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import gradio as gr |
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import os |
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import re |
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import time |
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import base64 |
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from openai import OpenAI |
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from together import Together |
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from PIL import Image |
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import io |
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import markdown |
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from datetime import datetime |
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import tempfile |
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from playwright.sync_api import sync_playwright |
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from pathlib import Path |
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def markdown_to_html(markdown_text, problem_text="", include_problem=True): |
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"""Convert markdown to styled HTML""" |
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html_content = markdown.markdown(markdown_text, extensions=['tables', 'fenced_code']) |
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timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S") |
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if include_problem and problem_text.strip(): |
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problem_section = f'''<div class="problem-section"> |
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<h2>📝 Problem Statement</h2> |
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<p><strong>{problem_text}</strong></p> |
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</div>''' |
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else: |
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problem_section = '' |
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styled_html = f"""<!DOCTYPE html> |
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<html lang="en"> |
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<head> |
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<meta charset="UTF-8"> |
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<meta name="viewport" content="width=device-width, initial-scale=1.0"> |
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<title>Math Solution - Advanced Math Tutor</title> |
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<style> |
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body {{ |
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font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; |
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line-height: 1.6; |
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color: #333; |
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max-width: 800px; |
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margin: 0 auto; |
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padding: 20px; |
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background-color: #f9f9f9; |
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}} |
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.container {{ |
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background-color: white; |
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padding: 40px; |
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border-radius: 10px; |
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box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1); |
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}} |
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.header {{ |
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text-align: center; |
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border-bottom: 3px solid #4CAF50; |
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padding-bottom: 20px; |
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margin-bottom: 30px; |
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}} |
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.header h1 {{ |
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color: #2c3e50; |
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margin: 0; |
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font-size: 2.5em; |
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}} |
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.header .subtitle {{ |
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color: #7f8c8d; |
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font-style: italic; |
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margin-top: 10px; |
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}} |
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.problem-section {{ |
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background-color: #e8f5e8; |
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padding: 20px; |
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border-radius: 8px; |
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margin-bottom: 30px; |
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border-left: 5px solid #4CAF50; |
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}} |
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.problem-section h2 {{ |
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color: #2c3e50; |
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margin-top: 0; |
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}} |
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.solution-content {{ |
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background-color: #f8f9fa; |
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padding: 25px; |
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border-radius: 8px; |
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border-left: 5px solid #007bff; |
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}} |
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h1, h2, h3, h4, h5, h6 {{ |
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color: #2c3e50; |
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margin-top: 25px; |
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margin-bottom: 15px; |
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}} |
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h2 {{ |
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border-bottom: 2px solid #eee; |
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padding-bottom: 10px; |
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}} |
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code {{ |
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background-color: #f1f1f1; |
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padding: 2px 6px; |
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border-radius: 3px; |
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font-family: 'Courier New', monospace; |
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color: #d63384; |
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}} |
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pre {{ |
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background-color: #f8f8f8; |
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padding: 15px; |
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border-radius: 5px; |
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overflow-x: auto; |
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border: 1px solid #ddd; |
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}} |
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pre code {{ |
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background-color: transparent; |
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padding: 0; |
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color: inherit; |
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}} |
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.math-expression {{ |
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background-color: #fff3cd; |
