Update app.py

app.py

@@ -12,7 +12,10 @@ transform = transforms.Compose([
 ])
 
 model = models.mobilenet_v3_large(pretrained=True)
-model.classifier[3] = nn.Linear(model.classifier[3].in_features, 2)
+model.classifier[3] = nn.Sequential(
+    nn.Dropout(0.3),
+    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()