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from functools import partial |
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import gradio as gr |
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from src.constants import SUBTASKS, TASKS |
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from src.details import update_subtasks_component, update_load_details_component, load_details_dataframes, \ |
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display_details, update_sample_idx_component, clear_details, update_task_description_component |
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from src.results import update_load_results_component, \ |
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load_results_dataframes, display_results, update_tasks_component, clear_results, \ |
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sort_result_paths_per_model, fetch_result_paths |
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result_paths_per_model = sort_result_paths_per_model(fetch_result_paths()) |
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load_results_dataframes = partial(load_results_dataframes, result_paths_per_model=result_paths_per_model) |
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with gr.Blocks(fill_height=True, fill_width=True) as demo: |
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gr.HTML("<h1 style='text-align: center;'>Compare Results of the 🤗 Open LLM Leaderboard</h1>") |
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gr.HTML("<h3 style='text-align: center;'>Select 2 models to load and compare their results</h3>") |
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gr.HTML("<p style='text-align: center; color:orange;'>⚠ This demo is a beta version and may contain bugs, performance issues, incomplete features, or unexpected behavior. We appreciate your understanding and welcome any feedback through the Community tab to help improve the final product.</p>") |
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gr.Markdown("Compare Results of the 🤗 [Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard-old/open_llm_leaderboard). " |
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"Check out the [documentation](https://huggingface.co/docs/leaderboards/open_llm_leaderboard/about) 📄 to find explanations on the evaluations used, their configuration parameters and details on the input/outputs for the models." |
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) |
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with gr.Row(): |
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with gr.Column(): |
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model_id_1 = gr.Dropdown(choices=list(result_paths_per_model.keys()), label="Models") |
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dataframe_1 = gr.Dataframe(visible=False) |
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with gr.Column(): |
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model_id_2 = gr.Dropdown(choices=list(result_paths_per_model.keys()), label="Models") |
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dataframe_2 = gr.Dataframe(visible=False) |
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with gr.Row(): |
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with gr.Tab("Results"): |
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load_results_btn = gr.Button("Load", interactive=False) |
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clear_results_btn = gr.Button("Clear") |
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results_task = gr.Radio( |
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["All"] + list(TASKS.values()), |
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label="Tasks", |
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info="Evaluation tasks to be displayed", |
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value="All", |
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visible=False, |
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) |
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results_task_description = gr.Textbox( |
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label="Task Description", |
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lines=3, |
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visible=False, |
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) |
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results = gr.HTML() |
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with gr.Tab("Configs"): |
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load_configs_btn = gr.Button("Load", interactive=False) |
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clear_configs_btn = gr.Button("Clear") |
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configs_task = gr.Radio( |
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["All"] + list(TASKS.values()), |
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label="Tasks", |
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info="Evaluation tasks to be displayed", |
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value="All", |
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visible=False, |
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) |
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configs_task_description = gr.Textbox( |
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label="Task Description", |
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lines=3, |
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visible=False, |
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) |
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configs = gr.HTML() |
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with gr.Tab("Details"): |
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details_task = gr.Radio( |
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list(value for value in TASKS.values() if value[1] != "leaderboard_gpqa"), |
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label="Tasks", |
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info="Evaluation tasks to be loaded", |
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interactive=True, |
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) |
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details_task_description = gr.Textbox( |
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label="Task Description", |
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lines=3, |
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) |
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subtask = gr.Radio( |
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SUBTASKS.get(details_task.value), |
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label="Subtasks", |
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info="Evaluation subtasks to be loaded (choose one of the Tasks above)", |
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) |
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load_details_btn = gr.Button("Load Details", interactive=False) |
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clear_details_btn = gr.Button("Clear Details") |
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sample_idx = gr.Number( |
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label="Sample Index", |
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info="Index of the sample to be displayed", |
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value=0, |
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minimum=0, |
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visible=False |
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) |
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details = gr.HTML() |
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details_dataframe_1 = gr.Dataframe(visible=False) |
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details_dataframe_2 = gr.Dataframe(visible=False) |
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details_dataframe = gr.DataFrame(visible=False) |
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gr.on( |
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triggers=[model_id_1.input, model_id_2.input], |
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fn=update_load_results_component, |
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outputs=[load_results_btn, load_configs_btn], |
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) |
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gr.on( |
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triggers=[load_results_btn.click, load_configs_btn.click], |
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fn=load_results_dataframes, |
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inputs=[model_id_1, model_id_2], |
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outputs=[dataframe_1, dataframe_2], |
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).then( |
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fn=update_tasks_component, |
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outputs=[results_task, configs_task], |
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) |
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results_task.input(fn=lambda task: task, inputs=results_task, outputs=configs_task) |
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configs_task.input(fn=lambda task: task, inputs=configs_task, outputs=results_task) |
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results_task.change( |
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fn=update_task_description_component, |
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inputs=results_task, |
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outputs=results_task_description, |
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).then( |
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fn=update_task_description_component, |
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inputs=results_task, |
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outputs=configs_task_description, |
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) |
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gr.on( |
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triggers=[dataframe_1.change, dataframe_2.change, results_task.change], |
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fn=display_results, |
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inputs=[results_task, dataframe_1, dataframe_2], |
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outputs=[results, configs], |
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) |
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gr.on( |
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triggers=[clear_results_btn.click, clear_configs_btn.click], |
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fn=clear_results, |
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outputs=[model_id_1, model_id_2, dataframe_1, dataframe_2, load_results_btn, load_configs_btn, results_task, configs_task], |
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) |
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details_task.change( |
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fn=update_task_description_component, |
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inputs=details_task, |
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outputs=details_task_description, |
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).then( |
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fn=update_subtasks_component, |
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inputs=details_task, |
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outputs=subtask, |
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) |
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gr.on( |
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triggers=[model_id_1.input, model_id_2.input, subtask.input, details_task.input], |
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fn=update_load_details_component, |
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inputs=[model_id_1, model_id_2, subtask], |
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outputs=load_details_btn, |
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) |
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load_details_btn.click( |
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fn=load_details_dataframes, |
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inputs=[subtask, model_id_1, model_id_2], |
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outputs=[details_dataframe_1, details_dataframe_2], |
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).then( |
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fn=update_sample_idx_component, |
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inputs=[details_dataframe_1, details_dataframe_2], |
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outputs=sample_idx, |
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) |
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gr.on( |
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triggers=[details_dataframe_1.change, details_dataframe_2.change, sample_idx.change], |
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fn=display_details, |
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inputs=[sample_idx, details_dataframe_1, details_dataframe_2], |
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outputs=details, |
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) |
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clear_details_btn.click( |
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fn=clear_details, |
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outputs=[model_id_1, model_id_2, details_dataframe_1, details_dataframe_2, details_task, subtask, load_details_btn, sample_idx], |
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) |
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demo.launch() |
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