Create app.py

app.py

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+import torch
+from your_model_file import AdvancedFusionModel # Make sure to have your model definition available
+
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+
+model = (num_classes=45) # Example for NWPU-RESISC45, adjust as needed
+
+model_path = "path/to/your/model_weights.pth" # e.g., 'uc_aid_nwpu_weights.pth'
+model.load_state_dict(torch.load(model_path, map_location=device))
+model.to(device)
+model.eval()