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RASA Init
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0
actions/__init__.py
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0
actions/__init__.py
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27
actions/actions.py
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actions/actions.py
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# This files contains your custom actions which can be used to run
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# custom Python code.
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#
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# See this guide on how to implement these action:
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# https://rasa.com/docs/rasa/custom-actions
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# This is a simple example for a custom action which utters "Hello World!"
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# from typing import Any, Text, Dict, List
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#
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# from rasa_sdk import Action, Tracker
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# from rasa_sdk.executor import CollectingDispatcher
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#
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#
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# class ActionHelloWorld(Action):
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#
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# def name(self) -> Text:
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# return "action_hello_world"
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#
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# def run(self, dispatcher: CollectingDispatcher,
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# tracker: Tracker,
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# domain: Dict[Text, Any]) -> List[Dict[Text, Any]]:
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#
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# dispatcher.utter_message(text="Hello World!")
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#
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# return []
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config.yml
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config.yml
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# Configuration for Rasa NLU.
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# https://rasa.com/docs/rasa/nlu/components/
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language: en
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pipeline:
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# # No configuration for the NLU pipeline was provided. The following default pipeline was used to train your model.
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# # If you'd like to customize it, uncomment and adjust the pipeline.
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# # See https://rasa.com/docs/rasa/tuning-your-model for more information.
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# - name: WhitespaceTokenizer
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# - name: RegexFeaturizer
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# - name: LexicalSyntacticFeaturizer
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# - name: CountVectorsFeaturizer
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# - name: CountVectorsFeaturizer
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# analyzer: char_wb
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# min_ngram: 1
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# max_ngram: 4
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# - name: DIETClassifier
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# epochs: 100
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# - name: EntitySynonymMapper
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# - name: ResponseSelector
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# epochs: 100
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# - name: FallbackClassifier
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# threshold: 0.3
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# ambiguity_threshold: 0.1
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# Configuration for Rasa Core.
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# https://rasa.com/docs/rasa/core/policies/
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policies:
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# # No configuration for policies was provided. The following default policies were used to train your model.
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# # If you'd like to customize them, uncomment and adjust the policies.
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# # See https://rasa.com/docs/rasa/policies for more information.
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# - name: MemoizationPolicy
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# - name: TEDPolicy
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# max_history: 5
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# epochs: 100
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# - name: RulePolicy
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credentials.yml
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credentials.yml
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# This file contains the credentials for the voice & chat platforms
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# which your bot is using.
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# https://rasa.com/docs/rasa/messaging-and-voice-channels
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rest:
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# # you don't need to provide anything here - this channel doesn't
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# # require any credentials
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#facebook:
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# verify: "<verify>"
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# secret: "<your secret>"
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# page-access-token: "<your page access token>"
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#slack:
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# slack_token: "<your slack token>"
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# slack_channel: "<the slack channel>"
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# slack_signing_secret: "<your slack signing secret>"
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#socketio:
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# user_message_evt: <event name for user message>
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# bot_message_evt: <event name for bot messages>
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# session_persistence: <true/false>
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#mattermost:
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# url: "https://<mattermost instance>/api/v4"
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# token: "<bot token>"
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# webhook_url: "<callback URL>"
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# This entry is needed if you are using Rasa X. The entry represents credentials
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# for the Rasa X "channel", i.e. Talk to your bot and Share with guest testers.
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rasa:
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url: "http://localhost:5002/api"
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92
data/nlu.yml
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data/nlu.yml
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version: "2.0"
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nlu:
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- intent: greet
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examples: |
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- hey
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- hello
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- hi
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- hello there
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- good morning
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- good evening
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- moin
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- hey there
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- let's go
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- hey dude
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- goodmorning
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- goodevening
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- good afternoon
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- intent: goodbye
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examples: |
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- good afternoon
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- cu
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- good by
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- cee you later
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- good night
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- bye
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- goodbye
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- have a nice day
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- see you around
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- bye bye
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- see you later
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- intent: affirm
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examples: |
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- yes
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- y
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- indeed
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- of course
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- that sounds good
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- correct
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- intent: deny
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examples: |
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- no
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- n
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- never
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- I don't think so
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- don't like that
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- no way
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- not really
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- intent: mood_great
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examples: |
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- perfect
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- great
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- amazing
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- feeling like a king
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- wonderful
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- I am feeling very good
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- I am great
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- I am amazing
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- I am going to save the world
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- super stoked
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- extremely good
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- so so perfect
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- so good
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- so perfect
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- intent: mood_unhappy
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examples: |
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- my day was horrible
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- I am sad
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- I don't feel very well
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- I am disappointed
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- super sad
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- I'm so sad
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- sad
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- very sad
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- unhappy
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- not good
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- not very good
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- extremly sad
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- so saad
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- so sad
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- intent: bot_challenge
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examples: |
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- are you a bot?
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- are you a human?
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- am I talking to a bot?
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- am I talking to a human?
