app.py

import gradio as gr
from model_wrapper import CodeDebuggerWrapper
import logging

# Set up logging for the main app
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Global variable to store the debugger instance
debugger = None

def initialize_debugger():
    """Initialize the debugger with proper error handling."""
    global debugger
    try:
        logger.info("🚀 Initializing Code Debugger...")
        debugger = CodeDebuggerWrapper()
        logger.info("✅ Debugger initialized successfully!")
        return "✅ Model loaded successfully!"
    except Exception as e:
        error_msg = f"❌ Failed to initialize debugger: {str(e)}"
        logger.error(error_msg)
        return error_msg

def debug_code(code: str):
    """Debug code with proper error handling."""
    global debugger
    
    if not code or not code.strip():
        return "❌ Please paste some code to debug."
    
    # Initialize debugger if not already done
    if debugger is None:
        init_result = initialize_debugger()
        if "❌" in init_result:
            return init_result
    
    try:
        logger.info("🐞 Processing code debug request...")
        result = debugger.debug(code)
        logger.info("✅ Debug request completed")
        return result
    except Exception as e:
        error_msg = f"❌ Error during model inference: {str(e)}"
        logger.error(error_msg)
        return error_msg

# Create the Gradio interface
def create_interface():
    """Create the Gradio interface."""
    
    # Custom CSS for better styling
    css = """
    .gradio-container {
        font-family: 'Arial', sans-serif;
    }
    .gr-button {
        background: linear-gradient(45deg, #FF6B6B, #4ECDC4);
        border: none;
        color: white;
        font-weight: bold;
    }
    .gr-button:hover {
        transform: translateY(-2px);
        box-shadow: 0 4px 8px rgba(0,0,0,0.2);
    }
    """
    
    with gr.Blocks(css=css, title="🐞 AI Code Debugger", theme=gr.themes.Soft()) as demo:
        # Header
        gr.Markdown(
            """
            # 🐞 AI Code Debugger
            ### Fine-tuned AI model for debugging Python code
            
            **Instructions:**
            1. Paste your Python code in the input box below
            2. Click "🔧 Debug Code" to get suggestions and fixes
            3. The AI will analyze your code and provide improvements
            
            ---
            """
        )
        
        # Status indicator
        status_box = gr.Textbox(
            value="🔄 Initializing model...",
            label="📊 System Status",
            interactive=False,
            max_lines=2
        )
        
        # Main interface
        with gr.Row():
            with gr.Column(scale=1):
                code_input = gr.Code(
                    language="python",
                    lines=15,
                    value="""# Paste your Python code here
# Example:
def fibonacci(n):
    if n <= 1
        return n
    else:
        return fibonacci(n-1) + fibonacci(n-2)

print(fibonacci(10))""",
                    label="🔍 Input Code",
                    elem_id="code_input"
                )
                
                debug_btn = gr.Button(
                    "🔧 Debug Code",
                    variant="primary",
                    size="lg",
                    elem_id="debug_button"
                )
            
            with gr.Column(scale=1):
                output = gr.Code(
                    language="python",
                    lines=15,
                    label="✨ Debugged Code / Suggestions",
                    elem_id="code_output"
                )
        
        # Examples section
        gr.Markdown("### 📝 Example Issues to Try:")
        
        examples = [
            ["""def calculate_average(numbers):
    total = 0
    for num in numbers:
        total += num
    return total / len(numbers)

# This will cause division by zero error
result = calculate_average([])
print(result)"""],
            
            ["""import math

def find_roots(a, b, c):
    discriminant = b**2 - 4*a*c
    root1 = (-b + math.sqrt(discriminant)) / (2*a)
    root2 = (-b - math.sqrt(discriminant)) / (2*a)
    return root1, root2

# This might have issues with negative discriminant
print(find_roots(1, 2, 5))"""],
            
            ["""def process_list(items):
    result = []
    for i in range(len(items)):
        if items[i] > 0:
            result.append(items[i] * 2)
    return result

# Test the function
data = [1, -2, 3, -4, 5]
print(process_list(data))"""]
        ]
        
        gr.Examples(
            examples=examples,
            inputs=code_input,
            label="Click any example to load it:"
        )
        
        # Event handlers
        debug_btn.click(
            fn=debug_code,
            inputs=code_input,
            outputs=output
        )
        
        # Initialize on startup
        demo.load(
            fn=initialize_debugger,
            outputs=status_box
        )
        
        # Footer
        gr.Markdown(
            """
            ---
            
            **Tips for better results:**
            - Include complete, runnable code snippets
            - Add comments explaining what you expect the code to do
            - Include any error messages you're seeing
            
            **Model:** `Girinath11/aiml_code_debug_model` | **Framework:** Transformers + Gradio
            """
        )
    
    return demo

# Main execution
if __name__ == "__main__":
    # Create and launch the interface
    demo = create_interface()
    
    # Launch with appropriate settings for Hugging Face Spaces
    demo.launch(
        share=True)