app.py

import gradio as gr
from apscheduler.schedulers.background import BackgroundScheduler

from src.about import (
    CITATION_BUTTON_LABEL,
    CITATION_BUTTON_TEXT,
    INTRODUCTION_TEXT,
    LLM_BENCHMARKS_TEXT,
    TITLE,
)
from src.display.css_html_js import custom_css
from src.envs import API, REPO_ID, TOKEN
from src import populate


def restart_space():
    print(TOKEN)
    API.restart_space(repo_id=REPO_ID, token=TOKEN)

# restart_space()

demo = gr.Blocks(css=custom_css)
with demo:
    gr.HTML(TITLE)
    # with gr.Column(scale=5):
    gr.Markdown(INTRODUCTION_TEXT, elem_classes="markdown-text")
    # with gr.Column(scale=2):
    #     gr.Markdown("""
    #                 ![](src/logo.png)
    #                 """)
    

    with gr.Tabs(elem_classes="tab-buttons") as tabs:
        with gr.TabItem("🏅 LLM Benchmark", elem_id="llm-benchmark-tab-table", id=0):
            leaderboard_df = populate.load_leaderboard()
            leaderboard_table = gr.components.Dataframe(
                value=leaderboard_df,
                # headers=dummy_leaderboard.HEADERS,
                headers=["", "Model", "Accuracy", "Agreement", "Self-Accuracy", "Self-Agreement"],
                datatype=populate.TYPES,
                elem_id="leaderboard-table",
                interactive=False,
                visible=True,
                height=600,
            )

        with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=2):
            gr.Markdown(LLM_BENCHMARKS_TEXT, 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=6,
                        elem_id="citation-button",
                        show_copy_button=True,
                    )

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

        #     with gr.Row():
        #         gr.Markdown("# ✉️✨ Submit your model here!", elem_classes="markdown-text")

    

scheduler = BackgroundScheduler()
scheduler.add_job(restart_space, "interval", seconds=18000)
scheduler.start()
demo.queue(default_concurrency_limit=40).launch()