app.py

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",
    "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 value in (None, "")):
        raise ValueError('Please fill in all fields')
    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')

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 local 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),
        )
    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[0]),
            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(), visible=True),
        gr.update(visible=False),
        gr.update(choices=leaderboard_server.submission_ids),
    )


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 show_modal():
    return gr.update(visible=True)


def hide_modal():
    return gr.update(visible=False)


def on_application_load():
    leaderboard_server.save_pre_submit()
    leaderboard_server.update_leaderboard()
    return (
        gr.DataFrame(value=leaderboard_server.get_leaderboard(), visible=True),
        gr.update(choices=leaderboard_server.submission_ids)
    )


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:
    with gr.Row():
        with gr.Row():
            gr.Markdown(HEADER_MARKDOWN)

    with gr.Row():
        with gr.Tab('Leaderboard') as leaderboards_tab:
            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),
                        label="Category of benchmark",
                        interactive=True,
                    )
                
                with gr.Row():
                    results_table = gr.DataFrame(
                        leaderboard_server.get_leaderboard(),
                        interactive=False,
                        label=None,
                        visible=True,
                        datatype="markdown",
                        elem_classes="leaderboard-table",
                    )

        with gr.Tab('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.Tab('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", "ensamble"),
                    )
                    submission_inputs["parameters"] = gr.Number(
                        label='Parameters (B)',
                        value=0.1,
                        step=0.1,
                    )

                with gr.Row():
                    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,
                    ],
                )

                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])

main.launch()