Refactor init_leaderboard function to update data outputs to dataframe and improve dropdown UI

Refactor init_leaderboard function to update data outputs to dataframe and improve dropdown UI

Refactor init_leaderboard function to handle multiple subsets, improve column selection and hiding, and include Dataset Version in filter_columns

Refactor auto_eval_column_dict to use "str" instead of "markdown" for the "Model Name" column

Refactor auto_eval_column_dict to set "Dataset Version" column as non-nullable

Refactor dataset version column name to lowercase in auto_eval_column_dict

Refactor init_leaderboard function to handle multiple subsets and improve column selection and hiding

chore: Update app.py to include select_columns and hide_columns in init_leaderboard function

chore: Update app.py to include select_columns and hide_columns in init_leaderboard function

chore: Remove commented out code for model information in utils.py

chore: Update auto_eval_column_dict to use "Total" instead of "Overall" for the Overall column

chore: Update model name in auto_eval_column_dict

chore: Update search columns in app.py to include model and license names

chore: Update Tasks enum values in about.py

chore: Remove commented out code for model information in utils.py

chore: Remove commented out code for model information in utils.py

added leaderboard component to simplify main script

simplified the template

CPU, TOKEN, env variables (#4)

removed quantization to simplify

now with a functionning backend

fixs

updated leaderboard

Simplified leaderboard v0

simplified some parts of the code + updated requirements

add model architecture as column

Refactor 2 - added plotting back

refacto style + rate limit

refacto part 1