fast_api_post_example.py

from fastapi import FastAPI
from pydantic import BaseModel

# Initialize the FastAPI App
app = FastAPI()

# Create a Data Model so FastAPI can read the data from the request.
class Review(BaseModel):
    text: str


@app.post("/review/predict")
async def movie_sentiment_prediction(review: Review):
    """Accept post requests and predicts positive or negative review"""
    response = dict()
    if "love" in review.text.lower():
        response["sentiment"] = "positive"
    else:
        response["sentiment"] = "negative"
    
    return response