python3 << 'EOF' import pdfplumber with pdfplumber.open("/tmp/workspace/attachments/a410eaf5-d942-4e5a-88cd-07ee7ddf0461/OBGY.pdf") as pdf: print(f"Total pages: {len(pdf.pages)}") # Extract all text full_text = "" for i, page in enumerate(pdf.pages): text = page.extract_text() if text: full_text += f"\n--- PAGE {i+1} ---\n{text}" print(full_text[:8000]) EOF

python3 << 'EOF' import pdfplumber from PIL import Image import io with pdfplumber.open("/tmp/workspace/attachments/a410eaf5-d942-4e5a-88cd-07ee7ddf0461/OBGY.pdf") as pdf: print(f"Total pages: {len(pdf.pages)}") for i, page in enumerate(pdf.pages[:3]): text = page.extract_text() print(f"Page {i+1} text length: {len(text) if text else 0}") if text: print(text[:500]) print("---") EOF

python3 << 'EOF' import pdfplumber from PIL import Image import base64, os os.makedirs("/tmp/workspace/obgy_pages", exist_ok=True) with pdfplumber.open("/tmp/workspace/attachments/a410eaf5-d942-4e5a-88cd-07ee7ddf0461/OBGY.pdf") as pdf: for i, page in enumerate(pdf.pages): img = page.to_image(resolution=150) img.save(f"/tmp/workspace/obgy_pages/page_{i+1:02d}.png") import os files = sorted(os.listdir("/tmp/workspace/obgy_pages")) print(f"Saved {len(files)} images") print(files[:5]) EOF

python3 << 'EOF' from PIL import Image import os pages_dir = "/tmp/workspace/obgy_pages" files = sorted([f for f in os.listdir(pages_dir) if f.endswith('.png')]) # Combine pages into 5 batches of 7 pages each batch_size = 7 os.makedirs("/tmp/workspace/obgy_batches", exist_ok=True) for batch_num in range(5): batch_files = files[batch_num*batch_size : (batch_num+1)*batch_size] images = [Image.open(os.path.join(pages_dir, f)) for f in batch_files] # Stack vertically total_width = max(img.width for img in images) total_height = sum(img.height for img in images) combined = Image.new('RGB', (total_width, total_height), 'white') y_offset = 0 for img in images: combined.paste(img, (0, y_offset)) y_offset += img.height out_path = f"/tmp/workspace/obgy_batches/batch_{batch_num+1}.png" combined.save(out_path) print(f"Batch {batch_num+1}: pages {batch_num*batch_size+1}-{min((batch_num+1)*batch_size, len(files))}, size: {combined.size}") EOF

python3 << 'EOF' from PIL import Image import os # Resize batches to be under 5MB for i in range(1, 6): path = f"/tmp/workspace/obgy_batches/batch_{i}.png" img = Image.open(path) # Scale down to max height 5000px to keep under 5MB ratio = 4000 / img.height new_w = int(img.width * ratio) new_h = 4000 resized = img.resize((new_w, new_h), Image.LANCZOS) resized.save(path, optimize=True) size = os.path.getsize(path) print(f"Batch {i}: {resized.size}, {size/1024/1024:.2f} MB") EOF

python3 << 'EOF' from PIL import Image import os # Use higher resolution but reasonable height - 3 pages per batch = better quality pages_dir = "/tmp/workspace/obgy_pages" files = sorted([f for f in os.listdir(pages_dir) if f.endswith('.png')]) os.makedirs("/tmp/workspace/obgy_batches2", exist_ok=True) # 5 batches: 7 pages each - but use higher resolution per page # Instead, let's do 7 per batch but with better individual page size # Target: each page ~570px wide, 7 pages stacked = 4900px tall total # That should be good enough to read for batch_num in range(5): batch_files = files[batch_num*7 : (batch_num+1)*7] images = [] for f in batch_files: img = Image.open(os.path.join(pages_dir, f)) # Resize each page to 900px wide maintaining aspect ratio ratio = 900 / img.width new_h = int(img.height * ratio) img_resized = img.resize((900, new_h), Image.LANCZOS) images.append(img_resized) total_height = sum(img.height for img in images) combined = Image.new('RGB', (900, total_height), 'white') y = 0 for img in images: combined.paste(img, (0, y)) y += img.height out_path = f"/tmp/workspace/obgy_batches2/batch_{batch_num+1}.jpg" combined.save(out_path, quality=70, optimize=True) size = os.path.getsize(out_path) print(f"Batch {batch_num+1} (pages {batch_num*7+1}-{min((batch_num+1)*7,35)}): {combined.size}, {size/1024/1024:.2f} MB") EOF

