Update app.py

app.py

@@ -17,7 +17,7 @@ device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 # تحميل النموذج
 model = DenseShuffleGCANet(num_classes=4, handcrafted_feature_dim=41)
 model.load_state_dict(
-    torch.load("best_model.pth", map_location=device)
+    torch.load("best_model_2.pth", map_location=device)
 )
 model.to(device)
 model.eval()