Skip to content

challabeehyv/Weather-bot

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

weather-bot

Rasa NLU/Core Weather Bot

Current configuration supports training, command-line interface and HTTP server API.

Dependencies

  • pip install rasa_nlu
  • pip install rasa-core
  • pip install weather-api

Train

First you need to train your bot. You can do that by simply running: python trainer.py train-all

This will train both the NLU and Stories using Tensorflow machine learning.

Run CMD

To run in command line just call: python bot.py run

Run Server

To run as a server you need to call: python -m rasa_core.server -d models/dialogue -u models/nlu/default/current -o models/out.log

You talk to the server through API as: curl -XPOST localhost:5005/conversations/default/respond -d '{"query":"hi"}'

Documentation: http://rasa.com/docs/core/http/

3rd Party Documentations

About

Weather bot with RASA NLU

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%