Custom fall back action

Rasa Open Source
3

for the config.yml:

Configuration for Rasa NLU.

https://rasa.com/docs/nlu/components/

language: en pipeline:

  • name: WhitespaceTokenizer
  • name: CRFEntityExtractor
  • name: EntitySynonymMapper
  • name: CountVectorsFeaturizer token_pattern: (?u)\b\w+\b
  • name: EmbeddingIntentClassifier
  • name: DucklingHTTPExtractor url: ${DUCKLING_URL} dimensions:
    • number

Configuration for Rasa Core.

https://rasa.com/docs/core/policies

policies:

  • name: MemoizationPolicy
  • name: KerasPolicy epochs: 200 max_history: 10
  • name: MappingPolicy
  • name: “FallbackPolicy” nlu_threshold: 0.4 core_threshold: 0.3 fallback_action_name: “my_action_fallback”

for my_fallback_action here it is:

class ActionDefaultFallback(Action): def name(self): return “my_fallback_action”

def run(self, dispatcher, tracker, domain):
    i = tracker.get_slot('i')
    dispatcher.utter_message("okay")
    if i == 1:
        dispatcher.utter_message("Handoff, Claudio")
        return [ConversationPaused()]
    a = str(i)
    dispatcher.utter_message(a)
    if i == None:
        i = 0
    i += 1
    return [UserUtteranceReverted(),SlotSet("i", i)]