Spaces:
Running
Running
| import os | |
| import regex as re | |
| import gradio as gr | |
| import pandas as pd | |
| from gradio.themes.utils.sizes import text_md | |
| from gradio_modal import Modal | |
| from content import ( | |
| HEADER_MARKDOWN, | |
| LEADERBOARD_TAB_TITLE_MARKDOWN, | |
| SUBMISSION_TAB_TITLE_MARKDOWN, | |
| MODAL_SUBMIT_MARKDOWN, | |
| SUBMISSION_DETAILS_MARKDOWN, | |
| RANKING_AFTER_SUBMISSION_MARKDOWN, | |
| MORE_DETAILS_MARKDOWN, | |
| ) | |
| from server import LeaderboardServer | |
| leaderboard_server = LeaderboardServer() | |
| SUBMISSION_INPUTS = dict.fromkeys(( | |
| "team_name", | |
| "model_name", | |
| "model_type", | |
| "parameters", | |
| "input_length", | |
| "precision", | |
| "description", | |
| "link_to_model", | |
| "submission_file", | |
| )).keys() | |
| def on_submit_pressed(): | |
| return gr.update(value='Processing submission...', interactive=False) | |
| def validate_submission_inputs(**inputs): | |
| if any(key for key, value in inputs.items() if key != "description" and value in (None, "")): | |
| raise ValueError('Please fill in all fields (only the description field is optional)') | |
| if not os.path.exists(inputs["submission_file"]): | |
| raise ValueError('File does not exist') | |
| if not (inputs["link_to_model"].startswith("http://") or inputs["link_to_model"].startswith("https://")): | |
| raise ValueError('Link does not starts with "http://" or "https://"') | |
| if not inputs["parameters"] > 0: | |
| raise ValueError('Attribute `Parameters (B)` should be greater than zero') | |
| if not (inputs["input_length"] > 0 and inputs["input_length"] == int(inputs["input_length"])): | |
| raise ValueError('Attribute `Input length (# tokens)` should be greater than zero and integer type') | |
| def process_submission(*inputs): | |
| try: | |
| inputs = dict(zip(SUBMISSION_INPUTS, inputs)) | |
| for key in inputs: | |
| if key in ("team_name", "model_name"): | |
| inputs[key] = re.sub(r"""\s+""", " ", inputs[key]).strip() | |
| elif key in ("description", "link_to_model"): | |
| inputs[key] = inputs[key].strip() | |
| validate_submission_inputs(**inputs) | |
| metadata = SUBMISSION_INPUTS - {"submission_file"} | |
| metadata = {key: inputs[key] for key in metadata} | |
| gr.Info('Submission valid, running tournament...') | |
| leaderboard_server.prepare_model_for_submission(inputs["submission_file"], metadata) | |
| except ValueError as err: | |
| gr.Warning(str(err)) | |
| return ( | |
| gr.update(value='Pre-submit model', visible=True, interactive=True), | |
| gr.update(visible=False), | |
| gr.update(visible=False), | |
| gr.update(visible=False), | |
| gr.update(visible=False), | |
| gr.update(visible=False), | |
| ) | |
| except (TypeError, RuntimeError) as err: | |
| gr.Warning(str(err)) | |
| return ( | |
| gr.update(value='Pre-submit model', visible=True, interactive=True), | |
| gr.update(visible=False), | |
| gr.update(visible=False), | |
| gr.update(visible=False), | |
| gr.update(visible=False), | |
| gr.update(visible=False), | |
| ) | |
| return ( | |
| gr.update(visible=False), | |
| gr.update(visible=True), | |
| gr.update(interactive=True, visible=True), | |
| gr.update(interactive=True, visible=True), | |
| gr.update(visible=True), | |
| gr.update( | |
| value=leaderboard_server.get_leaderboard(leaderboard_server.pre_submit.tournament_results), | |
| visible=True, | |
| datatype="markdown", | |
| elem_classes="leaderboard-table", | |
| ), | |
| ) | |
| def submit_results(): | |
| leaderboard_server.save_pre_submit() | |
| leaderboard_server.update_leaderboard() | |
| gr.Info('Submission successful!') | |
| return ( | |
| gr.update(value='Pre-submit model', visible=True, interactive=True), | |
| gr.update(visible=False), | |
| gr.update(visible=False), | |
| gr.update(visible=False), | |
| gr.update(visible=False), | |
| gr.update(visible=False), | |
| gr.DataFrame(value=leaderboard_server.get_leaderboard(category=leaderboard_server.tasks_category_overall), visible=True), | |