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padding: 10px; |
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border-radius: 5px; |
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border: 1px solid #ffeaa7; |
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margin: 10px 0; |
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font-family: 'Times New Roman', serif; |
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font-size: 1.1em; |
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}} |
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.step {{ |
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margin: 20px 0; |
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padding: 15px; |
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background-color: #ffffff; |
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border-radius: 8px; |
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border: 1px solid #dee2e6; |
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}} |
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.final-answer {{ |
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background-color: #d4edda; |
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border: 2px solid #4CAF50; |
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padding: 20px; |
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border-radius: 8px; |
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margin-top: 30px; |
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text-align: center; |
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font-weight: bold; |
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font-size: 1.2em; |
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}} |
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.timestamp {{ |
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text-align: right; |
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color: #6c757d; |
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font-size: 0.9em; |
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margin-top: 30px; |
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padding-top: 20px; |
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border-top: 1px solid #eee; |
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}} |
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ul, ol {{ |
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padding-left: 25px; |
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}} |
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li {{ |
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margin: 8px 0; |
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}} |
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table {{ |
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border-collapse: collapse; |
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width: 100%; |
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margin: 20px 0; |
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}} |
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th, td {{ |
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border: 1px solid #ddd; |
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padding: 12px; |
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text-align: left; |
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}} |
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th {{ |
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background-color: #f8f9fa; |
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font-weight: bold; |
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}} |
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.print-button {{ |
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background-color: #007bff; |
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color: white; |
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border: none; |
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padding: 10px 20px; |
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border-radius: 5px; |
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cursor: pointer; |
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font-size: 16px; |
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margin: 10px 5px; |
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display: inline-block; |
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text-decoration: none; |
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}} |
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.print-button:hover {{ |
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background-color: #0056b3; |
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}} |
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@media print {{ |
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body {{ |
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background-color: white; |
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}} |
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.container {{ |
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box-shadow: none; |
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border: none; |
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}} |
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.print-button {{ |
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display: none; |
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}} |
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}} |
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</style> |
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<script> |
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function printPage() {{ |
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window.print(); |
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}} |
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</script> |
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<!-- MathJax Configuration --> |
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<script> |
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window.MathJax = {{ |
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tex: {{ |
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inlineMath: [['$', '$'], ['\\\\(', '\\\\)']], |
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displayMath: [['$$', '$$'], ['\\\\[', '\\\\]']], |
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processEscapes: true, |
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tags: 'ams', |
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macros: {{ |
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boxed: ['\\\\fbox{\\\\,#1}', 1] |
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}} |
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}}, |
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options: {{ |
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skipHtmlTags: ['script', 'noscript', 'style', 'textarea', 'pre'], |
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ignoreHtmlClass: 'tex2jax_ignore', |
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processHtmlClass: 'tex2jax_process' |
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}}, |
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loader: {{load: ['[tex]/ams', '[tex]/bbox']}}, |
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startup: {{ |
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ready: () => {{ |
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MathJax.startup.defaultReady(); |
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MathJax.typesetPromise(); |
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}} |
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}} |
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}}; |
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</script> |
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<script id="MathJax-script" async src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script> |
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</head> |
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<body> |
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<div class="container"> |
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<div class="header"> |
