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| # import streamlit as st | |
| # import pandas as pd | |
| # import tempfile | |
| # import os | |
| # from PDFSectionExtractor import PDFSectionExtractor, convert_pdf_to_excel | |
| # def main(): | |
| # st.title("PDF Section and Table Extractor") | |
| # st.write("Upload a PDF file to extract sections and tables into an Excel workbook.") | |
| # # File uploader | |
| # uploaded_file = st.file_uploader("Choose a PDF file", type=['pdf']) | |
| # if uploaded_file is not None: | |
| # # Create a temporary directory to store the files | |
| # with tempfile.TemporaryDirectory() as temp_dir: | |
| # # Save the uploaded PDF | |
| # pdf_path = os.path.join(temp_dir, uploaded_file.name) | |
| # with open(pdf_path, "wb") as f: | |
| # f.write(uploaded_file.getvalue()) | |
| # # Create the Excel output path | |
| # excel_filename = os.path.splitext(uploaded_file.name)[0] + "_extracted.xlsx" | |
| # excel_path = os.path.join(temp_dir, excel_filename) | |
| # try: | |
| # with st.spinner("Processing PDF..."): | |
| # # Create extractor instance | |
| # extractor = PDFSectionExtractor(pdf_path) | |
| # # Get document info | |
| # doc_name, doc_id = extractor.get_document_info() | |
| # st.write(f"Document Name: {doc_name}") | |
| # st.write(f"Document ID: {doc_id}") | |
| # # Extract tables and sections | |
| # tables = extractor.extract_tables() | |
| # sections = extractor.extract_sections() | |
| # # Create Excel file | |
| # convert_pdf_to_excel(pdf_path, excel_path) | |
| # # Show summary | |
| # st.success(f"Successfully processed PDF!") | |
| # st.write(f"Found {len(tables)} tables and {len(sections)} sections.") | |
| # # Preview sections | |
| # if sections: | |
| # st.subheader("Sections Preview") | |
| # df_sections = pd.DataFrame(sections) | |
| # st.dataframe(df_sections) | |
| # # Preview tables | |
| # if tables: | |
| # st.subheader("Tables Preview") | |
| # for i, table in enumerate(tables, 1): | |
| # with st.expander(f"Table {i}"): | |
| # st.dataframe(table) | |
| # # Provide download button for Excel file | |
| # with open(excel_path, "rb") as f: | |
| # excel_data = f.read() | |
| # st.download_button( | |
| # label="Download Excel File", | |
| # data=excel_data, | |
| # file_name=excel_filename, | |
| # mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet" | |
| # ) | |
| # except Exception as e: | |
| # st.error(f"An error occurred: {str(e)}") | |
| # if __name__ == "__main__": | |
| # main() | |
| import streamlit as st | |
| import pandas as pd | |
| import tempfile | |
| import os | |
| from PDFSectionExtractor import PDFSectionExtractor, convert_pdf_to_excel | |
| # Add page config | |
| st.set_page_config( | |
| page_title="PDF Section and Table Extractor", | |
| page_icon=":page_facing_up:", | |
| layout="wide" | |
| ) | |
| # Add custom CSS to improve the interface | |
| st.markdown(""" | |
| <style> | |
| .stButton>button { | |
| width: 100%; | |
| } | |
| .css-1v0mbdj.e115fcil1 { | |
| max-width: 100%; | |
| } | |
| </style> | |
| """, unsafe_allow_html=True) | |
| def main(): | |
| st.title(":page_facing_up: PDF Section and Table Extractor") | |
| st.write("Upload a PDF file to extract sections and tables into an Excel workbook.") | |
| # Add some usage instructions | |
| with st.expander(":information_source: How to use"): | |
| st.write(""" | |
| 1. Upload a PDF file using the file uploader below | |
| 2. Wait for the processing to complete | |
| 3. Preview the extracted sections | |
| 4. Download the results as an Excel file | |
| """) | |
| # File uploader with additional information | |
| uploaded_file = st.file_uploader( | |
| "Choose a PDF file", | |
| type=['pdf'], | |
| help="Upload a PDF file containing sections and tables to extract" | |
| ) | |
| if uploaded_file is not None: | |
| # Create a temporary directory to store the files | |
| with tempfile.TemporaryDirectory() as temp_dir: | |
| # Save the uploaded PDF | |
| pdf_path = os.path.join(temp_dir, uploaded_file.name) | |
| with open(pdf_path, "wb") as f: | |
| f.write(uploaded_file.getvalue()) | |
| # Create the Excel output path | |
| excel_filename = os.path.splitext(uploaded_file.name)[0] + "_extracted.xlsx" | |
| excel_path = os.path.join(temp_dir, excel_filename) | |
| try: | |
| with st.spinner(":arrows_counterclockwise: Processing PDF... This may take a moment."): | |
| # Create extractor instance | |
| extractor = PDFSectionExtractor(pdf_path) | |
| # Get document info | |
| doc_name, doc_id = extractor.get_document_info() | |
| # Display document info in a nice format | |
| col1, col2 = st.columns(2) | |
| with col1: | |
| st.info(f":memo: Document Name: {doc_name}") | |
| with col2: | |
| st.info(f":key: Document ID: {doc_id}") | |
| # Extract tables and sections | |
| tables = extractor.extract_tables() | |
| sections = extractor.extract_sections() | |
| # Create Excel file | |
| convert_pdf_to_excel(pdf_path, excel_path) | |
| # Show summary | |
| st.success(":white_check_mark: Successfully processed PDF!") | |
| st.write(f":bar_chart: Found {len(tables)} tables and :bookmark_tabs: {len(sections)} sections.") | |
| # Display sections preview | |
| if sections: | |
| st.subheader("Sections Preview") | |
| df_sections = pd.DataFrame(sections) | |
| st.dataframe(df_sections, use_container_width=True) | |
| else: | |
| st.warning("No sections found in the document.") | |
| # Provide download button for Excel file | |
| with open(excel_path, "rb") as f: | |
| excel_data = f.read() | |
| st.download_button( | |
| label=":inbox_tray: Download Excel File", | |
| data=excel_data, | |
| file_name=excel_filename, | |
| mime="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", | |
| key="download-excel" | |
| ) | |
| except Exception as e: | |
| st.error(f":x: An error occurred: {str(e)}") | |
| st.write("Please make sure your PDF file is valid and try again.") | |
| if __name__ == "__main__": | |
| main() | |