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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 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.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: | |
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(), | |
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", "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() | |