import pandas as pd import gradio as gr from ui.leaderboard import render_leader_board, render_info_html, render_citation from ui.evaluation import render_eval_info from ui.submission import render_submission_page import os from utils import load_leaderboard, custom_css from huggingface_hub import snapshot_download import gradio as gr import os import json REPO_ID = os.getenv('REPO_ID') DB_ERR_PATH = './data/data/eers.csv' DB_ACC_PATH = './data/data/accuracy.csv' DB_F1_PATH = './data/data/f1.csv' CITATIONS_PATH = f'./data/data/model_citations.json' LICENSES_PATH = f'./data/data/model_licenses.json' PARAMS_PATH = f'./data/data/model_parameter_count.json' if not os.path.exists('./data/data'): snapshot_download(repo_id=REPO_ID, repo_type="dataset", local_dir='./data/data') with open(CITATIONS_PATH, 'r') as f: model_citations = json.load(f) with open(LICENSES_PATH, 'r') as f: model_licenses = json.load(f) with open(PARAMS_PATH, 'r') as f: model_params = json.load(f) # Load leaderboard data leaderboard_df_err = load_leaderboard(DB_ERR_PATH) leaderboard_df_f1 = load_leaderboard(DB_F1_PATH) leaderboard_df_acc = load_leaderboard(DB_ACC_PATH) def create_ui(): # with gr.Blocks(theme=gr.themes.Soft(text_size=gr.themes.sizes.text_md)) as demo: with gr.Blocks(theme=gr.themes.Soft(text_size=gr.themes.sizes.text_md)) as demo: gr.Image(f'./data/data/df_arena.jpg', interactive=False, show_fullscreen_button=False, show_share_button=False, show_label=False) with gr.Tabs(): with gr.Tab("🏆 Leaderboard"): with gr.Column(): render_info_html() render_leader_board(leaderboard_df_err, model_citations, model_licenses, model_params, True) gr.HTML("