app.py

import gradio as gr
import os
from huggingface_hub import InferenceClient
from datasets import load_dataset
import random
import re

# Load math datasets for sample problems
fw = load_dataset("HuggingFaceFW/fineweb-edu", name="sample-10BT", split="train", streaming=True)
ds = load_dataset("HuggingFaceH4/ultrachat_200k", streaming=True)

def load_sample_problems():
    """Load sample problems from math datasets"""
    try:
        gsm8k = load_dataset("openai/gsm8k", "main", streaming=True)
        samples = []
        for i, item in enumerate(gsm8k["train"]):
            samples.append(item["question"])
            if i >= 50:
                break
        return samples
    except:
        return [
            "What is the derivative of f(x) = 3x² + 2x - 1?",
            "A triangle has sides of length 5, 12, and 13. What is its area?",
            "If log₂(x) + log₂(x+6) = 4, find the value of x.",
            "Find the limit: lim(x→0) (sin(x)/x)",
            "Solve the system: x + 2y = 7, 3x - y = 4"
        ]

math_samples = load_sample_problems()

def create_math_system_message():
    """Create specialized system prompt for mathematics"""
    return """You are Mathetics AI, an advanced mathematics tutor and problem solver. 

🧮 **Your Expertise:**
- Step-by-step problem solving with clear explanations
- Multiple solution approaches when applicable
- Proper mathematical notation and terminology
- Verification of answers through different methods

📐 **Problem Domains:**
- Arithmetic, Algebra, and Number Theory
- Geometry, Trigonometry, and Coordinate Geometry
- Calculus (Limits, Derivatives, Integrals)
- Statistics, Probability, and Data Analysis
- Competition Mathematics (AMC, AIME level)

💡 **Teaching Style:**
1. **Understand the Problem** - Identify what's being asked
2. **Plan the Solution** - Choose the appropriate method
3. **Execute Step-by-Step** - Show all work clearly
4. **Verify the Answer** - Check if the result makes sense
5. **Alternative Methods** - Mention other possible approaches

Always be precise, educational, and encourage mathematical thinking."""

def render_latex(text):
    """Format math expressions for LaTeX rendering"""
    if not text:  # Safety check
        return text
    # Wrap inline math: x^2 → $x^2$
    text = re.sub(r'\b([a-zA-Z]+)\^?(\d*)\b', r'$\1^{\2}$', text)
    # Wrap functions: sin(x) → $\sin(x)$
    text = re.sub(r'([a-zA-Z]+)\(([^)]+)\)', r'$\1(\2)$', text)
    # Wrap limits: lim(x→0) → $\lim_{x\to0}$
    text = re.sub(r'lim\(([a-z])→([0-9.]+)\)', r'$\lim_{ \1 \to \2}$', text)
    return text

def respond(message, history, system_message, max_tokens, temperature, top_p):
    # Show initial thinking
    yield "🤔 Thinking for the suitable answer..."
    
    # Use Qwen Math model
    client = InferenceClient(model="Qwen/Qwen2.5-Math-7B-Instruct")
    
    # Build messages
    messages = [{"role": "system", "content": system_message}]
    messages.extend(history)
    messages.append({"role": "user", "content": message})
    
    response = ""
    max_tokens = max(max_tokens, 1536)  # Ensure no truncation
    
    try:
        for message_chunk in client.chat_completion(
            messages,
            max_tokens=max_tokens,
            stream=True,
            temperature=temperature,
            top_p=top_p,
        ):
            choices = message_chunk.choices
            if len(choices) and choices[0].delta.content:
                token = choices[0].delta.content
                response += token
                # Stream raw during generation, format at end
                if "```" in response or len(response) > 500:  # Format after substantial response
                    formatted = render_latex(response)
                    yield formatted
                else:
                    yield response
                    
