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CustomIntentDetector.py
CustomIntentDetector.py
 
 
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README.md

RASA project

Example Rasa project that uses custom intent detector

Setup

  1. Install Rasa using instructions https://rasa.com/docs/rasa/installation/environment-set-up/

  2. Start the Intent detection Web Service's container.

  3. Open config.yml file. Rasa project pipline contains custom intent classifier CustomIntentDetector.FederatedIntentDetector. Specify Web Service's URL in intdeturl. Specify model's name in modelname variable.

  4. Train intent detection model through Rasa by executing command 'rasa train nlu'.

  5. In case of success execute command 'rasa shell' and converse with the bot. Answers will contain the name of the recognized intent. Answers are specified in the file domain.yml.

Custom intent detector is implemented in file CustomIntentDetector.py.