Update app.py

app.py

@@ -13,7 +13,7 @@ classes = ['airplane', 'automobile', 'bird', 'cat', 'deer',
 # Load ResNet18 model and adapt final layer for CIFAR-10
 resnet18 = models.resnet18(pretrained=True)
 resnet18.fc = torch.nn.Linear(resnet18.fc.in_features, 10)  # Replace final layer
-resnet18.load_state_dict(torch.load("/content/sample_data/resnet18_fft_cifar10.pth", map_location=torch.device('cpu')))
+resnet18.load_state_dict(torch.load("resnet18_fft_cifar10.pth", map_location=torch.device('cpu')))
 resnet18.eval()
 
 # Image transform