Update app.py

app.py

@@ -11,9 +11,8 @@ transform = transforms.Compose([
     transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])
 ])
 
-model = models.resnet18()
-num_ftrs = model.fc.in_features
-model.fc = nn.Linear(num_ftrs, 2)
+model = models.mobilenet_v3_large(pretrained=True)
+model.classifier[3] = nn.Linear(model.classifier[3].in_features, 2)
 model = model.to("cpu")
 model.load_state_dict(torch.load("cnn_model.pth", weights_only=True, map_location="cpu"))
 model.eval()