PYTHON

rasa emotion bot

from typing import Any, Text, Dict, List

from rasa_sdk import Action, Tracker
from rasa_sdk.executor import CollectingDispatcher
import requests
from nrclex import NRCLex


class ActionEmotion(Action):

    def name(self) -> Text:
        return "action_emotion"

    def run(self, dispatcher: CollectingDispatcher,
            tracker: Tracker,
            domain: Dict[Text, Any]) -> List[Dict[Text, Any]]:

        text = str(tracker.latest_message["text"])

        emotion = NRCLex(text)
        
        dispatcher.utter_message(text="The Affect dictionary of the emotions detected are {}".format(emotion.affect_dict))
        dispatcher.utter_message(text="The raw emotion scores detected are {}".format(emotion.raw_emotion_scores))
        dispatcher.utter_message(text="The top emotions detected are {}".format(emotion.top_emotions))
        dispatcher.utter_message(text="The affect frequencies detected are {}".format(emotion.affect_frequencies))

        return []