| gr.update(visible=False), | |
| gr.update(choices=leaderboard_server.submission_ids), | |
| gr.update(value=leaderboard_server.tasks_category_overall), | |
| ) | |
| def erase_pre_submit(): | |
| leaderboard_server.pre_submit = None | |
| return ( | |
| gr.update(value='Pre-submit model', visible=True, interactive=True), | |
| gr.update(visible=False), | |
| gr.update(visible=False), | |
| gr.update(visible=False), | |
| gr.update(visible=False), | |
| gr.update(visible=False), | |
| gr.update(visible=False), | |
| ) | |
| def fetch_model_detail(submission_id): | |
| metadata = leaderboard_server.get_model_detail(submission_id) | |
| return ( | |
| gr.update(value=metadata['description'], visible=True), | |
| gr.update(value=metadata['link_to_model'], visible=True) | |
| ) | |
| def change_leaderboard_category(category): | |
| return gr.update( | |
| value=leaderboard_server.get_leaderboard(category=category), | |
| visible=True, | |
| datatype="markdown", | |
| ) | |
| def show_modal(): | |
| return gr.update(visible=True) | |
| def hide_modal(): | |
| return gr.update(visible=False) | |
| def on_application_load(): | |
| leaderboard_server.update_leaderboard() | |
| return ( | |
| gr.DataFrame(value=leaderboard_server.get_leaderboard(category=leaderboard_server.tasks_category_overall), visible=True), | |
| gr.update(choices=leaderboard_server.submission_ids), | |
| gr.update(value=leaderboard_server.tasks_category_overall), | |
| ) | |
| custom_css = """ | |
| footer {visibility: hidden} | |
| .leaderboard-table tr:first-child th { | |
| background-color: var(--table-even-background-fill); | |
| } | |
| .leaderboard-table th:first-child, .leaderboard-table td:first-child { | |
| position: sticky; | |
| left: 0; | |
| z-index: 1; | |
| background-color: inherit; | |
| } | |
| .leaderboard-table th:nth-child(2), .leaderboard-table td:nth-child(2) { | |
| position: sticky; | |
| left: var(--cell-width-0); | |
| z-index: 1; | |
| background-color: inherit; | |
| } | |
| .leaderboard-table th:nth-child(3), .leaderboard-table td:nth-child(3) { | |
| position: sticky; | |
| left: calc(var(--cell-width-0) + var(--cell-width-1)); | |
| z-index: 1; | |
| background-color: inherit; | |
| } | |
| .leaderboard-table th:nth-child(4), .leaderboard-table td:nth-child(4) { | |
| position: sticky; | |
| left: calc(var(--cell-width-0) + var(--cell-width-1) + var(--cell-width-2)); | |
| z-index: 1; | |
| background-color: inherit; | |
| } | |
| .leaderboard-table th:nth-child(5), .leaderboard-table td:nth-child(5) { | |
| position: sticky; | |
| left: calc(var(--cell-width-0) + var(--cell-width-1) + var(--cell-width-2) + var(--cell-width-3)); | |
| z-index: 1; | |
| background-color: inherit; | |
| } | |
| .leaderboard-table th:nth-child(5)::after, .leaderboard-table td:nth-child(5)::after { | |
| box-shadow: inset 5px 0px 4px -4px var(--border-color-primary); | |
| position: absolute; | |
| top: 0; | |
| right: 0; | |
| bottom: -1px; | |
| content: ""; | |
| width: 30px; | |
| transform: translateX(100%); | |
| } | |
| """ | |
| with gr.Blocks(theme=gr.themes.Soft(text_size=text_md), css=custom_css) as main: | |
| gr.Markdown(HEADER_MARKDOWN) | |
| with gr.Tabs(): | |
| with gr.TabItem('Leaderboard'): | |
| with gr.Column(): | |
| gr.Markdown(LEADERBOARD_TAB_TITLE_MARKDOWN) | |
| with gr.Row(): | |
| category_of_tasks = gr.Dropdown( | |
| choices=[leaderboard_server.tasks_category_overall] + list(leaderboard_server.tasks_categories), | |
| value=leaderboard_server.tasks_category_overall, | |
| label="Category of benchmarks", | |
| interactive=True, | |
| ) | |
| with gr.Row(): | |
| results_table = gr.DataFrame( | |
| leaderboard_server.get_leaderboard(category=leaderboard_server.tasks_category_overall), | |
| interactive=False, | |
| label=None, | |
| visible=True, | |
| datatype="markdown", | |
| elem_classes="leaderboard-table", | |
| ) | |
| category_of_tasks.change( | |
| fn=change_leaderboard_category, | |
