Refactor app.py to reintegrate MongoDB data retrieval for Game_Betting_Model, restoring percentage conversions for ML_Value and Spread_Value while commenting out Google Sheets API calls for improved data processing.

Remove unnecessary percentage conversions for ML_Value and Spread_Value in app.py to streamline data processing for betting models.

Enhance data processing in app.py by converting percentage strings to float values for Win Percentage, Cover Spread Percentage, ML_Value, and Spread_Value. This ensures accurate calculations for betting models.

Refactor app.py to replace MongoDB data retrieval with Google Sheets API calls for the Game_Betting_Model. Commented out legacy MongoDB code and updated data processing to align with the new data source.

Update MongoDB database name in app.py from NHL_Database to MLB_Database to reflect the new data focus.

Refactor data processing in app.py to streamline the initialization of pitcher and hitter statistics. Updated variable names and removed unnecessary return values for improved clarity and efficiency.

Refactor app.py to integrate MongoDB for data storage and retrieval, replacing Google Sheets API calls. Added caching for connection initialization and improved tab styling in Streamlit.

Initial commit

initial commit