app.py

import gradio as gr
from gradio_leaderboard import Leaderboard, ColumnFilter, SelectColumns
import pandas as pd
from apscheduler.schedulers.background import BackgroundScheduler
from huggingface_hub import snapshot_download

from src.about import (
    CITATION_BUTTON_LABEL,
    CITATION_BUTTON_TEXT,
    EVALUATION_QUEUE_TEXT,
    INTRODUCTION_TEXT,
    LLM_BENCHMARKS_TEXT,
    SUBMIT_FORM,
    TITLE,
)
from src.display.css_html_js import custom_css
from src.display.utils import (
    BENCHMARK_COLS,
    COLS,
    EVAL_COLS,
    EVAL_TYPES,
    AutoEvalColumn,
    ModelType,
    fields,
    WeightType,
    Precision
)
from src.envs import API, REPO_ID


def restart_space():
    API.restart_space(repo_id=REPO_ID)


LEADERBOARD_DF = pd.read_csv("results.csv")

demo = gr.Blocks(css=custom_css)
with demo:
    gr.HTML(TITLE)
    gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")

    with gr.Tabs(elem_classes="tab-buttons") as tabs:
        with gr.TabItem("🏅 MVRB", elem_id="llm-benchmark-tab-table", id=0):
            Leaderboard(
                value=LEADERBOARD_DF,
                datatype=[c.type for c in fields(AutoEvalColumn)],
                select_columns=SelectColumns(
                    default_selection=[c.name for c in fields(AutoEvalColumn) if c.displayed_by_default],
                    cant_deselect=[c.name for c in fields(AutoEvalColumn) if c.never_hidden],
                    label="Select Columns to Display:",
                ),
                search_columns=[AutoEvalColumn.model.name],
                hide_columns=[c.name for c in fields(AutoEvalColumn) if c.hidden],
                filter_columns=[
                    ColumnFilter("#Params (B)", type="slider", default=[0.428, 8.0], label="Number of parameters (B)"),
                ],
                interactive=True,
            )

        with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=2):
            gr.Markdown(LLM_BENCHMARKS_TEXT, elem_classes="markdown-text")

        with gr.TabItem("🚀 Submit here! ", elem_id="llm-benchmark-tab-table", id=3):
            gr.Markdown(SUBMIT_FORM, elem_classes="markdown-text")

    with gr.Row():
        with gr.Accordion("📙 Citation", open=False):
            citation_button = gr.Textbox(
                value=CITATION_BUTTON_TEXT,
                label=CITATION_BUTTON_LABEL,
                lines=8,
                elem_id="citation-button",
                show_copy_button=True,
            )

scheduler = BackgroundScheduler()
scheduler.add_job(restart_space, "interval", seconds=1800)
scheduler.start()
demo.queue(default_concurrency_limit=40).launch()