app.py

import streamlit as st
from transformers import pipeline

# Load the sentiment analysis model
@st.cache_resource
def load_model():
    return pipeline("sentiment-analysis")

model = load_model()

# Streamlit interface
st.title("🧠 Sentiment Analyzer")
user_input = st.text_area("Enter a sentence:")

if user_input:
    result = model(user_input)[0]
    st.write(f"**Sentiment:** {result['label']}")
    st.write(f"**Confidence:** {round(result['score'], 4)}")