app.py

import streamlit as st
from transformers import pipeline

sentiment_pipeline = pipeline("text-classification", model="kwang123/bert-sentiment-analysis")

st.title("Sentiment Analysis with HuggingFace Spaces")

user_input = st.text_input("")
if user_input:
    result = sentiment_pipeline(user_input)
    sentiment = result[0]["label"]
    confidence = result[0]["score"]

    st.write(f"Sentiment: {sentiment}")
    st.write(f"Confidence: {confidence:.2f}")