import logging from apscheduler.schedulers.background import BackgroundScheduler from src.logging import configure_root_logger logging.getLogger("httpx").setLevel(logging.WARNING) logging.getLogger("numexpr").setLevel(logging.WARNING) logging.getLogger("absl").setLevel(logging.WARNING) configure_root_logger() from functools import partial import gradio as gr # Choose ligtheval or harness backend from main_backend_lighteval import run_auto_eval #from main_backend_harness import run_auto_eval from src.display.log_visualizer import log_file_to_html_string from src.display.css_html_js import dark_mode_gradio_js from src.envs import REFRESH_RATE, REPO_ID, QUEUE_REPO, RESULTS_REPO from src.logging import setup_logger, log_file logging.basicConfig(level=logging.INFO) logger = setup_logger(__name__) intro_md = f""" # Intro This is a visual for the auto evaluator. """ links_md = f""" # Important links | Description | Link | |-----------------|------| | Leaderboard | [{REPO_ID}](https://huggingface.co/spaces/{REPO_ID}) | | Queue Repo | [{QUEUE_REPO}](https://huggingface.co/datasets/{QUEUE_REPO}) | | Results Repo | [{RESULTS_REPO}](https://huggingface.co/datasets/{RESULTS_REPO}) | """ def auto_eval(): logger.info("Triggering Auto Eval") run_auto_eval() reverse_order_checkbox = gr.Checkbox(label="Reverse Order", value=True) with gr.Blocks(js=dark_mode_gradio_js) as demo: gr.Markdown(intro_md) with gr.Tab("Application"): output_html = gr.HTML(partial(log_file_to_html_string, reverse=reverse_order_checkbox), every=1) with gr.Row(): download_button = gr.DownloadButton("Download Log File", value=log_file) with gr.Accordion('Log View Configuration', open=False): reverse_order_checkbox.render() # Add a button that when pressed, triggers run_auto_eval button = gr.Button("Manually Run Evaluation") gr.Markdown(links_md) #dummy = gr.Markdown(auto_eval, every=REFRESH_RATE, visible=False) button.click(fn=auto_eval, inputs=[], outputs=[]) if __name__ == '__main__': scheduler = BackgroundScheduler() scheduler.add_job(auto_eval, "interval", seconds=REFRESH_RATE) scheduler.start() demo.queue(default_concurrency_limit=40).launch(server_name="0.0.0.0", show_error=True, server_port=7860)