app.py

import streamlit as st
from transformers import pipeline

# Page setup
st.set_page_config(page_title="😊 Sentiment Analyzer", layout="centered")
st.title("😊 Sentiment Analyzer")
st.markdown("Enter text below and see if it's Positive, Negative, or Neutral.")

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

analyzer = load_model()

# User input
text = st.text_area("Enter your text here:")

if st.button("Analyze"):
    if text.strip():
        with st.spinner("Analyzing..."):
            result = analyzer(text)[0]
        st.subheader("📌 Result:")
        st.write(f"**Label:** {result['label']} | **Confidence:** {result['score']:.2f}")
    else:
        st.warning("⚠️ Please enter some text first!")