Give perfect answer to this question papers
cd /home/daytona/workspace/attachments/fbf4c580-9e1a-40be-8a88-8e6d070ffbc7/ && python3 -c " import pdfplumber with pdfplumber.open('ORAL-PATH-QP.-2011-2025.pdf') as pdf: print(f'Total pages: {len(pdf.pages)}') # Extract first 5 pages to understand structure for i in range(min(5, len(pdf.pages))): print(f'\n=== PAGE {i+1} ===') text = pdf.pages[i].extract_text() print(text[:2000] if text else 'No text') "
cd /home/daytona/workspace/attachments/fbf4c580-9e1a-40be-8a88-8e6d070ffbc7/ && python3 -c " import subprocess # Convert PDF pages to images and OCR them result = subprocess.run(['pdftoppm', '-r', '200', '-png', 'ORAL-PATH-QP.-2011-2025.pdf', '/tmp/oral_path_page'], capture_output=True, text=True) print('pdftoppm result:', result.returncode, result.stderr[:200]) import os files = sorted([f for f in os.listdir('/tmp') if f.startswith('oral_path_page')]) print(f'Generated {len(files)} images') print(files[:5]) "
python3 -c " import subprocess, os all_text = [] for i in range(1, 31): img = f'/tmp/oral_path_page-{i:02d}.png' result = subprocess.run(['tesseract', img, 'stdout', '--oem', '1', '--psm', '6'], capture_output=True, text=True) text = result.stdout.strip() all_text.append(f'\n=== PAGE {i} ===\n{text}') full_text = '\n'.join(all_text) with open('/tmp/oral_path_ocr.txt', 'w') as f: f.write(full_text) print(f'Total chars: {len(full_text)}') print(full_text[:3000]) "