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| import gradio as gr | |
| import os | |
| from apscheduler.schedulers.background import BackgroundScheduler | |
| from huggingface_hub import HfApi | |
| from datetime import datetime, timedelta | |
| from src.assets.text_content import TITLE, INTRODUCTION_TEXT, CLEMSCORE_TEXT, MULTIMODAL_NAME, TEXT_NAME, HF_REPO | |
| from src.leaderboard_utils import query_search, get_github_data | |
| from src.plot_utils import split_models, plotly_plot, get_plot_df, update_open_models, update_closed_models | |
| from src.plot_utils import reset_show_all, reset_show_names, reset_show_legend, reset_mobile_view | |
| from src.version_utils import get_versions_data | |
| """ | |
| CONSTANTS | |
| """ | |
| # For restarting the gradio application every 24 Hrs | |
| TIME = 43200 # in seconds # Reload will not work locally - requires HFToken # The app launches locally as expected - only without the reload utility | |
| # For Leaderboard table | |
| dataframe_height = 800 # Height of the table in pixels # Set on average considering all possible devices | |
| """ | |
| AUTO RESTART HF SPACE | |
| """ | |
| HF_TOKEN = os.environ.get("H4_TOKEN", None) | |
| api = HfApi() | |
| def restart_space(): | |
| api.restart_space(repo_id=HF_REPO, token=HF_TOKEN) | |
| """ | |
| GITHUB UTILS | |
| """ | |
| github_data = get_github_data() | |
| multimodal_leaderboard = github_data["multimodal"][0] # Get multimodal leaderboard for its available latest version. | |
| # Show only First 4 columns for the leaderboards | |
| multimodal_leaderboard = multimodal_leaderboard.iloc[:, :4] | |
| print(f"Showing the following columns for the multimodal leaderboard: {multimodal_leaderboard.columns}") | |
| """ | |
| VERSIONS UTILS | |
| """ | |
| versions_data = get_versions_data() | |
| latest_version = versions_data['latest'] # Always show latest version in text-only benchmark | |
| last_updated_date = versions_data['date'] | |
| version_names = list(versions_data.keys()) | |
| version_names = [v for v in version_names if v.startswith("v")] # Remove "latest" and "date" keys | |
| global version_df | |
| version_df = versions_data[latest_version] | |
| def select_version_df(name): | |
| return versions_data[name] | |
| """ | |
| MAIN APPLICATION | |
| """ | |
| hf_app = gr.Blocks() | |
| with hf_app: | |
| gr.HTML(TITLE) | |
| gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text") | |
| with gr.Tabs(elem_classes="tab-buttons") as tabs: | |
| """ | |
| ####################### SECOND TAB - MULTIMODAL LEADERBOARD ####################### | |
| """ | |
| with gr.TabItem(MULTIMODAL_NAME, elem_id="mm-llm-benchmark-tab-table", id=1): | |
| with gr.Row(): | |
| mm_search_bar = gr.Textbox( | |
| placeholder=" 🔍 Search for models - separate multiple queries with `;` and press ENTER...", | |
| show_label=False, | |
| elem_id="search-bar", | |
| ) | |
| mm_leaderboard_table = gr.Dataframe( | |
| value=multimodal_leaderboard, | |
| elem_id="mm-leaderboard-table", | |
| interactive=False, | |
| visible=True, | |
| height=dataframe_height | |
| ) | |
| # Show information about the clemscore and last updated date below the table | |
| gr.HTML(CLEMSCORE_TEXT) | |
| gr.HTML(f"Last updated - {github_data['date']}") | |
| # Add a dummy leaderboard to handle search queries in leaderboard_table | |
| # This will show a temporary leaderboard based on the searched value | |
| mm_dummy_leaderboard_table = gr.Dataframe( | |
| value=multimodal_leaderboard, | |
| elem_id="mm-leaderboard-table-dummy", | |
| interactive=False, | |
| visible=False | |
| ) | |
| # Action after submitting a query to the search bar | |
| mm_search_bar.submit( | |
| query_search, | |
| [mm_dummy_leaderboard_table, mm_search_bar], | |
| mm_leaderboard_table, | |
| queue=True | |
| ) | |
| """ | |
| ####################### THIRD TAB - PLOTS - %PLAYED V/S QUALITY SCORE ####################### | |
| """ | |
| with gr.TabItem("📈 Plots", elem_id="plots", id=2): | |
| """ | |
| Accordion Groups to select individual models - Hidden by default | |
| """ | |
