import streamlit as st
from transformers import pipeline

@st.cache_resource
def load_model():
    return pipeline("sentiment-analysis", model="siebert/sentiment-roberta-large-english")

sentiment_analysis = load_model()

st.title("Sentiment Analysis")
rev = st.text_input("Enter a review to analyze its sentiment.")
if st.button("Analyze") and rev:
    st.write(sentiment_analysis(rev)[0]['label'])