ml-service/app.py

# app.py
from fastapi import FastAPI, APIRouter
import uvicorn
from classifier import Classifier
import nlp
import logging

logging.basicConfig(level = logging.INFO)

# Create the FastAPI instance
app = FastAPI()
classifier = Classifier()

@app.post("/predict")
def predict(data: dict):
  try:
    input_text = data["text"]
    res = nlp.sentiment_analysis(classifier, input_text)
    return res
  except Exception as e:
    logging.error("Something went wrong")