Initial commit

.gitignore

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+.rasa/
+.rasa/cache/
+.vscode/
+*.dot
+*.pyc
+models/
+*.db
+.rasa/cache/cache.db
+actions/__pycache__/

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
+
+from typing import Any, Text, Dict, List
+
+from rasa_sdk import Action, Tracker, FormValidationAction
+from rasa_sdk.types import DomainDict
+from rasa_sdk.executor import CollectingDispatcher
+from rasa_sdk.events import SlotSet, Restarted
+
+
+class ValidateSimpleOrderForm(FormValidationAction):
+
+    def name(self) -> Text:
+        return "validate_simple_order_form"
+
+    def __init__(self) -> None:
+        self.valid_locations = ["living_shelf", "dining_room","reading_room"]
+        self.valid_objects = ["pringles","windex_bottle","soup","tshirt","spatula"]
+
+    def validate_places(
+        self,
+        value: Text,
+        dispatcher: CollectingDispatcher,
+        tracker: Tracker,
+        domain: DomainDict,
+    ) -> Dict[Text, Any]:
+        if value.lower() not in self.valid_locations:
+            # dispatcher.utter_message("Sorry, I don't recognize that location.")
+
+            dispatcher.utter_message(template="utter_ask_places_again")
+            return {"places": None}
+        return {"places": value}
+
+    def validate_order(
+        self,
+        value: Text,
+        dispatcher: CollectingDispatcher,
+        tracker: Tracker,
+        domain: DomainDict,
+    ) -> Dict[Text, Any]:
+        if value.lower() not in self.valid_objects:
+            # dispatcher.utter_message("Sorry, I don't recognize that object.")
+            dispatcher.utter_message(template="utter_ask_order_again")
+            return {"order": None}
+        return {"order": value}
+
+class ActionCustomFallback(Action):
+    def name(self) -> Text:
+        return "action_fallback_response"
+
+    def run(
+        self,
+        dispatcher: CollectingDispatcher,
+        tracker: Tracker,
+        domain: Dict[Text, Any]) -> List[Dict[Text, Any]]:
+        # Send a message to the user
+        dispatcher.utter_message(template="utter_fallback")
+
+        # Return an empty list
+        return[]
+
+class ActionClearSlot(Action):
+    def name(self) -> Text:
+        return "action_clear_slots"
+
+    def run(
+        self,
+        dispatcher: CollectingDispatcher,
+        tracker: Tracker,
+        domain: Dict[Text, Any]
+    ) -> List[Dict[Text, Any]]:
+        # add all the slots you wish to clear, here:
+        # TODO: can also use return [AllSlotsReset()] if always clearing all slots. 
+        return [SlotSet("order", None), SlotSet("places",None), SlotSet("confirmation", None)]
+

config.yml

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+# The config recipe.
+# https://rasa.com/docs/rasa/model-configuration/
+
+recipe: default.v1
+
+# The assistant project unique identifier
+# This default value must be replaced with a unique assistant name within your deployment
+assistant_id: 20230424-150104-jovial-pan
+
+# 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: 300
+    constrain_similarities: True
+  - name: EntitySynonymMapper
+  - name: ResponseSelector
+    epochs: 100    
+    constrain_similarities: True
+  - name: FallbackClassifier
+    threshold: 0.7
+    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: AugmentedMemoizationPolicy
+  - name: RulePolicy
+    core_fallback_action_name: "action_fallback_response"
+  - name: UnexpecTEDIntentPolicy
+    max_history: 5
+    epochs: 100
+  - name: TEDPolicy
+    max_history: 5
+    epochs: 100
+    constrain_similarities: true

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 Enterprise. The entry represents credentials
+# for the Rasa Enterprise "channel", i.e. Talk to your bot and Share with guest testers.
+rasa:
+  url: "http://localhost:5002/api"