import threading import time import gradio as gr from gradio_space_ci import enable_space_ci from huggingface_hub import HfApi, HfFileSystem from functions import commit enable_space_ci() api = HfApi() fs = HfFileSystem() def refresh(how_much=43200): # default to 12 hour time.sleep(how_much) try: api.restart_space(repo_id="T145/open-llm-leaderboard-results-to-modelcard") except Exception as e: print(f"Error while scraping leaderboard, trying again... {e}") refresh(600) # 10 minutes if any error happens gradio_title = "Modelcards + Open LLM Leaderboard Results" gradio_desc = """ ## 🎯 What This Tool Does - This tool adds the [Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) result of your model at the end of your model card. - This tool also adds evaluation results to your model metadata and showcases the evaluation results as a widget. ## 🛠️ Backend The leaderboard's backend mainly runs on the [Hugging Face Hub API](https://huggingface.co/docs/huggingface_hub/v0.26.3/package_reference/hf_api). ## 🤝 Acknowledgements - Special thanks to [Yağız Çalık (Weyaxi)](https://huggingface.co/Weyaxi) for the original tool. """ with gr.Blocks() as demo: gr.HTML(f"""

{gradio_title}

""") gr.HTML( """

DON'T SPAM MODELS!

""" ) gr.HTML( """

It won't change anything!

""" ) gr.Markdown(gradio_desc) with gr.Row(equal_height=False): with gr.Column(): model_id = gr.Textbox(label="Model ID or URL", lines=1) gr.LoginButton() with gr.Column(): output = gr.Textbox(label="Output", lines=1) submit_btn = gr.Button("Submit", variant="primary") def validate_model_id(input_id, oauth_token: gr.OAuthToken): return commit(input_id, oauth_token=oauth_token.token) submit_btn.click(validate_model_id, model_id, output) threading.Thread(target=refresh).start() demo.launch()