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<h1>📚 Advanced Math Tutor</h1> |
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<div class="subtitle">Step-by-Step Mathematical Solution</div> |
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</div> |
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<button class="print-button" onclick="printPage()">🖨️ Print to PDF</button> |
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{problem_section} |
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<div class="solution-content"> |
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<h2>🔍 Solution</h2> |
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{html_content} |
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</div> |
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<div class="timestamp">Generated on: {timestamp}</div> |
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</div> |
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</body> |
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</html>""" |
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return styled_html |
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def save_html_to_file(html_content, filename_prefix="math_solution"): |
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"""Save HTML content to a temporary file and return the file path""" |
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") |
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filename = f"{filename_prefix}_{timestamp}.html" |
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temp_dir = tempfile.gettempdir() |
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file_path = os.path.join(temp_dir, filename) |
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with open(file_path, 'w', encoding='utf-8') as f: |
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f.write(html_content) |
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return file_path |
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def html_to_pdf(html_content, filename_prefix="math_solution"): |
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"""Convert HTML content to PDF using Playwright for MathJax rendering and return the file path""" |
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") |
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filename = f"{filename_prefix}_{timestamp}.pdf" |
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temp_dir = tempfile.gettempdir() |
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html_path = os.path.join(temp_dir, f"{filename_prefix}_{timestamp}.html") |
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with open(html_path, 'w', encoding='utf-8') as f: |
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f.write(html_content) |
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pdf_path = os.path.join(temp_dir, filename) |
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try: |
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with sync_playwright() as p: |
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browser = p.chromium.launch(headless=True) |
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page = browser.new_page() |
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page.goto(f"file://{os.path.abspath(html_path)}") |
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page.wait_for_function( |
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"MathJax.tex2chtmlPromise ? MathJax.typesetPromise().then(() => true) : true", |
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timeout=30000 |
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) |
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page.pdf(path=pdf_path, format='A4', print_background=True) |
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browser.close() |
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os.remove(html_path) |
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return pdf_path |
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except Exception as e: |
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print(f"Error converting to PDF: {str(e)}") |
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if os.path.exists(html_path): |
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os.remove(html_path) |
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return None |
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def generate_math_solution_openrouter(api_key, problem_text, history=None): |
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if not api_key.strip(): |
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return "Please enter your OpenRouter API key.", None, None, history |
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if not problem_text.strip(): |
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return "Please enter a math problem.", None, None, history |
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try: |
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client = OpenAI( |
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base_url="https://openrouter.ai/api/v1", |
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api_key=api_key, |
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) |
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messages = [ |
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{ |
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"role": "system", |
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"content": """You are an expert math tutor who explains concepts clearly and thoroughly. Analyze the given math problem and provide a detailed step-by-step solution. For each step: |
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1. Show the mathematical operation |
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2. Explain why this step is necessary |
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3. Connect it to relevant mathematical concepts |
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Format your response using markdown with clear section headers. Begin with an "Initial Analysis" section, follow with numbered steps, and conclude with a "Final Answer" section. Use proper markdown formatting including: |
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- Headers (##, ###) |
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- **Bold text** for important points |
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- Use LaTeX math delimiters: $...$ for inline math, $$...$$ for display math. Use LaTeX syntax inside (e.g., $$A = \\pi r^2$$, $\\boxed{25\\pi}$). |
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- Lists and numbered steps |
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- Tables if needed for comparisons or data |
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Do not use [ ] or code blocks for math expressions; use math delimiters instead.""" |
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}, |
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] |
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if history: |
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for exchange in history: |
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messages.append({"role": "user", "content": exchange[0]}) |
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if len(exchange) > 1 and exchange[1]: |
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messages.append({"role": "assistant", "content": exchange[1]}) |
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messages.append({"role": "user", "content": f"Solve this math problem step-by-step: {problem_text}"}) |
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completion = client.chat.completions.create( |
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model="deepseek/deepseek-r1-0528:free", |
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messages=messages, |
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extra_headers={ |
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"HTTP-Referer": "https://advancedmathtutor.edu", |
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"X-Title": "Advanced Math Tutor", |
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} |
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) |
