app.py

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"])