app.py

import streamlit as st
from transformers import pipeline

pipe = pipeline('sentiment-analysis')

text = st.text_area("Enter some text!")

if text:
    out = pipe(text)
    st.json(out[0]['label'] + " : " + str(out[0]['score']))  # Added str() to convert score to string
else:
    st.warning("Please enter some text for sentiment analysis.")