python3 << 'EOF' # Try pytesseract OCR import subprocess result = subprocess.run(['python3', '-c', 'import pytesseract; print("ok")'], capture_output=True, text=True) print("pytesseract:", result.stdout, result.stderr) result2 = subprocess.run(['which', 'tesseract'], capture_output=True, text=True) print("tesseract binary:", result2.stdout, result2.stderr) EOF

pip install --user pytesseract 2>&1 | tail -3; pip install --user easyocr 2>&1 | tail -3

python3 -c "import pytesseract; from PIL import Image; img = Image.open('/tmp/workspace/obgy_pages/page_01.png'); text = pytesseract.image_to_string(img); print(text[:500])" 2>&1

python3 -c " import easyocr reader = easyocr.Reader(['en'], gpu=False) result = reader.readtext('/tmp/workspace/obgy_pages/page_01.png', detail=0, paragraph=True) print('\n'.join(result[:30])) " 2>&1 | tail -40

# Try using markitdown which can handle images/PDFs python3 -c " from markitdown import MarkItDown md = MarkItDown() result = md.convert('/tmp/workspace/attachments/a410eaf5-d942-4e5a-88cd-07ee7ddf0461/OBGY.pdf') print(result.text_content[:3000]) " 2>&1

I need you to OCR/read a 35-page scanned PDF (OB/GY question paper) that is saved at: /tmp/workspace/attachments/a410eaf5-d942-4e5a-88cd-07ee7ddf0461/OBGY.pdf The images have already been pre-processed and saved as individual PNG pages at /tmp/workspace/obgy_pages/page_01.png through page_35.png. Your task: 1. Convert each page PNG to a JPEG and upload/read them using analyse_media tool. You need to serve these as HTTP - use a python HTTP server in the background, then pass http://localhost:PORT/filename to analyse_media. Here's the approach: - Start a simple HTTP server in the background: python3 -m http.server 8765 --directory /tmp/workspace/obgy_pages & - Then call analyse_media with URLs like: http://localhost:8765/page_01.png - Process pages in batches (combine multiple pages into one image to save API calls) - Extract ALL text from the question paper - Focus on identifying all 5-mark questions (questions worth 5 marks) in both Obstetrics and Gynecology sections - Segregate them into: OBSTETRICS 5-mark questions and GYNECOLOGY 5-mark questions Return a complete organized list of all 5-mark questions segregated by subject (Obstetrics vs Gynecology). Include the exact question text.

ls /tmp/workspace/obgy_pages/ | head -40

cd /tmp/workspace/obgy_pages && python3 -m http.server 8765 --directory /tmp/workspace/obgy_pages > /tmp/http_server.log 2>&1 & echo "Server PID: $!" sleep 2 curl -s -o /dev/null -w "%{http_code}" http://localhost:8765/page_01.png

# Check if there's a public URL or ngrok available which ngrok 2>/dev/null || echo "ngrok not found" # Check network interfaces ip addr show 2>/dev/null | grep "inet " | head -5 # Check if there's a way to get external IP curl -s ifconfig.me 2>/dev/null || echo "no external IP"

# Let's try serving on the external IP # Kill existing server and restart on 0.0.0.0 kill $(lsof -t -i:8765) 2>/dev/null || true sleep 1 python3 -m http.server 8765 --bind 0.0.0.0 --directory /tmp/workspace/obgy_pages > /tmp/http_server.log 2>&1 & echo "Server PID: $!" sleep 2 # Test with external IP curl -s -o /dev/null -w "%{http_code}" http://13.235.118.132:8765/page_01.png