_model_saved1.pth', map_location=torch.device('cpu')), strict=False)
+model1.load_state_dict(torch.load('custom_resnet_model.pth', map_location=torch.device('cpu')), strict=False)
 model1.eval()
 
 transform = transforms.Compose([