RASA - OR statements
#rasa#chatbot#nlp#ai
Petr Janik

Petr Janik @petr7555

About: I am a software engineer with a deep passion for coding and machine learning. Currently working in React and Python.

Location:
Brno, Czech Republic
Joined:
Dec 2, 2019

RASA - OR statements

Publish Date: May 28 '21
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Another way to write shorter stories, or to handle multiple intents the same way, is to use an or statement.

For example, if you ask the user to confirm something, and you want to treat the affirm and thankyou intents in the same way. The story below will be converted into two stories at the training time:



# stories.yml
# ... previous content ...
  - story: confirm by affirm or thankyou
    steps:
      - intent: confirm
      - action: utter_ask_confirm
      - or:
          - intent: affirm
          - intent: thankyou
      - action: utter_confirmed
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For this example to work, apart from the code we have from the previous chapters, I have created two new intents:



# data/nlu.yml
# ... previous content ...
  - intent: confirm
    examples: |
      - can I confirm
      - I want to confirm
      - I would like to confirm that
  - intent: thankyou
    examples: |
      - thank you
      - thanks
      - thanks a lot
      - thank you so much!
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and added them to domain.yml:



# domain.yml
# ... previous content ...
intents:
  # ... previous intents ...
  - confirm
  - thankyou
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We need the chatbot's responses as well:



# domain.yml
# ... previous content ...
  utter_ask_confirm:
    - text: Do you really want to confirm that?
  utter_confirmed:
    - text: Confirmed.
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Let's see this in action:

Conversation with OR first

Conversation with OR second

You can learn more about OR statements in the documentation.

In the next chapter, we will look at slots in detail.

Repository for this tutorial:

GitHub logo petr7555 / rasa-dev-tutorial

You can checkout the state of the repository at the end of this tutorial by running:



git clone --branch 14-or-statements git@github.com:petr7555/rasa-dev-tutorial.git
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