python3 << 'EOF' import pdfplumber pdf_path = "/tmp/workspace/attachments/3ec3eafe-53d6-4700-a05d-ca61759cae98/Remedial 2nd MBBS.pdf" with pdfplumber.open(pdf_path) as pdf: print(f"Total pages: {len(pdf.pages)}") for i, page in enumerate(pdf.pages): text = page.extract_text() print(f"\n===== PAGE {i+1} =====") print(text) EOF

python3 << 'EOF' from pypdf import PdfReader import os pdf_path = "/tmp/workspace/attachments/3ec3eafe-53d6-4700-a05d-ca61759cae98/Remedial 2nd MBBS.pdf" reader = PdfReader(pdf_path) print(f"Pages: {len(reader.pages)}") print(f"Metadata: {reader.metadata}") # Check if pages have images for i, page in enumerate(reader.pages): images = page.images print(f"Page {i+1}: {len(images)} images, resources: {list(page.keys()) if hasattr(page, 'keys') else 'N/A'}") if images: for j, img in enumerate(images): print(f" Image {j}: name={img.name}, size={len(img.data)} bytes") if i >= 3: print("... (showing first 4 pages)") break EOF

python3 << 'EOF' from pypdf import PdfReader import os pdf_path = "/tmp/workspace/attachments/3ec3eafe-53d6-4700-a05d-ca61759cae98/Remedial 2nd MBBS.pdf" out_dir = "/tmp/workspace/remedial_pages" os.makedirs(out_dir, exist_ok=True) reader = PdfReader(pdf_path) for i, page in enumerate(reader.pages): images = page.images if images: img = images[0] out_path = f"{out_dir}/page_{i+1:02d}.jpg" with open(out_path, "wb") as f: f.write(img.data) print(f"Saved page {i+1} -> {out_path} ({len(img.data)} bytes)") print("Done!") EOF

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

You are given a set of scanned page images from a medical exam paper (Remedial 2nd MBBS exam). The images are stored at: /tmp/workspace/remedial_pages/page_01.jpg through page_14.jpg A local HTTP server is running at port 8765 serving these files. However, you need to use the analyse_media tool with the URLs. Your job: 1. First, check if a local HTTP server is accessible by trying fetch_image on http://localhost:8765/page_01.jpg 2. If that doesn't work, try using the analyse_media tool directly on the file paths or try base64 encoding approach. 3. Actually, your primary approach: use the `execute` tool to run Python with pytesseract or any available OCR to extract text from the images. Try: `python3 -c "import pytesseract; print('available')"` first. 4. If pytesseract works, extract all text from all 14 pages and save to /tmp/workspace/remedial_ocr.txt 5. If pytesseract doesn't work, try using PIL/Pillow to display image info, and try easyocr: `python3 -c "import easyocr; print('available')"` 6. As a final fallback, upload images to a public URL and use analyse_media on them. The goal is to extract ALL TEXT from all 14 pages of the scanned exam paper. This is a Remedial 2nd MBBS exam covering 3 medical subjects (likely Pathology, Pharmacology, and Microbiology or similar 2nd MBBS subjects). Return ALL extracted text from all 14 pages, organized by page number, in your response. Include every word you can extract - exam questions, subject headings, instructions, marks, etc.

python3 -c "import pytesseract; print('pytesseract available')" 2>&1; python3 -c "import easyocr; print('easyocr available')" 2>&1; python3 -c "from PIL import Image; print('PIL available')" 2>&1

~/remedial_pages

which tesseract 2>&1; tesseract --version 2>&1

pip install pytesseract 2>&1 | tail -5; apt-get install -y tesseract-ocr 2>&1 | tail -10

which apt 2>&1; which yum 2>&1; which dnf 2>&1; which apk 2>&1; ls /usr/bin/tesseract 2>&1

sudo yum install -y tesseract 2>&1 | tail -15

python3 -c "import pytesseract; print('pytesseract available')" 2>&1; python3 -c "import easyocr; print('easyocr available')" 2>&1; ls /tmp/workspace/remedial_pages/ 2>/dev/null || echo "pages not extracted yet"

python3 << 'EOF' import base64, os # Check sizes and try base64 encoding for smaller pages first pages = sorted([f for f in os.listdir("/tmp/workspace/remedial_pages") if f.endswith('.jpg')]) for p in pages: path = f"/tmp/workspace/remedial_pages/{p}" size = os.path.getsize(path) print(f"{p}: {size/1024:.1f} KB") EOF

pip install --user pytesseract pillow 2>&1 | tail -3; which tesseract 2>&1; tesseract --version 2>&1 | head -3

# Try uploading to file.io (free, temporary file host) for the key pages for page in 01 02 03 04 05; do result=$(curl -s -X POST https://file.io --max-time 30 -F "file=@/tmp/workspace/remedial_pages/page_${page}.jpg" -F "expires=1h") echo "page_${page}: $result" done