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markdown_solution = completion.choices[0].message.content |
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html_solution = markdown_to_html(markdown_solution, problem_text) |
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html_file_path = save_html_to_file(html_solution, "openrouter_solution") |
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pdf_file_path = html_to_pdf(html_solution, "openrouter_solution") |
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if history is None: |
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history = [] |
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history.append((problem_text, markdown_solution)) |
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return html_solution, html_file_path, pdf_file_path, history |
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except Exception as e: |
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error_message = f"Error: {str(e)}" |
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return error_message, None, None, history |
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def generate_math_solution_together(api_key, problem_text, image_path=None, history=None): |
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if not api_key.strip(): |
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return "Please enter your Together AI API key.", None, None, history |
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if not problem_text.strip() and image_path is None: |
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return "Please enter a math problem or upload an image of a math problem.", None, None, history |
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try: |
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client = Together(api_key=api_key) |
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messages = [ |
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{ |
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"role": "system", |
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"content": """You are an expert math tutor who explains concepts clearly and thoroughly. Analyze the given math problem and provide a detailed step-by-step solution. For each step: |
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1. Show the mathematical operation |
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2. Explain why this step is necessary |
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3. Connect it to relevant mathematical concepts |
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Format your response using markdown with clear section headers. Begin with an "Initial Analysis" section, follow with numbered steps, and conclude with a "Final Answer" section. Use proper markdown formatting including: |
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- Headers (##, ###) |
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- **Bold text** for important points |
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- Use LaTeX math delimiters: $...$ for inline math, $$...$$ for display math. Use LaTeX syntax inside (e.g., $$A = \\pi r^2$$, $\\boxed{25\\pi}$). |
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- Lists and numbered steps |
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- Tables if needed for comparisons or data |
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Do not use [ ] or code blocks for math expressions; use math delimiters instead.""" |
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} |
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] |
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if history: |
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for exchange in history: |
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messages.append({"role": "user", "content": exchange[0]}) |
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if len(exchange) > 1 and exchange[1]: |
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messages.append({"role": "assistant", "content": exchange[1]}) |
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user_message_content = [] |
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if problem_text.strip(): |
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user_message_content.append( |
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{ |
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"type": "text", |
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"text": f"Solve this math problem: {problem_text}" |
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} |
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) |
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else: |
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user_message_content.append( |
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{ |
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"type": "text", |
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"text": "Solve this math problem from the image:" |
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} |
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) |
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if image_path: |
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base64_image = image_to_base64(image_path) |
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if base64_image: |
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user_message_content.append( |
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{ |
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"type": "image_url", |
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"image_url": { |
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"url": f"data:image/jpeg;base64,{base64_image}" |
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} |
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} |
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) |
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messages.append( |
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{ |
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"role": "user", |
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"content": user_message_content |
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} |
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) |
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response = client.chat.completions.create( |
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model="ServiceNow-AI/Apriel-1.5-15b-Thinker", |
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messages=messages, |
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stream=False |
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) |
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markdown_solution = response.choices[0].message.content |
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|
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problem_display = problem_text if problem_text.strip() else "Image-based problem" |
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html_solution = markdown_to_html(markdown_solution, problem_display) |
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|
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html_file_path = save_html_to_file(html_solution, "together_solution") |
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|
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pdf_file_path = html_to_pdf(html_solution, "together_solution") |
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|
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if history is None: |
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history = [] |
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history.append((problem_display, markdown_solution)) |
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return html_solution, html_file_path, pdf_file_path, history |
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|
except Exception as e: |
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error_message = f"Error: {str(e)}" |
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return error_message, None, None, history |
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|
|
