This is my first question maybe I say not good , but it will be better .ok now I will say my question. when I run my project on my notebook computer (CPU I7 8750H GTX 1060 RAM 32G) if the answer need to predict it will be slow in action . I found the same [question]( http://forum.rasa.com/t/rasa-nlu- slow-response-on-localhost-machine/10254) but I don’t think it can help me . I found some is slowly such as processor.py 91 processor.py 91 wupj_start_time = t.time() await self._predict_and_execute_next_action(message, tracker) print("processor_91 cot:", (t.time() - wupj_start_time)) action.py 402 wupj_start_time = t.time() response = await self.action_endpoint.request( json=json_body, method="post", timeout=DEFAULT_REQUEST_TIMEOUT ) print("self.action_endpoint.request(action402) cost:", (t.time() - wupj_start_time)) wupj_start_time = t.time() should_predict_another_action = await self._run_action( action, tracker, message.output_channel, self.nlg, policy, confidence ) print("368-->", action) print("processor_362:_run_action:", (t.time() - wupj_start_time)) but I also print time in my actions but my action not need much time can any one give me some suggests. what is wrong with me and how can I do .

It is too slow too reply when I run in location pc

BigDuck (wupj) September 5, 2019, 9:27am 7

ok no problem ，I will send my project to you in my free .if there are something wrong or unreasonable please help me point out. It’s my 'hello world ’ with rasa . thank you very much

Performance issue with action end point

Including slot values in Core Output

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It is too slow too reply when I run in location pc

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