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Advanced-Math-Tutor-App

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shukdevdatta123 commited on 21 days ago

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4011f06

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1 Parent(s): 8e04214

Update app.py

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@@ -1,725 +1,42 @@
-import gradio as gr
 import os
-import re
-import time
-import base64
-from openai import OpenAI
-from together import Together
-from PIL import Image
-import io
-import markdown
-from datetime import datetime
 import tempfile
-import weasyprint
-from pathlib import Path
-# Function to convert markdown to HTML with styling
-def markdown_to_html(markdown_text, problem_text="", include_problem=True):
-    """Convert markdown to styled HTML"""
-    # Convert markdown to HTML
-    html_content = markdown.markdown(markdown_text, extensions=['tables', 'fenced_code'])
-    # Get current timestamp
-    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-    # Create styled HTML document
-    styled_html = f"""
-    <!DOCTYPE html>
-    <html lang="en">
-    <head>
-        <meta charset="UTF-8">
-        <meta name="viewport" content="width=device-width, initial-scale=1.0">
-        <title>Math Solution - Advanced Math Tutor</title>
-        <style>
-            body {{
-                font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
-                line-height: 1.6;
-                color: #333;
-                max-width: 800px;
-                margin: 0 auto;
-                padding: 20px;
-                background-color: #f9f9f9;
-            }}
-            .container {{
-                background-color: white;
-                padding: 40px;
-                border-radius: 10px;
-                box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
-            }}
-            .header {{
-                text-align: center;
-                border-bottom: 3px solid #4CAF50;
-                padding-bottom: 20px;
-                margin-bottom: 30px;
-            }}
-            .header h1 {{
-                color: #2c3e50;
-                margin: 0;
-                font-size: 2.5em;
-            }}
-            .header .subtitle {{
-                color: #7f8c8d;
-                font-style: italic;
-                margin-top: 10px;
-            }}
-            .problem-section {{
-                background-color: #e8f5e8;
-                padding: 20px;
-                border-radius: 8px;
-                margin-bottom: 30px;
-                border-left: 5px solid #4CAF50;
-            }}
-            .problem-section h2 {{
-                color: #2c3e50;
-                margin-top: 0;
-            }}
-            .solution-content {{
-                background-color: #f8f9fa;
-                padding: 25px;
-                border-radius: 8px;
-                border-left: 5px solid #007bff;
-            }}
-            h1, h2, h3, h4, h5, h6 {{
-                color: #2c3e50;
-                margin-top: 25px;
-                margin-bottom: 15px;
-            }}
-            h2 {{
-                border-bottom: 2px solid #eee;
-                padding-bottom: 10px;
-            }}
-            code {{
-                background-color: #f1f1f1;
-                padding: 2px 6px;
-                border-radius: 3px;
-                font-family: 'Courier New', monospace;
-                color: #d63384;
-            }}
-            pre {{
-                background-color: #f8f8f8;
-                padding: 15px;
-                border-radius: 5px;
-                overflow-x: auto;
-                border: 1px solid #ddd;
-            }}
-            pre code {{
-                background-color: transparent;
-                padding: 0;
-                color: inherit;
-            }}
-            .math-expression {{
-                background-color: #fff3cd;
-                padding: 10px;
-                border-radius: 5px;
-                border: 1px solid #ffeaa7;
-                margin: 10px 0;
-                font-family: 'Times New Roman', serif;
-                font-size: 1.1em;
-            }}
-            .step {{
-                margin: 20px 0;
-                padding: 15px;
-                background-color: #ffffff;
-                border-radius: 8px;
-                border: 1px solid #dee2e6;
-            }}
-            .final-answer {{
-                background-color: #d4edda;
-                border: 2px solid #4CAF50;
-                padding: 20px;
-                border-radius: 8px;
-                margin-top: 30px;
-                text-align: center;
-                font-weight: bold;
-                font-size: 1.2em;
-            }}
-            .timestamp {{
-                text-align: right;
-                color: #6c757d;
-                font-size: 0.9em;
-                margin-top: 30px;
-                padding-top: 20px;
-                border-top: 1px solid #eee;
-            }}
-            ul, ol {{
-                padding-left: 25px;
-            }}
-            li {{
-                margin: 8px 0;
-            }}
-            table {{
