Initial Trained Data
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3
.vscode/settings.json
vendored
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.vscode/settings.json
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{
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"python.pythonPath": "venv/bin/python"
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}
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0
actions/__init__.py
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0
actions/__init__.py
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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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22
config.yml
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config.yml
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language: en
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pipeline:
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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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policies:
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- name: MemoizationPolicy
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- name: RulePolicy
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- name: TEDPolicy
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max_history: 5
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epochs: 100
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33
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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data/nlu.yml
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data/nlu.yml
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nlu:
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- intent: greet
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examples: |
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- Hi
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- Hey!
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- Hello
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- Hallo
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- Good day
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- Good morning
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- intent: signup
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examples: |
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- I want to get an account
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- I want to sign up
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- Can you sign me up for an account?
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- How do I sign up?
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- intent: inform
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examples: |
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- My email is example@example.com
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- random@example.com
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- Please send it to anything@example.com
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- Email is something@example.com
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data/rules.yml
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data/rules.yml
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rules:
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- rule: activate signup form
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steps:
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- intent: signup
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- action: signup_form
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- active_loop: signup_form
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- rule: submit form
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condition:
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- active_loop: signup_form
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steps:
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- action: signup_form
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- active_loop: null
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- action: utter_signedup
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data/stories.yml
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data/stories.yml
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stories:
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- story: greet and signup
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steps:
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- intent: greet
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- action: utter_greet
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- intent: signup
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- action: signup_form
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- active_loop: signup_form
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34
domain.yml
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domain.yml
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version: '2.0'
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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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intents:
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- greet
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- inform
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- signup
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slots:
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email:
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type: unfeaturized
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influence_conversation: false
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responses:
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utter_greet:
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- text: |
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Hello! How can I help you?
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- text: |
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Hi!
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utter_ask_email:
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- text: |
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What is your email address?
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utter_signedup:
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- text: |
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Check your inbox at {email} in order to finish signing up on Liberta Casa!
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- text: You're all set! Check your inbox at {email} to confirm your registration.
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actions:
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- '...'
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- utter_greet
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- utter_signedup
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forms:
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signup_form:
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required_slots:
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email:
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- type: from_text
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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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5
forms.yml
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5
forms.yml
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forms:
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signup_form:
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required_slots:
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email:
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- type: from_text
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BIN
models/20211020-112145.tar.gz
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BIN
models/20211020-112145.tar.gz
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14
responses.yml
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14
responses.yml
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responses:
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utter_greet:
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- text: |
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Hello! How can I help you?
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- text: |
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Hi!
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utter_ask_email:
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- text: |
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What is your email address?
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utter_signedup:
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- text: |
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Check your inbox at {email} in order to finish signing up on Liberta Casa!
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- text: |
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You're all set! Check your inbox at {email} to confirm your registration.
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