        # Final formatted response
        final_formatted = render_latex(response)
        yield final_formatted
            
    except Exception as e:
        error_msg = f"❌ **Error**: {str(e)}\n\n💡 **Troubleshooting**:\n- Make sure you're logged in with Hugging Face\n- Check if the model is accessible\n- Try a simpler problem first"
        yield error_msg

def get_random_sample():
    """Get a random sample problem"""
    if math_samples:
        return random.choice(math_samples)
    return "Solve for x: 2x² + 5x - 3 = 0"

def insert_sample_to_chat(difficulty):
    """Insert random sample into chat input"""
    sample = get_random_sample()
    return "", [None, sample]  # Clear input, add sample to chat

def show_help():
    return """**Math Help Tips:**
        
    1. **Be Specific**: "Find the derivative of..." instead of "Help with calculus"
    2. **Show Your Work**: "I got x=5, is this correct?"
    3. **Ask for Steps**: "Show me step-by-step how to solve..."
    4. **Request Verification**: "Check my solution to this problem"
    5. **Alternative Methods**: "What's another way to solve this?"
    """

# Create ChatInterface
chatbot = gr.ChatInterface(
    respond,
    type="messages",
    title="🧮 **Mathetics AI** - Advanced Mathematics Solver",
    description="""
    **Powered by Qwen 2.5-Math** | **Specialized for Mathematical Problem Solving**
    
    ✨ **Capabilities**: Algebra • Geometry • Calculus • Statistics • Competition Math
    📚 **Features**: Step-by-step solutions • Multiple approaches • Clear explanations
    """,
    additional_inputs=[
        gr.Textbox(
            value=create_math_system_message(), 
            label="🧠 System Message (Math Tutor Personality)",
            lines=3,
            max_lines=10
        ),
        gr.Slider(minimum=256, maximum=2048, value=768, step=64, label="📝 Max Tokens"),
        gr.Slider(minimum=0.1, maximum=1.0, value=0.3, step=0.1, label="🎯 Temperature"),
        gr.Slider(minimum=0.1, maximum=1.0, value=0.85, step=0.05, label="🔍 Top-p"),
    ],
    examples=[
        ["What is the derivative of f(x) = 3x² + 2x - 1?"],
        ["A triangle has sides of length 5, 12, and 13. What is its area?"],
        ["Find the limit: lim(x→0) (sin(x)/x)"],
        ["Solve the system: x + 2y = 7, 3x - y = 4"],
        ["What is the integral of ∫(2x³ - 5x + 3)dx?"]
    ],
    cache_examples=False,
    concurrency_limit=10,
)

# Main interface
with gr.Blocks(
    title="🧮 Mathetics AI", 
    theme=gr.themes.Soft(),
    css="""
    .math-highlight { background-color: #f0f8ff; padding: 10px; border-left: 4px solid #4CAF50; margin: 10px 0; border-radius: 5px; }
    .difficulty-selector { background-color: #fff3e0; padding: 15px; border-radius: 10px; margin: 10px 0; }
    .markdown math { font-size: 1.1em; }
    """
) as demo:
    
    gr.Markdown("# 🧮 **Mathematics AI** - Advanced Mathematics Solver\n**Your Personal AI Math Tutor**")
    
    with gr.Row():
        with gr.Column(scale=4):
            chatbot.render()
            
        with gr.Column(scale=1):
            with gr.Accordion("🎲 **Quick Actions**", open=True):
                difficulty_preset = gr.Dropdown(
                    choices=["Elementary", "High School", "College", "Competition"],
                    value="High School",
                    label="🎯 Problem Difficulty",
                    elem_classes=["difficulty-selector"]
                )
                
                sample_btn = gr.Button("🎯 Get Sample Problem", variant="secondary")
                help_btn = gr.Button("❓ Math Help Tips", variant="secondary")
                
                gr.Markdown("### 🔧 **Quick Tools**")
                gr.Markdown("- **Algebra**: Equations, inequalities, factoring\n- **Geometry**: Area, volume, trigonometry\n- **Calculus**: Derivatives, integrals, limits\n- **Statistics**: Probability, distributions\n- **Number Theory**: Prime factorization, GCD/LCM")
    
    gr.Markdown("""
    ---
    **🔧 Technical Details:** Qwen/Qwen2.5-Math-7B-Instruct | Real-time streaming responses
    
    **💡 Usage Tips:** Be specific • Request step-by-step • Ask for verification
    """)
    
    # Event handlers
    sample_btn.click(
        insert_sample_to_chat,
        inputs=[difficulty_preset],
        outputs=[chatbot]  # Actually feeds into chat now!
    )
    
    help_btn.click(
        show_help,
        outputs=gr.Markdown()  # Could show in a separate output
    )

if __name__ == "__main__":
    demo.launch()