cd "/tmp/workspace/attachments/020ea03e-f0c0-4204-8f32-972c0d753d98/" && python3 -c " import pdfplumber with pdfplumber.open('Heart Lecture.pdf') as pdf: print(f'Total pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): text = page.extract_text() if text: print(f'--- PAGE {i+1} ---') print(text[:3000]) print() "

python3 -c " import pdfplumber from pypdf import PdfReader # Try pypdf for text extraction reader = PdfReader('/tmp/workspace/attachments/020ea03e-f0c0-4204-8f32-972c0d753d98/Heart Lecture.pdf') print(f'Pages: {len(reader.pages)}') for i in range(min(10, len(reader.pages))): text = reader.pages[i].extract_text() if text and text.strip(): print(f'=== PAGE {i+1} ===') print(text[:2000]) "

python3 -c " from pypdf import PdfReader import subprocess, os # Check if pdf2image or pillow is available try: from pdf2image import convert_from_path print('pdf2image available') except: print('pdf2image NOT available') try: import fitz # pymupdf print('PyMuPDF (fitz) available') except: print('PyMuPDF NOT available') try: from PIL import Image print('PIL available') except: print('PIL NOT available') "

mkdir -p /tmp/workspace/heart_pages && python3 -c " from pdf2image import convert_from_path import os pdf_path = '/tmp/workspace/attachments/020ea03e-f0c0-4204-8f32-972c0d753d98/Heart Lecture.pdf' output_dir = '/tmp/workspace/heart_pages' # Convert all pages to images pages = convert_from_path(pdf_path, dpi=150) print(f'Total pages converted: {len(pages)}') for i, page in enumerate(pages): out_path = f'{output_dir}/page_{i+1:03d}.jpg' page.save(out_path, 'JPEG', quality=85) print('Done converting pages') ls_out = os.listdir(output_dir) print(f'Files saved: {len(ls_out)}') " 2>&1 | tail -20

I have a Heart Lecture PDF that has been converted to 105 individual JPEG images stored at /tmp/workspace/heart_pages/page_001.jpg through page_105.jpg. Your task: Read ALL 105 page images and extract every MCQ (multiple choice question) with its answer options and the correct answer. Use the fetch_image tool to view each page. The pages are at: /tmp/workspace/heart_pages/page_001.jpg /tmp/workspace/heart_pages/page_002.jpg ... up to page_105.jpg Instructions: 1. Use fetch_image for each page to view it 2. Extract ALL questions visible on each page - the question text, all answer options (A, B, C, D etc.) 3. Note the correct answer for each question (it may be highlighted, marked with a tick/checkmark, shown in different color, underlined, or listed as an answer key at the bottom of a page) 4. Some pages may be lecture slides with no questions - skip those 5. Compile ALL questions and correct answers in a clean numbered list format Return format: Q1. [Full question text] A. [option] B. [option] C. [option] D. [option] Correct Answer: [Letter] - [option text] Q2. ... Process ALL pages and return the complete list of all questions with correct answers. Do not skip any pages that have questions. Be thorough - check every page.

~/heart_pages

cd /tmp/workspace/heart_pages && python3 -m http.server 8765 &> /tmp/http_server.log & echo "Server PID: $!" && sleep 2 && curl -s -o /dev/null -w "%{http_code}" http://localhost:8765/page_001.jpg

python3 -c "from PIL import Image; img = Image.open('/tmp/workspace/heart_pages/page_001.jpg'); print(img.size, img.mode)"

pip list 2>/dev/null | grep -i -E "pytesseract|tesseract|easyocr|paddleocr|openai|anthropic|google|vision|ocr"

which tesseract 2>/dev/null && tesseract --version 2>/dev/null || echo "tesseract not found"

pip list 2>/dev/null | grep -i -E "pytesseract|easyocr|paddle"

pip install pytesseract 2>/dev/null; apt-get install -y tesseract-ocr 2>/dev/null | tail -3; which tesseract

apt-get install -y tesseract-ocr 2>&1 | tail -5

yum install -y tesseract 2>&1 | tail -5 || dnf install -y tesseract 2>&1 | tail -5

sudo yum install -y tesseract 2>&1 | tail -10