Fix variable naming in simulation initialization for DraftKings and FanDuel

Implement comprehensive contest simulation functionality with dynamic sport, site, and slate selection

Enhance UI/UX with custom Streamlit tab styling and reorganize Data Export tab layout

Handle initialization of baselines in app.py with error handling. Added a try-except block to fallback to 'NBA' data if 'NFL' initialization fails, improving robustness of the simulation setup.

Refactor data loading in app.py to improve clarity and maintainability. Renamed variable from 'raw_display' to 'load_display' for better context. Streamlined filtering for DraftKings and FanDuel sites by reusing the loaded DataFrame. Removed redundant database queries to enhance performance.

Refactor app.py to streamline database connections and enhance data retrieval methods. Removed hardcoded credentials and replaced them with environment variables. Updated functions to include a 'split' parameter for limiting data fetched from MongoDB. Added auxiliary seed frame functions for both DraftKings and FanDuel. Improved simulation logic for contest entries and ownership calculations. Cleaned up unused variables and optimized data handling for better performance.

Create app.py