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RasaHQ / rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
https://rasa.com/docs/rasa/
Apache License 2.0
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rasa-nlu flask api #1194

Closed rishikesh1205 closed 6 years ago

rishikesh1205 commented 6 years ago

can anyone please show me the python flask file to train the data in nlu and after parse a question to get the intents and entities accordingly

Mukund0007 commented 6 years ago

Hi Rishikesh, You can refer this link

Here intent-entity classifier is created as HTTP service. Each user request is directed to this service. This HTTP service generally hosted on 5000 port on a localhost, takes user input and returns a jason file with intent and entity for that particular user input. Based on intent-entity identified by HTTP service, required response is generated and displayed on flask app's front-end.

I hope it will be helpful in resolving your query. In case need some assistance write me back.

Thanks and Regards, Mukund

Mukund0007 commented 6 years ago

https://www.analyticsvidhya.com/blog/2018/01/faq-chatbots-the-future-of-information-searching/

wrathagom commented 6 years ago

@rishikesh1205 have you worked through your questions? I'm not entirely certain I understand what you are asking. Rasa NLU doesn't use flask, but rather a library called twisted. Most of the server/twisted code can be found here https://github.com/RasaHQ/rasa_nlu/blob/master/rasa_nlu/data_router.py

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