import streamlit as st import PyPDF2 from extractive_model import summarize_with_textrank #from blanc import BlancHelp # 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_area("Enter your text here:") uploaded_file = st.file_uploader("Upload a PDF", type="pdf") if st.button("Summarize"): if uploaded_file and user_input: st.warning("Please provide either text input or a PDF file, not both.") return elif uploaded_file: # Extract text from PDF file_content = load_pdf(uploaded_file) st.write("PDF uploaded successfully.") elif user_input: file_content = user_input else: st.warning("Please upload a PDF or enter some text to summarize.") return # Perform extractive summarization if radio_selection == "Extractive": summary = summarize_with_textrank(file_content) st.session_state.summary = summary # Perform extractive summarization if radio_selection == "Abstractive": None #summary = summarize_with_textrank(file_content) #st.session_state.summary = summary # Right column: Displaying text after pressing 'Summarize' with col3: st.write("Summary:") if 'summary' in st.session_state: st.write(st.session_state.summary) if __name__ == "__main__": main()