-                border-collapse: collapse;
-                width: 100%;
-                margin: 20px 0;
-            }}
-            th, td {{
-                border: 1px solid #ddd;
-                padding: 12px;
-                text-align: left;
-            }}
-            th {{
-                background-color: #f8f9fa;
-                font-weight: bold;
-            }}
-            .print-button {{
-                background-color: #007bff;
-                color: white;
-                border: none;
-                padding: 10px 20px;
-                border-radius: 5px;
-                cursor: pointer;
-                font-size: 16px;
-                margin: 10px 5px;
-                display: inline-block;
-                text-decoration: none;
-            }}
-            .print-button:hover {{
-                background-color: #0056b3;
-            }}
-            @media print {{
-                body {{
-                    background-color: white;
-                }}
-                .container {{
-                    box-shadow: none;
-                    border: none;
-                }}
-                .print-button {{
-                    display: none;
-                }}
-            }}
-        </style>
-        <script>
-            function printPage() {{
-                window.print();
-            }}
-        </script>
-    </head>
-    <body>
-        <div class="container">
-            <div class="header">
-                <h1>📚 Advanced Math Tutor</h1>
-                <div class="subtitle">Step-by-Step Mathematical Solution</div>
-            </div>
-            <button class="print-button" onclick="printPage()">🖨️ Print to PDF</button>
-            {f'''
-            <div class="problem-section">
-                <h2>📝 Problem Statement</h2>
-                <p><strong>{problem_text}</strong></p>
-            </div>
-            ''' if include_problem and problem_text.strip() else ''}
-            <div class="solution-content">
-                <h2>🔍 Solution</h2>
-                {html_content}
-            </div>
-            <div class="timestamp">
-                Generated on: {timestamp}
-            </div>
-        </div>
-    </body>
-    </html>
-    """
-    return styled_html
-# Function to save HTML to file
-def save_html_to_file(html_content, filename_prefix="math_solution"):
-    """Save HTML content to a temporary file and return the file path"""
-    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-    filename = f"{filename_prefix}_{timestamp}.html"
-    # Create a temporary file
-    temp_dir = tempfile.gettempdir()
-    file_path = os.path.join(temp_dir, filename)
-    with open(file_path, 'w', encoding='utf-8') as f:
-        f.write(html_content)
-    return file_path
-# Function to convert HTML to PDF
-def html_to_pdf(html_content, filename_prefix="math_solution"):
-    """Convert HTML content to PDF and return the file path"""
-    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-    filename = f"{filename_prefix}_{timestamp}.pdf"
-    # Create a temporary file for PDF
-    temp_dir = tempfile.gettempdir()
-    pdf_path = os.path.join(temp_dir, filename)
-    try:
-        # Convert HTML to PDF using WeasyPrint
-        weasyprint.HTML(string=html_content).write_pdf(pdf_path)
-        return pdf_path
-    except Exception as e:
-        print(f"Error converting to PDF: {str(e)}")
-        return None
-# Enhanced function to generate math solution using OpenRouter with HTML output
-def generate_math_solution_openrouter(api_key, problem_text, history=None):
-    if not api_key.strip():
-        return "Please enter your OpenRouter API key.", None, None, history
-    if not problem_text.strip():
-        return "Please enter a math problem.", None, None, history
-    try:
-        client = OpenAI(
-            base_url="https://openrouter.ai/api/v1",
-            api_key=api_key,
-        )
-        messages = [
-            {"role": "system", "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:
-             1. Show the mathematical operation
-             2. Explain why this step is necessary
-             3. Connect it to relevant mathematical concepts
-             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:
-             - Headers (##, ###)
-             - **Bold text** for important points
-             - `Code blocks` for mathematical expressions
-             - Lists and numbered steps
-             - Tables if needed for comparisons or data"""},
-        ]
-        # Add conversation history if it exists
-        if history:
-            for exchange in history:
-                messages.append({"role": "user", "content": exchange[0]})
-                if len(exchange) > 1 and exchange[1]:  # Check if there's a response
-                    messages.append({"role": "assistant", "content": exchange[1]})
-        # Add the current problem
-        messages.append({"role": "user", "content": f"Solve this math problem step-by-step: {problem_text}"})
-        # Create the completion
-        completion = client.chat.completions.create(
-            model="microsoft/phi-4-reasoning-plus:free",
-            messages=messages,
