Tensorflow keras -如果模型不存在，如何避免在加载h5模型时出错

import os
from tensorflow.keras.models import load_model

def load_keras_model(model_path):
    if not os.path.isfile(model_path):
        print(f"Model file not found: {model_path}")
        return None
    
    try:
        model = load_model(model_path)
        print(f"Model loaded successfully from {model_path}")
        return model
    except Exception as e:
        print(f"Failed to load model: {e}")
        return None

# Example usage
model_path = 'path/to/your/model.h5'
model = load_keras_model(model_path)

if model is not None:
    # Proceed with using the model
    pass
else:
    # Handle the case where the model could not be loaded
    pass