def METHOD_NAME(self,extract_dir):
    # Identify the newest trained nlu model
    path = self.nlu_model_directory
    files = os.listdir(path)
    paths = [os.path.join(path, basename) for basename in files if ('.tar' in basename)]
    file_name = max(paths, key=os.path.getctime)
    # Extract the model to a temporary directory
    tf = tarfile.open(file_name)
    tf.extractall(path=extract_dir)