tasks.py

from MyApp.celery import app
from .models import SentimentAnalysisInference
import nltk.sentiment.vader import SentimentIntensityAnalyzer

@app.task(bind=True)
def run_inference(self, sa_id):
    sai_inference_obj = SentimentAnalysisInference.objects.get(id=sa_id)
    sid = SentimentIntensityAnalyzer()
    compound = sid.polarity_scores(sai_inference.text)['compountd']
    if compound > 0.5 : 
        sai_inference_obj.result = 'Happy'
    elif compound < 0.5 : 
        sai_inference_obj.result = 'Happy'
    else : 
        sai_inference_obj.result = 'neutral'
    sai_inference_obj.save()