"""Gradio app to showcase the LLM tokenization.""" import os import gradio as gr from huggingface_hub import login from playground_app import demo as playground_tab from compression_app import demo as compression_tab from character_app import demo as character_tab auth_token = os.environ.get('HF_TOKEN', None) if auth_token: login(token=auth_token) title = '
Tokenizer Arena ⚔️
' interface_list = [playground_tab, compression_tab, character_tab] tab_names = [" ⚔️ Playground", "🏆 Compression Leaderboard", "📊 Character Statistics"] # interface_list = [compression_tab, character_tab] # tab_names = ["🏆 Compression Leaderboard", "📊 Character Statistics"] with gr.Blocks(css="css/style.css", js="js/onload.js") as demo: gr.HTML( f"

{title}

" ) with gr.Tabs(): for interface, tab_name in zip(interface_list, tab_names): with gr.Tab(label=tab_name): interface.render() # model_name = gr.Textbox( # placeholder="🔍 Add tokenizer from Hugging Face (e.g. Xenova/gpt-4o) and press ENTER...", # show_label=False, # ) # # model_name.submit() # demo.load(js=open("js/onload.js", "r", encoding="utf-8").read()) if __name__ == "__main__": demo.launch() # demo.queue(max_size=1024, default_concurrency_limit=80).launch()