import gradio as gr from src.assets.text_content import TITLE, INTRODUCTION_TEXT, CLEMSCORE_TEXT from src.leaderboard_utils import filter_search, get_github_data from src.plot_utils import split_models, compare_plots # For Leaderboards dataframe_height = 800 # Height of the table in pixels # Get CSV data global primary_leaderboard_df, version_dfs, version_names primary_leaderboard_df, version_dfs, version_names, date = get_github_data() global prev_df prev_df = version_dfs[0] def select_prev_df(name): ind = version_names.index(name) prev_df = version_dfs[ind] return prev_df # For Plots global plot_df, OPEN_MODELS, CLOSED_MODELS plot_df = primary_leaderboard_df[0] MODELS = list(plot_df[list(plot_df.columns)[0]].unique()) OPEN_MODELS, CLOSED_MODELS = split_models(MODELS) # MAIN APPLICATION s main_app = gr.Blocks() with main_app: gr.HTML(TITLE) gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text") with gr.Tabs(elem_classes="tab-buttons") as tabs: with gr.TabItem("đŸĨ‡ CLEM Leaderboard", elem_id="llm-benchmark-tab-table", id=0): with gr.Row(): search_bar = gr.Textbox( placeholder=" 🔍 Search for models - separate multiple queries with `;` and press ENTER...", show_label=False, elem_id="search-bar", ) leaderboard_table = gr.Dataframe( value=primary_leaderboard_df[0], elem_id="leaderboard-table", interactive=False, visible=True, height=dataframe_height ) gr.HTML(CLEMSCORE_TEXT) gr.HTML(f"Last updated - {date}") # Add a dummy leaderboard to handle search queries from the primary_leaderboard_df and not update primary_leaderboard_df dummy_leaderboard_table = gr.Dataframe( value=primary_leaderboard_df[0], elem_id="leaderboard-table", interactive=False, visible=False ) search_bar.submit( filter_search, [dummy_leaderboard_table, search_bar], leaderboard_table, queue=True ) with gr.TabItem("📈 Plot", id=3): with gr.Row(): open_models_selection = gr.CheckboxGroup( OPEN_MODELS, label="Open-weight Models 🌐", value=[], elem_id="value-select", interactive=True, ) with gr.Row(): closed_models_selection = gr.CheckboxGroup( CLOSED_MODELS, label="Closed-weight Models đŸ’ŧ", value=[], elem_id="value-select-2", interactive=True, ) with gr.Row(): with gr.Column(): show_all = gr.CheckboxGroup( ["Select All Models"], label="Show plot for all models 🤖", value=[], elem_id="value-select-3", interactive=True, ) with gr.Column(): show_names = gr.CheckboxGroup( ["Show Names"], label ="Show names of models on the plot 🏷ī¸", value=[], elem_id="value-select-4", interactive=True, ) with gr.Column(): show_legend = gr.CheckboxGroup( ["Show Legend"], label ="Show legend on the plot 💡", value=[], elem_id="value-select-5", interactive=True, ) with gr.Column(): mobile_view = gr.CheckboxGroup( ["Mobile View"], label ="View plot on smaller screens 📱", value=[], elem_id="value-select-6", interactive=True, ) with gr.Row(): dummy_plot_df = gr.DataFrame( value=plot_df, visible=False ) with gr.Row(): with gr.Column(): # Output block for the plot plot_output = gr.Plot() open_models_selection.change( compare_plots, [dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names, show_legend, mobile_view], plot_output, queue=True ) closed_models_selection.change( compare_plots, [dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names, show_legend, mobile_view], plot_output, queue=True ) show_all.change( compare_plots, [dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names, show_legend, mobile_view], plot_output, queue=True ) show_names.change( compare_plots, [dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names, show_legend, mobile_view], plot_output, queue=True ) show_legend.change( compare_plots, [dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names, show_legend, mobile_view], plot_output, queue=True ) mobile_view.change( compare_plots, [dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names, show_legend, mobile_view], plot_output, queue=True ) with gr.TabItem("🔄 Versions and Details", elem_id="details", id=2): with gr.Row(): version_select = gr.Dropdown( version_names, label="Select Version 🕹ī¸", value=version_names[0] ) with gr.Row(): search_bar_prev = gr.Textbox( placeholder=" 🔍 Search for models - separate multiple queries with `;` and press ENTER...", show_label=False, elem_id="search-bar-2", ) prev_table = gr.Dataframe( value=prev_df, elem_id="leaderboard-table", interactive=False, visible=True, height=dataframe_height ) dummy_prev_table = gr.Dataframe( value=prev_df, elem_id="leaderboard-table", interactive=False, visible=False ) search_bar_prev.submit( filter_search, [dummy_prev_table, search_bar_prev], prev_table, queue=True ) version_select.change( select_prev_df, [version_select], prev_table, queue=True ) main_app.load() main_app.queue() main_app.launch()