This repository converts the dialogflow export into RASA format

Steps to prepare the files:

• Keep the dialogflow export in the dialogflow folder.

• python domain_builder.py

  This creates the domain file in data folder.

• python story_builder.py

  This creates the stories file in the data folder.

• python action_builder.py

  This creates the custom action classes in the Action.py script.

• The rasa_core files are ready.

Steps for training:

• python driver.py train-nlu

• python driver.py train-dialogue-init

• These prepares the NLU and core models.

Steps to run the agent:

• python driver.py run