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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _load_keras_model(model_network_path, model_weight_path, custom_objects=None):
 """Load a keras model from disk Parameters model_network_path: str Path where the model network path is (json file) model_weight_path: str Path where the model network weights are (hd5 file) custom_objects: A dictionary of layers or other custom classes or functions used by the model Returns ------- model: A keras model """

    from keras.models import model_from_json
    import json

    # Load the model network
    json_file = open(model_network_path, 'r')
    loaded_model_json = json_file.read()
    json_file.close()

    if not custom_objects:
        custom_objects = {}

    # Load the model weights
    loaded_model = model_from_json(loaded_model_json, custom_objects=custom_objects)
    loaded_model.load_weights(model_weight_path)

    return loaded_model