nlu_model.py

 from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 from __future__ import unicode_literals

 # from rasa_nlu.converters import load_data
 from rasa_nlu.training_data import load_data

 from rasa_nlu.config import RasaNLUModelConfig
 #from rasa_nlu.config import RasaNLUConfig
 from rasa_nlu.model import Trainer, Metadata, Interpreter
 from rasa_nlu import config

 def train (data, config_file, model_dir):
     training_data = load_data(data)
     configuration = config.load(config_file)
     trainer = Trainer(configuration)
     trainer.train(training_data)
     model_directory = trainer.persist(model_dir, fixed_model_name = 'chat')

 def run():
    interpreter = Interpreter.load('./models/nlu/default/chat')
    print(interpreter.parse('I want to order pizza'))
    #print(interpreter.parse(u'What is the reivew for the movie Die Hard?'))

 if __name__ == '__main__':
     train('./data/training_data.json', './config/config.yml', './models/nlu')
     #run()