app.py

import os

import gradio as gr

from base import Classification

apps = [
    Classification('Completeness [Pro]', 'DeepBase/anime_completeness', 'caformer_s36_v2.3'),
]

if __name__ == '__main__':
    with gr.Blocks() as demo:
        with gr.Tabs():
            for cls in apps:
                cls.create_gr()

    demo.queue(os.cpu_count()).launch()