import streamlit as st
from transformers import pipeline

# Set page config
st.set_page_config(page_title="Sentiment Analyzer", layout="centered")

# Header
st.markdown("<h1 style='text-align: center; color: #4CAF50;'>🧠 Sentiment Analyzer App</h1>", unsafe_allow_html=True)
st.markdown("<p style='text-align: center;'>Using Hugging Face Transformers with Streamlit</p>", unsafe_allow_html=True)

# Input area
st.write("### Enter your text below:")
text = st.text_area("")

# Button to run analysis
if st.button("🔍 Analyze Sentiment"):
    if text.strip() == "":
        st.warning("Please enter some text!")
    else:
        # Load model
        classifier = pipeline("sentiment-analysis")
        result = classifier(text)[0]
        label = result["label"]
        score = result["score"]

        # Output result
        st.success(f"**Sentiment:** {label}")
        st.info(f"**Confidence Score:** {score:.2f}")

        # Display bar chart
        st.write("### Sentiment Analysis Results")
        st.bar_chart({"Sentiment": [label], "Score": [score]})