add rasa

nlp/conversational_rasa/.gitignore

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+.config
+models/*
+events*

nlp/conversational_rasa/actions/actions.py

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+# This files contains your custom actions which can be used to run
+# custom Python code.
+#
+# See this guide on how to implement these action:
+# https://rasa.com/docs/rasa/custom-actions
+
+
+# This is a simple example for a custom action which utters "Hello World!"
+
+from typing import Any, Text, Dict, List
+
+from rasa_sdk import Action, Tracker
+from rasa_sdk.executor import CollectingDispatcher
+
+
+class ActionShowMenu(Action):
+
+    def name(self) -> Text:
+        return "action_show_menu"
+
+    def run(self, dispatcher: CollectingDispatcher,
+            tracker: Tracker,
+            domain: Dict[Text, Any]) -> List[Dict[Text, Any]]:
+
+
+        menu = {'Chicken and rice': 10,
+                'Pho': 11, 
+                'Spicy chicken': 9}
+
+        dispatcher.utter_message(f"The menu today is:\n")
+        for food in menu:
+            dispatcher.utter_message(food)
+
+        return []

nlp/conversational_rasa/config.yml

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+# Configuration for Rasa NLU.
+# https://rasa.com/docs/rasa/nlu/components/
+language: en
+
+pipeline:
+# # No configuration for the NLU pipeline was provided. The following default pipeline was used to train your model.
+# # If you'd like to customize it, uncomment and adjust the pipeline.
+# # See https://rasa.com/docs/rasa/tuning-your-model for more information.
+#   - name: WhitespaceTokenizer
+#   - name: RegexFeaturizer
+#   - name: LexicalSyntacticFeaturizer
+#   - name: CountVectorsFeaturizer
+#   - name: CountVectorsFeaturizer
+#     analyzer: char_wb
+#     min_ngram: 1
+#     max_ngram: 4
+#   - name: DIETClassifier
+#     epochs: 100
+#     constrain_similarities: true
+#   - name: EntitySynonymMapper
+#   - name: ResponseSelector
+#     epochs: 100
+#     constrain_similarities: true
+#   - name: FallbackClassifier
+#     threshold: 0.3
+#     ambiguity_threshold: 0.1
+
+# Configuration for Rasa Core.
+# https://rasa.com/docs/rasa/core/policies/
+policies:
+# # No configuration for policies was provided. The following default policies were used to train your model.
+# # If you'd like to customize them, uncomment and adjust the policies.
+# # See https://rasa.com/docs/rasa/policies for more information.
+  - name: MemoizationPolicy
+  - name: TEDPolicy
+    max_history: 5
+    epochs: 100
+    constrain_similarities: true
+  - name: RulePolicy

nlp/conversational_rasa/credentials.yml

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+# This file contains the credentials for the voice & chat platforms
+# which your bot is using.
+# https://rasa.com/docs/rasa/messaging-and-voice-channels
+
+rest:
+#  # you don't need to provide anything here - this channel doesn't
+#  # require any credentials
+
+
+#facebook:
+#  verify: "<verify>"
+#  secret: "<your secret>"
+#  page-access-token: "<your page access token>"
+
+#slack:
+#  slack_token: "<your slack token>"
+#  slack_channel: "<the slack channel>"
+#  slack_signing_secret: "<your slack signing secret>"
+
+#socketio:
+#  user_message_evt: <event name for user message>
+#  bot_message_evt: <event name for bot messages>
+#  session_persistence: <true/false>
+
+#mattermost:
+#  url: "https://<mattermost instance>/api/v4"
+#  token: "<bot token>"
+#  webhook_url: "<callback URL>"
+
+# This entry is needed if you are using Rasa X. The entry represents credentials
+# for the Rasa X "channel", i.e. Talk to your bot and Share with guest testers.
+rasa:
+  url: "http://localhost:5002/api"

nlp/conversational_rasa/data/nlu.yml

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+version: "2.0"
+nlu:
+- intent: greet
+  examples: |
+    - hey
+    - hello
+    - hi
+    - hello there
+    - good morning
+    - good evening
+    - moin
+    - hey there
+    - let's go
+    - hey dude
+    - goodmorning
+    - goodevening
+    - good afternoon
+    - Hello
+    - Hi
+- intent: goodbye
+  examples: |
+    - cu
+    - good by
+    - cee you later
+    - good night
+    - bye
+    - goodbye
+    - have a nice day
+    - see you around
+    - bye bye
+    - see you later
+- intent: affirm
+  examples: |
+    - yes
+    - y
+    - indeed
+    - of course
+    - that sounds good
+    - correct
+- intent: deny
+  examples: |
+    - no
+    - n
+    - never
+    - I don't think so
+    - don't like that
+    - no way
+    - not really
+- intent: mood_great
+  examples: |
+    - perfect
+    - great
+    - amazing
+    - feeling like a king
+    - wonderful
+    - I am feeling very good
+    - I am great
+    - I am amazing
+    - I am going to save the world
+    - super stoked
+    - extremely good
+    - so so perfect
+    - so good
+    - so perfect
+- intent: mood_unhappy
+  examples: |
+    - my day was horrible
+    - I am sad
+    - I don't feel very well
+    - I am disappointed
+    - super sad
+    - I'm so sad
+    - sad
+    - very sad
+    - unhappy
+    - not good
+    - not very good
+    - extremly sad
+    - so saad
+    - so sad
+- intent: bot_challenge
+  examples: |
+    - are you a bot?
+    - are you a human?
+    - am I talking to a bot?
+    - am I talking to a human?
+- intent: answer_question_about_health
+  examples: |
+    - I'm doing well! How about you?
+- intent: ask_menu_today
+  examples: |
+    - What do you have in your menu today?
+    - What food is available today?
+- intent: ask_bot_ability
+  examples: |
+    - Wow cool! What can you do?

