app.py

import streamlit as st
from transformers import pipeline

# Load sentiment analysis model
analyzer = pipeline('sentiment-analysis')

# Streamlit UI
text = st.text_area('Enter some text for sentiment analysis:')

if text:
    result = analyzer(text)[0]
    st.write(f"**Label:** {result['label']}  \n**Confidence:** {result['score']:.2f}")