app.py

import streamlit as st
from transformers import pipeline
# Set page layout and style
st.set_page_config(
    page_title="summarizer",
    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
summarizer = pipeline("summarization")

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

if st.button("Analyze"):
    if text:
        out = summarizer(text)
        st.subheader("Summarization Result:")
        summary = summarizer(text, max_length=1500, min_length=80, do_sample=False)[0]["summary_text"]
        st.write(summary)
    else:
        st.warning("Please enter some text.")