-            extra_headers={
-                "HTTP-Referer": "https://advancedmathtutor.edu",
-                "X-Title": "Advanced Math Tutor",
-            }
-        )
-        markdown_solution = completion.choices[0].message.content
-        # Convert to HTML
-        html_solution = markdown_to_html(markdown_solution, problem_text)
-        # Save HTML file
-        html_file_path = save_html_to_file(html_solution, "openrouter_solution")
-        # Convert to PDF
-        pdf_file_path = html_to_pdf(html_solution, "openrouter_solution")
-        # Update history
-        if history is None:
-            history = []
-        history.append((problem_text, markdown_solution))
-        return html_solution, html_file_path, pdf_file_path, history
-    except Exception as e:
-        error_message = f"Error: {str(e)}"
-        return error_message, None, None, history
-# Enhanced function to generate math solution using Together AI with HTML output
-def generate_math_solution_together(api_key, problem_text, image_path=None, history=None):
-    if not api_key.strip():
-        return "Please enter your Together AI API key.", None, None, history
-    if not problem_text.strip() and image_path is None:
-        return "Please enter a math problem or upload an image of a math problem.", None, None, history
-    try:
-        client = Together(api_key=api_key)
-        # Create the base message structure
-        messages = [
-            {
-                "role": "system",
-                "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:
-                 1. Show the mathematical operation
-                 2. Explain why this step is necessary
-                 3. Connect it to relevant mathematical concepts
-                 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:
-                 - Headers (##, ###)
-                 - **Bold text** for important points
-                 - `Code blocks` for mathematical expressions
-                 - Lists and numbered steps
-                 - Tables if needed for comparisons or data"""
-            }
-        ]
-        # Add conversation history if it exists
-        if history:
-            for exchange in history:
-                messages.append({"role": "user", "content": exchange[0]})
-                if len(exchange) > 1 and exchange[1]:  # Check if there's a response
-                    messages.append({"role": "assistant", "content": exchange[1]})
-        # Prepare the user message content
-        user_message_content = []
-        # Add text content if provided
-        if problem_text.strip():
-            user_message_content.append({
-                "type": "text",
-                "text": f"Solve this math problem: {problem_text}"
-            })
-        else:
-            user_message_content.append({
-                "type": "text",
-                "text": "Solve this math problem from the image:"
-            })
-        # Add image if provided
-        if image_path:
-            # Convert image to base64
-            base64_image = image_to_base64(image_path)
-            if base64_image:
-                user_message_content.append({
-                    "type": "image_url",
-                    "image_url": {
-                        "url": f"data:image/jpeg;base64,{base64_image}"
-                    }
-                })
-        # Add the user message with content
-        messages.append({
-            "role": "user",
-            "content": user_message_content
-        })
-        # Create the completion
-        response = client.chat.completions.create(
-            model="meta-llama/Llama-Vision-Free",
-            messages=messages,
-            stream=False
-        )
-        markdown_solution = response.choices[0].message.content
-        # Convert to HTML
-        problem_display = problem_text if problem_text.strip() else "Image-based problem"
-        html_solution = markdown_to_html(markdown_solution, problem_display)
-        # Save HTML file
-        html_file_path = save_html_to_file(html_solution, "together_solution")
-        # Convert to PDF
-        pdf_file_path = html_to_pdf(html_solution, "together_solution")
-        # Update history - for simplicity, just store the text problem
-        if history is None:
-            history = []
-        history.append((problem_display, markdown_solution))
-        return html_solution, html_file_path, pdf_file_path, history
-    except Exception as e:
-        error_message = f"Error: {str(e)}"
-        return error_message, None, None, history
-# Function to convert image to base64
-def image_to_base64(image_path):
-    if image_path is None:
-        return None
-    try:
-        with open(image_path, "rb") as img_file:
-            return base64.b64encode(img_file.read()).decode("utf-8")
-    except Exception as e:
-        print(f"Error converting image to base64: {str(e)}")
-        return None
-# Define the Gradio interface
-def create_demo():
-    with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue")) as demo:
-        gr.Markdown("# 📚 Advanced Math Tutor")
-        gr.Markdown("""
-        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.
