input: Write a python function to predict customer queries using Rasa.
  assert predict_query('I need a product with high durability')['intent']['name'] == 'product_query'
  assert predict_query('Can you help me with my order?')['intent']['name'] == 'order_help'
  assert predict_query('What is the return policy?')['intent']['name'] == 'return_policy'
output: def predict_query(query):
      from rasa.nlu.model import Interpreter
      interpreter = Interpreter.load('./models/nlu')
      result = interpreter.parse(query)
      return result