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data/rules.yml
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data/rules.yml
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version: "2.0"
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rules:
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- rule: Say goodbye anytime the user says goodbye
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steps:
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- intent: goodbye
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- action: utter_goodbye
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- rule: Say 'I am a bot' anytime the user challenges
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steps:
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- intent: bot_challenge
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- action: utter_iamabot
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data/stories.yml
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data/stories.yml
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version: "2.0"
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stories:
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- story: happy path
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steps:
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- intent: greet
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- action: utter_greet
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- intent: mood_great
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- action: utter_happy
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- story: sad path 1
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steps:
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- intent: greet
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- action: utter_greet
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- intent: mood_unhappy
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- action: utter_cheer_up
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- action: utter_did_that_help
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- intent: affirm
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- action: utter_happy
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- story: sad path 2
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steps:
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- intent: greet
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- action: utter_greet
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- intent: mood_unhappy
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- action: utter_cheer_up
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- action: utter_did_that_help
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- intent: deny
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- action: utter_goodbye
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34
domain.yml
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domain.yml
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version: "2.0"
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intents:
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- greet
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- goodbye
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- affirm
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- deny
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- mood_great
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- mood_unhappy
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- bot_challenge
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responses:
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utter_greet:
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- text: "Hey! How are you?"
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utter_cheer_up:
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- text: "Here is something to cheer you up:"
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image: "https://i.imgur.com/nGF1K8f.jpg"
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utter_did_that_help:
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- text: "Did that help you?"
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utter_happy:
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- text: "Great, carry on!"
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utter_goodbye:
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- text: "Bye"
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utter_iamabot:
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- text: "I am a bot, powered by Rasa."
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session_config:
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session_expiration_time: 60
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carry_over_slots_to_new_session: true
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42
endpoints.yml
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endpoints.yml
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# This file contains the different endpoints your bot can use.
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# Server where the models are pulled from.
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# https://rasa.com/docs/rasa/model-storage#fetching-models-from-a-server
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#models:
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# url: http://my-server.com/models/default_core@latest
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# wait_time_between_pulls: 10 # [optional](default: 100)
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# Server which runs your custom actions.
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# https://rasa.com/docs/rasa/custom-actions
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#action_endpoint:
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# url: "http://localhost:5055/webhook"
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# Tracker store which is used to store the conversations.
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# By default the conversations are stored in memory.
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# https://rasa.com/docs/rasa/tracker-stores
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#tracker_store:
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# type: redis
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# url: <host of the redis instance, e.g. localhost>
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# port: <port of your redis instance, usually 6379>
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# db: <number of your database within redis, e.g. 0>
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# password: <password used for authentication>
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# use_ssl: <whether or not the communication is encrypted, default false>
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#tracker_store:
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# type: mongod
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# url: <url to your mongo instance, e.g. mongodb://localhost:27017>
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# db: <name of the db within your mongo instance, e.g. rasa>
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# username: <username used for authentication>
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# password: <password used for authentication>
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# Event broker which all conversation events should be streamed to.
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# https://rasa.com/docs/rasa/event-brokers
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#event_broker:
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# url: localhost
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# username: username
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# password: password
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# queue: queue
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91
tests/test_stories.yml
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tests/test_stories.yml
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#### This file contains tests to evaluate that your bot behaves as expected.
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#### If you want to learn more, please see the docs: https://rasa.com/docs/rasa/testing-your-assistant
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stories:
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- story: happy path 1
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steps:
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- user: |
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hello there!
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intent: greet
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- action: utter_greet
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- user: |
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amazing
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intent: mood_great
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- action: utter_happy
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- story: happy path 2
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steps:
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- user: |
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hello there!
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intent: greet
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- action: utter_greet
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- user: |
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amazing
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intent: mood_great
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- action: utter_happy
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- user: |
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bye-bye!
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intent: goodbye
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- action: utter_goodbye
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- story: sad path 1
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steps:
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- user: |
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hello
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intent: greet
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- action: utter_greet
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- user: |
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not good
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intent: mood_unhappy
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- action: utter_cheer_up
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- action: utter_did_that_help
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- user: |
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yes
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intent: affirm
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- action: utter_happy
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- story: sad path 2
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steps:
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- user: |
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hello
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intent: greet
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- action: utter_greet
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- user: |
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not good
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intent: mood_unhappy
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- action: utter_cheer_up
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- action: utter_did_that_help
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- user: |
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not really
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intent: deny
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- action: utter_goodbye
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- story: sad path 3
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steps:
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- user: |
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hi
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intent: greet
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- action: utter_greet
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- user: |
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very terrible
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intent: mood_unhappy
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- action: utter_cheer_up
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- action: utter_did_that_help
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- user: |
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no
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intent: deny
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- action: utter_goodbye
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- story: say goodbye
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steps:
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- user: |
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bye-bye!
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intent: goodbye
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- action: utter_goodbye
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- story: bot challenge
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steps:
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- user: |
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are you a bot?
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intent: bot_challenge
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- action: utter_iamabot
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