code: def _load_keras_model(model_network_path, model_weight_path, custom_objects=None):
      
      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
docs: 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