Rasa Bot Emotion
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 []
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