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| """ | |
| Smart PDF Highlighter | |
| This script provides a Streamlit web application for automatically identifying and | |
| highlighting important content within PDF files. It utilizes AI techniques such as | |
| deep learning, clustering, and advanced algorithms such as PageRank to analyze text | |
| and intelligently select key sentences for highlighting. | |
| Author: Farzad Salajegheh | |
| Date: 2024 | |
| """ | |
| import logging | |
| import time | |
| import streamlit as st | |
| from src import generate_highlighted_pdf | |
| logging.basicConfig(level=logging.INFO) | |
| logger = logging.getLogger(__name__) | |
| def main(): | |
| """Main function to run the PDF Highlighter tool.""" | |
| st.set_page_config(page_title="Smart PDF Highlighter", page_icon="./photos/icon.png") | |
| st.title("Smart PDF Highlighter") | |
| show_description() | |
| uploaded_file = st.file_uploader("Upload a PDF file", type=["pdf"]) | |
| if uploaded_file is not None: | |
| st.write("PDF file successfully uploaded.") | |
| process_pdf(uploaded_file) | |
| def show_description(): | |
| """Display description of functionality and maximum limits.""" | |
| st.write("""Welcome to Smart PDF Highlighter! This tool automatically identifies | |
| and highlights important content within your PDF files. It utilizes many | |
| AI techniques such as deep learning and other advanced algorithms to | |
| analyze the text and intelligently select key sentences for highlighting.""") | |
| st.write("Maximum Limits: 40 pages, 2000 sentences.") | |
| def process_pdf(uploaded_file): | |
| """Process the uploaded PDF file and generate highlighted PDF.""" | |
| st.write("Generating highlighted PDF...") | |
| start_time = time.time() | |
| with st.spinner("Processing..."): | |
| result = generate_highlighted_pdf(uploaded_file) | |
| if isinstance(result, str): | |
| st.error(result) | |
| logger.error("Error generating highlighted PDF: %s", result) | |
| return | |
| else: | |
| file = result | |
| end_time = time.time() | |
| execution_time = end_time - start_time | |
| st.success( | |
| f"Highlighted PDF generated successfully in {execution_time:.2f} seconds." | |
| ) | |
| st.write("Download the highlighted PDF:") | |
| st.download_button( | |
| label="Download", | |
| data=file, | |
| file_name="highlighted_pdf.pdf", | |
| ) | |
| if __name__ == "__main__": | |
| main() | |