import streamlit as st
from transformers import pipeline

st.title('Hugging Face Demo')
text = st.text_input('Enter text to analyze')

@st.cache_resource
def get_model():
    return pipeline("sentiment-analysis")

model = get_model()
if text:
    result = model(text)
    st.write('Sentiment: ', result[0]['label'])
    st.write('Confidence: ', result[0]['score'])