utils/preprocessing.py

"""
Curriculum Alignment Inference Application
Hugging Face Space for predicting alignment between CLO and Sub-CLO.
"""

import gradio as gr
from ui.tabs import create_all_tabs


def create_app() -> gr.Blocks:
    """
    Create the main Gradio application.
    
    Returns:
        Configured Gradio Blocks application
    """
    with gr.Blocks(
        title="Curriculum Alignment Inference",
        theme=gr.themes.Soft()
    ) as app:
        # Header
        gr.Markdown("# 🎓 Curriculum Alignment Inference")
        gr.Markdown(
            "Predict alignment between Course Learning Outcomes (CLO) and Sub-CLO "
            "using different machine learning models."
        )
        
        # Load description from assets if available
        try:
            with open("assets/description.md", "r", encoding="utf-8") as f:
                description = f.read()
                if description.strip():
                    gr.Markdown(description)
        except FileNotFoundError:
            pass
        
        gr.Markdown("---")
        
        # Create all model tabs
        with gr.Tabs():
            create_all_tabs()
        
        # Footer
        gr.Markdown("---")
        gr.Markdown(
            "**Note:** Alignment is determined by:\n"
            "- Same Bloom domain (Cognitive/Affective/Psychomotor)\n"
            "- Sub-CLO level ≤ CLO level"
        )
    
    return app


# Create and launch the app
app = create_app()

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