import streamlit as st
import PyPDF2
from extractive_model import summarize_pdf_with_textrank

# Set page to wide mode
st.set_page_config(layout="wide")

# Function to handle file upload and return its content
def load_pdf(file):
    pdf_reader = PyPDF2.PdfReader(file)
    pdf_text = ""
    for page_num in range(len(pdf_reader.pages)):
        pdf_text += pdf_reader.pages[page_num].extract_text() or ""
    return pdf_text

# Main app
def main():
    st.title("Terms of Service Summarizer")

    # Layout: 3 columns
    col1, col2, col3 = st.columns([1, 3, 2], gap="large")

    # Left column: Radio buttons for summarizer choice
    with col1:
        radio_options = ['Abstractive', 'Extractive']
        radio_selection = st.radio("Choose type of summarizer:", radio_options)

    # Middle column: Text input and File uploader
    with col2:
        user_input = st.text_input("Enter your text here:")
        uploaded_file = st.file_uploader("Upload a PDF", type="pdf")
        if st.button("Summarize"):
            summary = ""
            if uploaded_file is not None:
                # Extract text from PDF
                file_content = load_pdf(uploaded_file)
                st.write("PDF uploaded successfully.")
                if radio_selection == "Extractive":
                    # Perform extractive summarization
                    summary = summarize_pdf_with_textrank(file_content)
                else:
                    None
            else:
                st.write("Please upload a PDF or enter some text to summarize.")

            st.session_state.summary = summary

    # Right column: Displaying text after pressing 'Summarize'
    with col3:
        st.write("Output:")
        if 'summary' in st.session_state:
            st.write(st.session_state.summary)

if __name__ == "__main__":
    main()