app.py

import gradio as gr
import matplotlib as mpl

from data import data_df
from pitcher_overview import create_pitcher_overview
from pitcher_leaderboard import create_pitcher_leaderboard
from pitch_leaderboard import create_pitch_leaderboard
from daily_weekly_leaderboard import create_daily_weekly_leaderboard_app
from css import css

mpl.use('Agg')

latest_data_date = data_df['date'].max()
with open('updated.txt') as f:
  updated = f.read().strip()

limitations = '''**General Limitations**
- As new players make their debut, some names may be missing or not translated/transliterated correctly.
- IP is overestimated
'''

with open('acknowledgements.md', 'r') as f:
  acknowledgements = f.read()

if __name__ == '__main__':
  with gr.Blocks(css=css) as app:
    with gr.Tab('Pitcher Overview'):
      create_pitcher_overview(data_df)
    with gr.Tab('Pitcher Leaderboard'):
      create_pitcher_leaderboard()
    with gr.Tab('Pitch Leaderboard'):
      create_pitch_leaderboard()
    with gr.Tab('Daily/Weekly Leaderboard'):
      create_daily_weekly_leaderboard_app(data_df)
    with gr.Tab('Acknowledgements'):
      gr.Markdown(acknowledgements)

    gr.Markdown('---')
    gr.Markdown(f'**Data up to:** {latest_data_date}')
    gr.Markdown(f'**Last updated:** {updated}')
    gr.Markdown(limitations)
  app.launch()