import streamlit as st from docx import Document import PyPDF2 import pdfplumber import pytesseract import difflib import base64 def read_pdf(file): try: pdf_reader = PyPDF2.PdfFileReader(file) total_pages = pdf_reader.numPages text = [] for page_num in range(total_pages): page = pdf_reader.getPage(page_num) text.append(page.extract_text()) return "\n".join(text) except: st.warning('Failed to directly read PDF, trying OCR...') try: with pdfplumber.open(file) as pdf: text = "\n".join([page.extract_text() for page in pdf.pages]) return text except Exception as e: st.error(f"Error in OCR: {str(e)}") return None def read_docx(file): doc = Document(file) return "\n".join([p.text for p in doc.paragraphs]) def compare_texts(text1, text2): d = difflib.Differ() diff = list(d.compare(text1.splitlines(), text2.splitlines())) result = [] page_no = 1 for line in diff: if 'Page' in line: # if a new page starts page_no += 1 elif line.startswith('+ '): # text present in text2 but not in text1 result.append(f'Additional text detected on page {page_no}') elif line.startswith('- '): # text present in text1 but not in text2 result.append(f'Less text detected on page {page_no}') return "\n".join(set(result)) # using set to remove duplicates st.title('PDF and DOCX Comparison Tool') pdf_file = st.file_uploader('Upload a PDF file', type=['pdf']) docx_file = st.file_uploader('Upload a DOCX file', type=['docx']) if pdf_file and docx_file: pdf_text = read_pdf(pdf_file) docx_text = read_docx(docx_file) b64_pdf = base64.b64encode(pdf_file.read()).decode() # some strings <-> bytes conversions necessary here href = f'Download PDF File (right-click and save as <some_name>.pdf)' st.markdown(href, unsafe_allow_html=True) st.markdown(f'', unsafe_allow_html=True) st.markdown("### DOCX Content:") st.text(docx_text) if pdf_text and docx_text: comparison_result = compare_texts(pdf_text, docx_text) st.text(comparison_result) else: st.error('Failed to read text from one or both files.')