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nlu_data Revamped code to reflect latest RASA APIs Oct 1, 2018
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static
templates
.project
.pydevproject
README.md
app.py
engine.py
nlu_config.yml
run_server.bat
run_training.bat

README.md

GST FAQ Bot with Rasa-NLU

Set of scripts to build a chatbot which will answer FAQ about Goods and Services Tax (GST) India. Copyright (C) 2017 Yogesh H Kulkarni

License:

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or any later version.

Scripts:

  • app.py: Chatbot UI built using Flask, using templates/*.html
  • engine.py: Chatbot core logic as well as knowledgebase.
  • run_training: Windows batch file to build trained modeling
  • run_server: Windows batch file to execute Rasa-NLU server.

Other Data

  • nlu_config.yml: Rasa NLU settings for training as well as executing intent extraction
  • nlu_data: Directory containing training files
  • static and templates: Flask UI related files

Dependencies:

  • Needs Python 3.5, numpy, scipy, spacy, sklearn crf suite

ToDos

  • Add more training data
  • Entity extraction not working as desired, find out more.
  • Etc.

References

Disclaimer:

  • Author (yogeshkulkarni@yahoo.com) gives no guarantee of the results of the program. It is just a fun script. Lot of improvements are still to be made. So, don’t depend on it at all.