-        """)
-        # Main tabs
-        with gr.Tabs():
-            # Text-based problem solver (OpenRouter)
-            with gr.TabItem("Text Problem Solver (OpenRouter)"):
-                with gr.Row():
-                    with gr.Column(scale=1):
-                        openrouter_api_key = gr.Textbox(
-                            label="OpenRouter API Key",
-                            placeholder="Enter your OpenRouter API key (starts with sk-or-)",
-                            type="password"
-                        )
-                        text_problem_input = gr.Textbox(
-                            label="Math Problem",
-                            placeholder="Enter your math problem here...",
-                            lines=5
-                        )
-                        example_problems = gr.Examples(
-                            examples=[
-                                ["Solve the quadratic equation: 3x² + 5x - 2 = 0"],
-                                ["Find the derivative of f(x) = x³ln(x)"],
-                                ["Calculate the area of a circle with radius 5 cm"],
-                                ["Find all values of x that satisfy the equation: log₂(x-1) + log₂(x+3) = 5"]
-                            ],
-                            inputs=[text_problem_input],
-                            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
-                        )
-                # Store conversation history (invisible to user)
-                openrouter_conversation_history = gr.State(value=None)
-                # Button actions
-                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 outputs including file updates
-                    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
-                    ]
-                )
-            # Image-based problem solver (Together AI)
-            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
-                        )
-                # Store conversation history (invisible to user)
-                together_conversation_history = gr.State(value=None)
-                # Button actions
-                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 outputs including file updates
-                    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
-                    ]
-                )
-            # Help tab
-            with gr.TabItem("Help"):
-                gr.Markdown("""
-                ## How to Use the Advanced Math Tutor
-                ### New Features 🎉
-                - **HTML-formatted solutions**: All responses are now generated in beautiful HTML format
-                - **Download HTML**: Download the complete solution as an HTML file
-                - **Download PDF**: Convert and download solutions as PDF files
-                - **Print functionality**: Use the "Print to PDF" button in the HTML output to print directly
-                ### Getting Started
-                #### For Text-Based Problems (OpenRouter)
-                1. You'll need an API key from OpenRouter
-                2. Sign up at [OpenRouter](https://openrouter.ai/) to get your API key
-                3. Enter your API key in the designated field in the "Text Problem Solver" tab
-                #### For Image-Based Problems (Together AI)
-                1. You'll need an API key from Together AI
-                2. Sign up at [Together AI](https://www.together.ai/) to get your API key
-                3. Enter your API key in the designated field in the "Image Problem Solver" tab
-                4. Upload an image of your math problem
-                5. Optionally add text to provide additional context
-                ### Solving Math Problems
-                - For text problems: Type or paste your math problem in the input field
-                - For image problems: Upload a clear image of the math problem
-                - Click "Solve Problem" to get a detailed step-by-step solution in HTML format
-                - Use the download buttons to save HTML or PDF versions
-                - Click "Print to PDF" within the solution to print directly from your browser
-                ### HTML Output Features
-                - **Professional styling**: Clean, readable format with proper typography
-                - **Mathematical expressions**: Highlighted math expressions and code blocks
-                - **Step-by-step sections**: Clearly organized solution steps
-                - **Print-friendly**: Optimized for printing and PDF conversion
-                - **Timestamps**: Each solution includes generation timestamp
-                ### Tips for Best Results
-                - Be specific in your problem description
-                - Include all necessary information
-                - For complex equations, use clear notation
-                - For algebraic expressions, use ^ for exponents (e.g., x^2 for x²)
-                - Use parentheses to group terms clearly
-                - For images, ensure the math problem is clearly visible and well-lit
-                ### Types of Problems You Can Solve
-                - Algebra (equations, inequalities, systems of equations)
-                - Calculus (derivatives, integrals, limits)
-                - Trigonometry
-                - Geometry
-                - Statistics and Probability
-                - Number Theory
-                - And many more!
-                ### Required Dependencies
-                To run this application, you'll need to install:
-                ```bash
-                pip install gradio openai together pillow markdown weasyprint
-                ```
-                """)
-        # Footer
-        gr.Markdown("""
-        ---
-        ### About
-        This enhanced application uses Microsoft's Phi-4-reasoning-plus model via OpenRouter for text-based problems
-        and Llama-Vision-Free via Together AI for image-based problems.
-        **New Features:**
-        - HTML-formatted responses with professional styling
-        - Download solutions as HTML files
-        - Convert and download solutions as PDF files
-        - Print-to-PDF functionality
-        - Enhanced formatting with mathematical expressions highlighting
-        Your API keys are required but not stored permanently.
-        """)
-    return demo
-# Launch the app
 if __name__ == "__main__":
-    demo = create_demo()
-    demo.launch()

+from Crypto.Cipher import AES
+from Crypto.Protocol.KDF import PBKDF2
 import os
 import tempfile
+from dotenv import load_dotenv
+load_dotenv()  # Load all environment variables
+def unpad(data):
+    return data[:-data[-1]]
+def decrypt_and_run():
+    # Get password from Hugging Face Secrets environment variable
+    password = os.getenv("PASSWORD")
+    if not password:
+        raise ValueError("PASSWORD secret not found in environment variables")
+    password = password.encode()
+    with open("code.enc", "rb") as f:
+        encrypted = f.read()
+    salt = encrypted[:16]
+    iv = encrypted[16:32]
+    ciphertext = encrypted[32:]
+    key = PBKDF2(password, salt, dkLen=32, count=1000000)
+    cipher = AES.new(key, AES.MODE_CBC, iv)
+    plaintext = unpad(cipher.decrypt(ciphertext))
+    with tempfile.NamedTemporaryFile(suffix=".py", delete=False, mode='wb') as tmp:
+        tmp.write(plaintext)
+        tmp.flush()
+        print(f"[INFO] Running decrypted code from {tmp.name}")
+        os.system(f"python {tmp.name}")
 if __name__ == "__main__":
+    decrypt_and_run()
+# This script decrypts the encrypted code and runs it.
+# Ensure you have the PASSWORD secret set in your Hugging Face Secrets