import streamlit as st
from transformers import pipeline

st.title("SentimentSense")
st.write("Analyze the sentiment of customer feedback instantly.")

feedback = st.text_area("Enter customer feedback here:")

if st.button("Analyze Sentiment"):
    sentiment_pipeline = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
    result = sentiment_pipeline(feedback)
    label = result[0]['label']
    score = result[0]['score']
    st.write(f"Sentiment: {label} (Confidence: {score:.2f})")