app.py

import streamlit as st
from fastapi import FastAPI
from pydantic import BaseModel
from backend import predict

st.title("Classify Sentiment")

text= st.text_area("Enter your text")

if(text):
    prediction= predict(text)
    st.header(prediction)
    st.json({"sentiment": prediction})


app = FastAPI()


class Input(BaseModel):
    text: str

@app.get("/")
async def root():
    return {"message": "SentimentPro API is running!"}

@app.post("/predict/")
async def predict_sentiment(input: Input):
    prediction = predict(input.text)
    return {"text": input.text, "sentiment": prediction}