streamlit_app.py

"""
Kaggle Intelligence Harvester - Streamlit Application
Main entry point for the hyperparameter extraction and validation system.
"""

import streamlit as st
import sys
from pathlib import Path

# Add project root to path
sys.path.insert(0, str(Path(__file__).parent))

from config import APP_CONFIG, STYLE_CONFIG
from components import render_header, render_footer, render_sidebar
from pages import (
    render_dashboard,
    render_parser,
    render_knowledge_base,
    render_board_validator,
    render_conflict_resolver,
    render_training,
    render_settings
)

# Page configuration
st.set_page_config(
    page_title="Kaggle Intelligence Harvester",
    page_icon="🧠",
    layout="wide",
    initial_sidebar_state="expanded"
)

# Apply custom styles
st.markdown(STYLE_CONFIG, unsafe_allow_html=True)

def main():
    """Main application entry point."""
    
    # Render header with branding
    render_header()
    
    # Render sidebar navigation
    page = render_sidebar()
    
    # Route to appropriate page
    if page == "Dashboard":
        render_dashboard()
    elif page == "Notebook Parser":
        render_parser()
    elif page == "Knowledge Base":
        render_knowledge_base()
    elif page == "Board Validator":
        render_board_validator()
    elif page == "Conflict Resolver":
        render_conflict_resolver()
    elif page == "Training & Submit":
        render_training()
    elif page == "Settings":
        render_settings()
    
    # Render footer
    render_footer()

if __name__ == "__main__":
    main()