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Merge commit '1345efbcdfb9dd66c56616c233d2669ce3f84ded'
Browse files
app.py
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import gradio as gr
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from gradio_leaderboard import Leaderboard, ColumnFilter, SelectColumns
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def restart_space():
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API.restart_space(repo_id=REPO_ID)
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logger.info("
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def init_leaderboard(dataframe):
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# Display image using Markdown
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# banner = ""
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with gr.Tabs(elem_classes="tab-buttons") as tabs:
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with gr.TabItem("π
FormulaOne Leaderboard", elem_id="formulaone-leaderboar-tab-table", id=0):
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# with gr.TabItem("π About", elem_id="llm-benchmark-tab-table", id=1):
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# logger.info("Tab about")
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# show_copy_button=True,
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# )
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logger.info("Scheduler")
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scheduler = BackgroundScheduler()
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scheduler.add_job(restart_space, "interval", seconds=1800)
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scheduler.start()
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logger.info("Launch")
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demo.queue(default_concurrency_limit=40).launch()
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import random
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import gradio as gr
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from gradio_leaderboard import Leaderboard, ColumnFilter, SelectColumns
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def restart_space():
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logger.info("Restarting space")
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API.restart_space(repo_id=REPO_ID)
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def refresh_leaderboard_data():
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"""Refresh the leaderboard data from the latest results"""
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global leaderboard_df
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try:
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logger.info("Loading leaderboard data...")
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new_leaderboard_df = get_leaderboard_df(RESULTS_REPO)
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if new_leaderboard_df is not None and not new_leaderboard_df.empty:
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logger.info("Leaderboard data refreshed successfully")
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leaderboard_df = new_leaderboard_df
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else:
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logger.warning("No new leaderboard data found")
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return None
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except Exception as e:
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logger.error(f"Error refreshing leaderboard data: {e}")
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return None
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def init_leaderboard(dataframe):
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lbdb = F1Data(cp_ds_name=CODE_PROBLEMS_REPO, sub_ds_name=SUBMISSIONS_REPO, res_ds_name=RESULTS_REPO, split=SPLIT)
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leaderboard_df = None
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logger.info("Initialized LBDB")
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# (
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# finished_eval_queue_df,
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# running_eval_queue_df,
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# pending_eval_queue_df,
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# ) = get_evaluation_queue_df(EVAL_REQUESTS_PATH, EVAL_COLS)
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# Display image using Markdown
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# banner = ""
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with gr.Tabs(elem_classes="tab-buttons") as tabs:
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with gr.TabItem("π
FormulaOne Leaderboard", elem_id="formulaone-leaderboar-tab-table", id=0):
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refresh_leaderboard_data() # updates leaderboard_df
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leaderboard_component = init_leaderboard(leaderboard_df)
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# with gr.TabItem("π About", elem_id="llm-benchmark-tab-table", id=1):
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# logger.info("Tab about")
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# show_copy_button=True,
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# )
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demo.load(lambda: leaderboard_df, inputs=[], outputs=[leaderboard_component])
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logger.info("Scheduler")
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scheduler = BackgroundScheduler()
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scheduler.add_job(restart_space, "interval", seconds=1800)
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scheduler.add_job(refresh_leaderboard_data, "interval", seconds=120)
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scheduler.start()
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logger.info("Launch")
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demo.queue(default_concurrency_limit=40).launch()
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