serializers.py

from rest_framework import serializers
from .models import SentimentAnalysisInference
import nltk.sentiment.vader import SentimentIntensityAnalyzer
from .tasks import run_inference

class SentimentAnalysisInferenceSerializer(serializers.ModelSerializer):  
    username = serializers.CharField(source='user.username',read_only=True)
  
    class Meta : 
        model = SentimentAnalysisInference
        fields = ['username','text','result']
        
    def create(self.,validated_data):
        text = validated_data['text']
        user_obj = self.request.user
        sai_inference_obj = SentimentAnalysisInference.objects.create(user=user_obj)
        run_infernece.delay(sai_inference_obj.id)
        return sai_inference_obj