app.py

import streamlit as st
from transformers import pipeline

model_identifier = "dnzblgn/BART_Sentiment_Classification"
pipe = pipeline("sentiment-analysis", model=model_identifier)
text = st.text_area("Enter text: ")

if text:
    out = pipe(text)
    st.json(out)