Hi,
I’m new to Rasa stack. When I am training a sample chatbot given by the tutorial, I found this issue which i am unable to resolve.
I have installed Rasa 1.9.6 using pip which was recommended in Rasa official tutorial Rasa formbot.
Both nlu and core models get trained and saved in models directory
When I am running command rasa shell from command line, after Rasa identifies the auto_appt indent, it generates the error
rasa_sdk.endpoint - **No registered action found for name 'auto_form'.**
rasa.core.processor - Encountered an exception while running action 'auto_form'. Bot will continue, but the actions events are lost. Please check the logs of your action server for more information.
domain.yml
actions:
- utter_slots_values
- utter_noworries
- utter_chitchat
- utter_ask_continue
- utter_greet
forms:
- auto_form
config.yml
pipeline:
- name: WhitespaceTokenizer
- name: CRFEntityExtractor
- name: EntitySynonymMapper
- name: CountVectorsFeaturizer token_pattern: (?u)\b\w+\b
- name: EmbeddingIntentClassifier
- name: DucklingHTTPExtractor url: http://localhost:8000 dimensions:
- number language: en
policies:
- name: “KerasPolicy”
- name: “MemoizationPolicy” max_history: 5
- name: FormPolicy
stories.md
happy path
- greet
- utter_greet
- auto_appt
- auto_form
- form{“name”: “auto_form”}
- form{“name”: null}
- utter_slots_values
- thankyou
- utter_noworries
nlu.json
{ “rasa_nlu_data”: { “common_examples”: [ { “text”: “Hi, I’d like to schedule an appointment at Intelligent Auto Repairs for a repair of my 2014 Acura RDX.”, “intent”: “auto_appt”, “entities”: [ { “value”: “Intelligent Auto Repairs”, “entity”: “name_store”, “start”: 43, “end”: 67 }, { “value”: “2014”, “entity”: “year_vehicle”, “start”: 87, “end”: 91 }, { “value”: “Acura RDX”, “entity”: “name_vehicle”, “start”: 92, “end”: 101 }]}]}}