import streamlit as st
from transformers import pipeline

# Set page layout and style
st.set_page_config(
    page_title="Sentiment Analysis",
    layout="wide",
    initial_sidebar_state="expanded",
)
st.markdown(
    """
    <style>
    .stTextInput > div > div > input {
        background-color: #f5f5f5;
        border-radius: 5px;
        padding: 10px;
        font-size: 16px;
    }
    .stButton > button:first-child {
        background-color: #3366ff;
        color: white;
        font-size: 16px;
        padding: 10px 20px;
        border-radius: 5px;
        border: none;
    }
    </style>
    """,
    unsafe_allow_html=True,
)

# Set up sentiment analysis pipeline
pipe = pipeline("sentiment-analysis")

# Streamlit app
st.title("Sentiment Analysis")
text = st.text_area("Enter text")

if st.button("Analyze"):
    if text:
        out = pipe(text)
        st.subheader("Sentiment Analysis Result:")
        for result in out:
            sentiment = result["label"]
            score = result["score"]
            st.write(f"- Sentiment: {sentiment}, Score: {score:.2f}")
    else:
        st.warning("Please enter some text.")