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|
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def image_to_base64(image_path): |
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if image_path is None: |
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return None |
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try: |
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with open(image_path, "rb") as img_file: |
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return base64.b64encode(img_file.read()).decode("utf-8") |
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except Exception as e: |
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print(f"Error converting image to base64: {str(e)}") |
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return None |
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|
|
|
|
|
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def create_demo(): |
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with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue")) as demo: |
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gr.Markdown("# 📚 Advanced Math Tutor") |
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gr.Markdown( |
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"""This application provides step-by-step solutions to math problems using advanced AI models. Solutions are generated in **HTML format** with download and print-to-PDF capabilities. Choose between OpenRouter's Phi-4-reasoning-plus for text-based problems or Together AI's Llama-Vision for problems with images.""" |
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) |
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|
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with gr.Tabs(): |
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|
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with gr.TabItem("Text Problem Solver (OpenRouter)"): |
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with gr.Row(): |
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with gr.Column(scale=1): |
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|
openrouter_api_key = gr.Textbox( |
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label="OpenRouter API Key", |
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|
placeholder="Enter your OpenRouter API key (starts with sk-or-)", |
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|
type="password" |
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) |
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text_problem_input = gr.Textbox( |
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label="Math Problem", |
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placeholder="Enter your math problem here...", |
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lines=5 |
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) |
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example_problems = gr.Examples( |
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examples=[ |
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["Solve the quadratic equation: 3x² + 5x - 2 = 0"], |
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["Find the derivative of f(x) = x³ln(x)"], |
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|
["Calculate the area of a circle with radius 5 cm"], |
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|
["Find all values of x that satisfy the equation: log₂(x-1) + log₂(x+3) = 5"] |
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|
], |
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inputs=[text_problem_input], |
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|
label="Example Problems" |
|
|
) |
|
|
with gr.Row(): |
|
|
openrouter_submit_btn = gr.Button("Solve Problem", variant="primary") |
|
|
openrouter_clear_btn = gr.Button("Clear") |
|
|
with gr.Column(scale=2): |
|
|
openrouter_solution_output = gr.HTML(label="Solution (HTML Format)") |
|
|
with gr.Row(): |
|
|
openrouter_html_download = gr.File( |
|
|
label="📄 Download HTML Solution", |
|
|
visible=False |
|
|
) |
|
|
openrouter_pdf_download = gr.File( |
|
|
label="📄 Download PDF Solution", |
|
|
visible=False |
|
|
) |
|
|
|
|
|
openrouter_conversation_history = gr.State(value=None) |
|
|
|
|
|
def handle_openrouter_submit(api_key, problem_text, history): |
|
|
html_solution, html_file, pdf_file, updated_history = generate_math_solution_openrouter( |
|
|
api_key, problem_text, history |
|
|
) |
|
|
|
|
|
return ( |
|
|
html_solution, |
|
|
updated_history, |
|
|
gr.update(value=html_file, visible=html_file is not None), |
|
|
gr.update(value=pdf_file, visible=pdf_file is not None) |
|
|
) |
|
|
openrouter_submit_btn.click( |
|
|
fn=handle_openrouter_submit, |
|
|
inputs=[openrouter_api_key, text_problem_input, openrouter_conversation_history], |
|
|
outputs=[ |
|
|
openrouter_solution_output, |
|
|
openrouter_conversation_history, |
|
|
openrouter_html_download, |
|
|
openrouter_pdf_download |
|
|
] |
|
|
) |
|
|
def clear_openrouter(): |
|
|
return ( |
|
|
"", |
|
|
None, |
|
|
gr.update(value=None, visible=False), |
|
|
gr.update(value=None, visible=False) |
|
|
) |
|
|
openrouter_clear_btn.click( |
|
|
fn=clear_openrouter, |
|
|
inputs=[], |
|
|
outputs=[ |
|
|
openrouter_solution_output, |
|
|
openrouter_conversation_history, |
|
|
openrouter_html_download, |
|
|
openrouter_pdf_download |
|
|
] |
|
|
) |
|
|
|
|
|
with gr.TabItem("Image Problem Solver (Together AI)"): |
|
|
with gr.Row(): |
|
|
with gr.Column(scale=1): |
|
|
together_api_key = gr.Textbox( |
|
|
label="Together AI API Key", |
|
|
placeholder="Enter your Together AI API key", |
|
|
type="password" |
|
|
) |
|
|
together_problem_input = gr.Textbox( |
|
|
label="Problem Description (Optional)", |
|
|
placeholder="Enter additional context for the image problem...", |
|
|
lines=3 |
|
|
) |
|
|
together_image_input = gr.Image( |
|
|
label="Upload Math Problem Image", |
|
|
type="filepath" |
|
|
) |
|
|
with gr.Row(): |
|
|
together_submit_btn = gr.Button("Solve Problem", variant="primary") |
|
|
together_clear_btn = gr.Button("Clear") |
|
|
with gr.Column(scale=2): |
|
|
together_solution_output = gr.HTML(label="Solution (HTML Format)") |
|
|
with gr.Row(): |
|
|
together_html_download = gr.File( |
|
|
label="📄 Download HTML Solution", |
|
|
visible=False |
|
|
) |
|
|
together_pdf_download = gr.File( |
|
|
label="📄 Download PDF Solution", |
|
|
visible=False |
|
|
) |
|
|
|
|
|
together_conversation_history = gr.State(value=None) |
|
|
|
|
|
def handle_together_submit(api_key, problem_text, image_path, history): |
|
|
html_solution, html_file, pdf_file, updated_history = generate_math_solution_together( |
|
|
api_key, problem_text, image_path, history |
|
|
) |
|
|
|
|
|
return ( |
|
|
html_solution, |
|
|
updated_history, |
|
|
gr.update(value=html_file, visible=html_file is not None), |
|
|
gr.update(value=pdf_file, visible=pdf_file is not None) |
|
|
) |
|
|
together_submit_btn.click( |
|
|
fn=handle_together_submit, |
|
|
inputs=[together_api_key, together_problem_input, together_image_input, together_conversation_history], |
|
|
outputs=[ |
|
|
together_solution_output, |
|
|
together_conversation_history, |
|
|
together_html_download, |
|
|
together_pdf_download |
|
|
] |
|
|
) |
|
|
def clear_together(): |
|
|
return ( |
|
|
"", |
|
|
None, |
|
|
gr.update(value=None, visible=False), |
|
|
gr.update(value=None, visible=False) |
|
|
) |
|
|
together_clear_btn.click( |
|
|
fn=clear_together, |
|
|
inputs=[], |
|
|
outputs=[ |
|
|
together_solution_output, |
|
|
together_conversation_history, |
|
|
together_html_download, |
|
|
together_pdf_download |
|
|
] |
|
|
) |
|
|
|
|
|
with gr.TabItem("Help"): |
|
|
gr.Markdown( |
|
|
|
|
|
|
|
|
- **HTML-formatted solutions**: All responses are now generated in beautiful HTML format with MathJax for proper math rendering |
|
|
- **Download HTML**: Download the complete solution as an HTML file (math renders perfectly) |
|
|
- **Download PDF**: Convert and download solutions as PDF files (math rendered via browser for perfect equations) |
|
|
- **Print functionality**: Use the "Print to PDF" button in the HTML output to print directly (renders math via MathJax) |
|
|
) |
|
|
return demo |
|
|
|
|
|
|
|
|
if __name__ == "__main__": |
|
|
demo = create_demo() |
|
|
demo.launch() |
|
|
|