| inputs=category_of_tasks, | |
| outputs=results_table, | |
| ) | |
| with gr.TabItem('Model details'): | |
| gr.Markdown(MORE_DETAILS_MARKDOWN) | |
| detail_dropdown = gr.Dropdown( | |
| choices=leaderboard_server.submission_ids, # TODO: team_name/model_name | |
| label="Select model", | |
| interactive=True, | |
| ) | |
| with gr.Row(): | |
| model_description = gr.Text(value='', label='Model description', visible=False, interactive=False) | |
| model_url = gr.Text(value='', label='Model url', visible=False, interactive=False) | |
| detail_dropdown.change( | |
| fn=fetch_model_detail, | |
| inputs=[detail_dropdown], | |
| outputs=[model_description, model_url], | |
| ) | |
| with gr.TabItem('Submission'): | |
| with gr.Column(): | |
| gr.Markdown(SUBMISSION_TAB_TITLE_MARKDOWN) | |
| submission_inputs = dict.fromkeys(SUBMISSION_INPUTS) | |
| with gr.Row(): | |
| submission_inputs["team_name"] = gr.Textbox(label='Team name', type='text') | |
| submission_inputs["model_name"] = gr.Textbox(label='Model name', type='text') | |
| submission_inputs["model_type"] = gr.Dropdown( | |
| label="Model type", | |
| choices=("chat", "pretrained", "ensemble"), | |
| ) | |
| submission_inputs["parameters"] = gr.Number( | |
| label='Parameters (B)', | |
| value=0.01, | |
| step=0.01, | |
| ) | |
| with gr.Row(): | |
| submission_inputs["input_length"] = gr.Number( | |
| label='Input length (# tokens)', | |
| value=0, | |
| step=1, | |
| ) | |
| submission_inputs["precision"] = gr.Dropdown( | |
| label="Precision", | |
| choices=("float32", "bfloat32", "float16", "bfloat16", "8bit", "4bit"), | |
| ) | |
| submission_inputs["description"] = gr.Textbox(label='Description', type='text') | |
| submission_inputs["link_to_model"] = gr.Textbox(label='Link to model', type='text') | |
| submission_inputs["submission_file"] = gr.File(label='Upload your results', type='filepath') | |
| pre_submission_btn = gr.Button(value='Pre-submit model', interactive=True) | |
| submit_prompt = gr.Markdown( | |
| SUBMISSION_DETAILS_MARKDOWN, | |
| visible=False | |
| ) | |
| pre_submit_info = gr.Markdown( | |
| RANKING_AFTER_SUBMISSION_MARKDOWN, | |
| visible=False | |
| ) | |
| pre_submit_table = gr.DataFrame(pd.DataFrame(), interactive=False, label=None, visible=False) | |
| submission_btn_yes = gr.Button(value='Submit model', interactive=False, visible=False) | |
| submission_btn_no = gr.Button(value='Reverse process', interactive=False, visible=False) | |
| with Modal(visible=False) as modal_submit: | |
| gr.Markdown(MODAL_SUBMIT_MARKDOWN) | |
| modal_submit_yes = gr.Button("Yes", interactive=True) | |
| modal_submit_no = gr.Button("No", interactive=True) | |
| pre_submission_btn.click( | |
| fn=on_submit_pressed, | |
| concurrency_limit=1, | |
| outputs=[pre_submission_btn], | |
| ).then( | |
| fn=process_submission, | |
| inputs=list(submission_inputs.values()), | |
| outputs=[ | |
| pre_submission_btn, | |
| submit_prompt, | |
| submission_btn_yes, | |
| submission_btn_no, | |
| pre_submit_info, | |
| pre_submit_table, | |
| ], | |
| ) | |
| submission_btn_yes.click( | |
| fn=show_modal, | |
| outputs=[modal_submit] | |
| ) | |
| modal_submit_yes.click( | |
| fn=submit_results, | |
| outputs=[ | |
| pre_submission_btn, | |
| submission_btn_yes, | |
| submission_btn_no, | |
| submit_prompt, | |
| pre_submit_info, | |
| pre_submit_table, | |
| results_table, | |
| modal_submit, | |
| detail_dropdown, | |
| category_of_tasks, | |
| ], | |
| ) | |
| modal_submit_no.click( | |
| fn=hide_modal, | |
| outputs=[modal_submit] | |
| ) | |
| submission_btn_no.click( | |
| fn=erase_pre_submit, | |
| outputs=[ | |
| pre_submission_btn, | |
| submission_btn_yes, | |
| submission_btn_no, | |
| submit_prompt, | |
| pre_submit_info, | |
| pre_submit_table, | |
| ], | |
| ) | |
| main.load( | |
| on_application_load, | |
| inputs=None, | |
| outputs=[ | |
| results_table, | |
| detail_dropdown, | |
| category_of_tasks, | |
| ] | |
| ) | |
| main.launch() | |