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import keras
MODEL_REPO = "KalalukaP/soil-moisture-model"
print("=" * 60) print("ZASI SMART IRRIGATION - STARTING") print("=" * 60) print(f"Model repository: {MODEL_REPO}")
try: model = keras.saving.load_model( f"hf://{MODEL_REPO}" )
print("Model loaded successfully.")
print(f"Model type: {type(model).__name__}")
except Exception as e: print(f"ERROR: Failed to load model: {e}") raise
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