import html import json import pandas as pd import gradio as gr # Function to create HTML tooltips def create_html_with_tooltip(id, base_url): return f'{id}' # Load prompts from JSON with open("prompt/prompt.json", "r") as file: json_data = file.read() prompts = json.loads(json_data) # Prepare leaderboard data winning_rate = [prompt['metric']['winning_number'] for prompt in prompts] winning_rate = [num / sum(winning_rate) for num in winning_rate] data = { 'Rank': [i+1 for i in range(len(prompts))], 'Methods': [create_html_with_tooltip(prompt['id'], prompt['url']) for prompt in prompts], 'Rouge Score': [prompt['metric']['Rouge'] for prompt in prompts], 'Winning Rate': winning_rate, 'Authors': [prompt['author'] for prompt in prompts], } # Create DataFrame and sort by Rouge Score df = pd.DataFrame(data) df.sort_values(by='Rouge Score', ascending=False, inplace=True, ignore_index=True) df['Rank'] = range(1, len(df) + 1) # Assign medals for top 3 authors medals = ['🏅', '🥈', '🥉'] for i in range(3): df.loc[i, 'Authors'] = f"{medals[i]} {df.loc[i, 'Authors']}" # Function to update the leaderboard def update_leaderboard(sort_by): sorted_df = df.sort_values(by=sort_by, ascending=False, ignore_index=True) sorted_df['Rank'] = range(1, len(sorted_df) + 1) # Convert DataFrame to HTML with clickable headers for sorting table_html = sorted_df.to_html(index=False, escape=False) # Add sorting links to column headers for column in sorted_df.columns: table_html = table_html.replace(f'