# sys_response, user_response, session_over, reward = sess.next_turn(sys_response)
# print('user:'******'sys:', sys_response)
# print()
# if session_over is True:
# break
# print('task success:', sess.evaluator.task_success())
# print('book rate:', sess.evaluator.book_rate())
# print('inform precision/recall/f1:', sess.evaluator.inform_F1())
# print('-' * 50)
# print('final goal:')
# pprint(sess.evaluator.goal)
# print('=' * 100)
history = []
user_utt = user_agent.response('')
print(user_utt)
user_utt = 'I need a restaurant . It just needs to be expensive . I am also in the market for a new restaurant . Is there something in the centre of town ? Do you have portuguese food ?'
# history.append(['user', user_utt])
sys_agent.dst.state['belief_state']['restaurant']['semi'][
'food'] = 'portuguese'
sys_utt = sys_agent.response(user_utt)
pprint(sys_agent.dst.state)
print(sys_utt)
sys_utt = "I have n't found any in the centre. I am unable to find any portuguese restaurants in town ."
# history.append(['user', user_utt])
user_utt = user_agent.response(sys_utt)
print(user_utt)
user_utt = "It just needs to be cheap ."
sys_utt = sys_agent.response(user_utt)
from pprint import pprint
rgi_queue = PriorityQueue(maxsize=0)
rgo_queue = PriorityQueue(maxsize=0)
app = Flask(__name__)
# sys_nlu = BERTNLU()
sys_nlu = MILU()
sys_dst = RuleDST()
sys_policy = RulePolicy(character='sys')
sys_nlg = TemplateNLG(is_user=False)
agent = PipelineAgent(sys_nlu, sys_dst, sys_policy, sys_nlg, 'sys')
print(agent.response('I am looking for a hotel'))
@app.route('/', methods=['GET', 'POST'])
def process():
try:
in_request = request.json
print(in_request)
except:
return "invalid input: {}".format(in_request)
rgi_queue.put(in_request)
rgi_queue.join()
output = rgo_queue.get()
print(output['response'])
rgo_queue.task_done()
# return jsonify({'response': response})