| with gr.Accordion("Select Open-weight Models 🌐", open=False): | |
| open_models_selection = update_open_models() | |
| clear_button_1 = gr.ClearButton(open_models_selection) | |
| with gr.Accordion("Select Commercial Models 💰", open=False): | |
| closed_models_selection = update_closed_models() | |
| clear_button_2 = gr.ClearButton(closed_models_selection) | |
| """ | |
| Checkbox group to control the layout of the plot | |
| """ | |
| 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 🏷️", | |
| 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, | |
| ) | |
| """ | |
| PLOT BLOCK | |
| """ | |
| # Create a dummy DataFrame as an input to the plotly_plot function. | |
| # Uses this data to plot the %played v/s quality score | |
| with gr.Row(): | |
| dummy_plot_df = gr.DataFrame( | |
| value=get_plot_df(), | |
| visible=False | |
| ) | |
| with gr.Row(): | |
| with gr.Column(): | |
| # Output block for the plot | |
| plot_output = gr.Plot() | |
| """ | |
| PLOT CHANGE ACTIONS | |
| Toggle 'Select All Models' based on the values in Accordion checkbox groups | |
| """ | |
| open_models_selection.change( | |
| plotly_plot, | |
| [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( | |
| plotly_plot, | |
| [dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names, show_legend, | |
| mobile_view], | |
| [plot_output], | |
| queue=True | |
| ) | |
| show_all.change( | |
| plotly_plot, | |
| [dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names, show_legend, | |
| mobile_view], | |
| [plot_output], | |
| queue=True | |
| ) | |
| show_names.change( | |
| plotly_plot, | |
| [dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names, show_legend, | |
| mobile_view], | |
| [plot_output], | |
| queue=True | |
| ) | |
| show_legend.change( | |
| plotly_plot, | |
| [dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names, show_legend, | |
| mobile_view], | |
| [plot_output], | |
| queue=True | |
| ) | |
| mobile_view.change( | |
| plotly_plot, | |
| [dummy_plot_df, open_models_selection, closed_models_selection, show_all, show_names, show_legend, | |
| mobile_view], | |
| [plot_output], | |
| queue=True | |
| ) | |
| open_models_selection.change( | |
| reset_show_all, | |
| outputs=[show_all], | |
| queue=True | |
| ) | |
| closed_models_selection.change( | |
| reset_show_all, | |
| outputs=[show_all], | |
| queue=True | |
| ) | |
| """ | |
| ####################### FOURTH TAB - VERSIONS AND DETAILS ####################### | |
| """ | |
| with gr.TabItem("🔄 Versions and Details", elem_id="versions-details-tab", id=3): | |
| with gr.Row(): | |
| version_select = gr.Dropdown( | |
| version_names, label="Select Version 🕹️", value=latest_version | |
| ) | |
| 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-3", | |
| ) | |
| prev_table = gr.Dataframe( | |
| value=version_df, | |
| elem_id="version-leaderboard-table", | |
| interactive=False, | |
| visible=True, | |
| height=dataframe_height | |
| ) | |
| dummy_prev_table = gr.Dataframe( | |
| value=version_df, | |
| elem_id="version-dummy-leaderboard-table", | |
| interactive=False, | |
| visible=False | |
| ) | |
| gr.HTML(CLEMSCORE_TEXT) | |
| gr.HTML(f"Last updated - {last_updated_date}") | |
| search_bar_prev.submit( | |
| query_search, | |
| [dummy_prev_table, search_bar_prev], | |
| prev_table, | |
| queue=True | |
| ) | |
| version_select.change( | |
| select_version_df, | |
| [version_select], | |
| prev_table, | |
| queue=True | |
| ) | |
| # Update Dummy Leaderboard, when changing versions | |
| version_select.change( | |
| select_version_df, | |
| [version_select], | |
| dummy_prev_table, | |
| queue=True | |
| ) | |
| hf_app.load() | |
| hf_app.queue() | |
| # Add scheduler to auto-restart the HF space at every TIME interval and update every component each time | |
| scheduler = BackgroundScheduler() | |
| scheduler.add_job(restart_space, 'interval', seconds=TIME) | |
| scheduler.start() | |
| # Log current start time and scheduled restart time | |
| print(datetime.now()) | |
| print(f"Scheduled restart at {datetime.now() + timedelta(seconds=TIME)}") | |
| hf_app.launch() | |