nlp/conversational_rasa/data/rules.yml

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+version: "2.0"
+
+rules:
+
+- rule: Say goodbye anytime the user says goodbye
+  steps:
+  - intent: goodbye
+  - action: utter_goodbye
+
+- rule: Say 'I am a bot' anytime the user challenges
+  steps:
+  - intent: bot_challenge
+  - action: utter_iamabot

nlp/conversational_rasa/data/stories.yml

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+version: "2.0"
+stories:
+- story: happy path
+  steps:
+  - intent: greet
+  - action: utter_greet
+  - intent: mood_great
+  - action: utter_happy
+- story: sad path 1
+  steps:
+  - intent: greet
+  - action: utter_greet
+  - intent: mood_unhappy
+  - action: utter_cheer_up
+  - action: utter_did_that_help
+  - intent: affirm
+  - action: utter_happy
+- story: sad path 2
+  steps:
+  - intent: greet
+  - action: utter_greet
+  - intent: mood_unhappy
+  - action: utter_cheer_up
+  - action: utter_did_that_help
+  - intent: deny
+  - action: utter_goodbye
+- story: interactive_story_1
+  steps:
+  - intent: greet
+  - action: utter_greet
+  - intent: answer_question_about_health
+  - action: utter_doing_well
+- story: get_restaurant_menu
+  steps:
+  - intent: greet
+  - action: utter_greet
+  - action: utter_how_can_i_help
+  - intent: ask_menu_today
+  - action: action_show_menu
+- story: Story from Conversation ID 847ddfd5069d44499173e1a0b6ab671c
+  steps:
+  - intent: greet
+  - action: utter_greet
+  - intent: answer_question_about_health
+  - action: utter_doing_well
+  - intent: bot_challenge
+  - action: utter_iamabot
+  - intent: ask_bot_ability
+  - action: utter_ability

nlp/conversational_rasa/domain.yml

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+version: '2.0'
+config:
+  store_entities_as_slots: true
+session_config:
+  session_expiration_time: 60
+  carry_over_slots_to_new_session: true
+intents:
+- greet:
+    use_entities: true
+- goodbye:
+    use_entities: true
+- affirm:
+    use_entities: true
+- deny:
+    use_entities: true
+- mood_great:
+    use_entities: true
+- mood_unhappy:
+    use_entities: true
+- bot_challenge:
+    use_entities: true
+- answer_question_about_health:
+    use_entities: true
+- ask_menu_today:
+    use_entities: true
+- ask_bot_ability:
+    use_entities: true
+entities: []
+slots: {}
+responses:
+  utter_greet:
+  - text: Hey! How are you?
+  utter_cheer_up:
+  - image: https://i.imgur.com/nGF1K8f.jpg
+    text: 'Here is something to cheer you up:'
+  utter_did_that_help:
+  - text: Did that help you?
+  utter_happy:
+  - text: Great, carry on!
+  utter_goodbye:
+  - text: Bye
+  utter_iamabot:
+  - text: I am a bot, powered by Rasa.
+  utter_doing_well:
+  - text: I am doing well! Thank you.
+  utter_how_can_i_help:
+  - text: How can I help you today?
+  utter_ability:
+  - text: I can listen and talk to you. Please be patient with me if I don't understand you yet.
+  - text: I can listen to your need and find the way to help you
+actions:
+- action_show_menu
+- utter_ability
+forms: {}
+e2e_actions: []

nlp/conversational_rasa/endpoints.yml

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+# This file contains the different endpoints your bot can use.
+
+# Server where the models are pulled from.
+# https://rasa.com/docs/rasa/model-storage#fetching-models-from-a-server
+
+#models:
+#  url: http://my-server.com/models/default_core@latest
+#  wait_time_between_pulls:  10   # [optional](default: 100)
+
+# Server which runs your custom actions.
+# https://rasa.com/docs/rasa/custom-actions
+
+action_endpoint:
+ url: "http://localhost:5055/webhook"
+
+# Tracker store which is used to store the conversations.
+# By default the conversations are stored in memory.
+# https://rasa.com/docs/rasa/tracker-stores
+
+#tracker_store:
+#    type: redis
+#    url: <host of the redis instance, e.g. localhost>
+#    port: <port of your redis instance, usually 6379>
+#    db: <number of your database within redis, e.g. 0>
+#    password: <password used for authentication>
+#    use_ssl: <whether or not the communication is encrypted, default false>
+
+#tracker_store:
+#    type: mongod
+#    url: <url to your mongo instance, e.g. mongodb://localhost:27017>
+#    db: <name of the db within your mongo instance, e.g. rasa>
+#    username: <username used for authentication>
+#    password: <password used for authentication>
+
+# Event broker which all conversation events should be streamed to.
+# https://rasa.com/docs/rasa/event-brokers
+
+#event_broker:
+#  url: localhost
+#  username: username
+#  password: password
+#  queue: queue