# 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})