| 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: | |
| gr.Markdown(''' | |
| **This space is for the PRO models we trained.** | |
| We will not open its dataset and model files because the data provider of the model has not granted open source permission. Only an online demo can be provided here. | |
| ''') | |
| with gr.Tabs(): | |
| for cls in apps: | |
| cls.create_gr() | |
| demo.queue(os.cpu_count()).launch() | |