app.py

#!/usr/bin/env python

from __future__ import annotations

import os
import shutil
import subprocess

import gradio as gr

if os.getenv('SYSTEM') == 'spaces':
    with open('patch') as f:
        subprocess.run('patch -p1'.split(), cwd='prismer', stdin=f)
    shutil.copytree('prismer/helpers/images',
                    'prismer/images',
                    dirs_exist_ok=True)

from app_caption import create_demo as create_demo_caption
from prismer_model import build_deformable_conv, download_models

download_models()
build_deformable_conv()

DESCRIPTION = '# [Prismer](https://github.com/nvlabs/prismer)'

if (SPACE_ID := os.getenv('SPACE_ID')) is not None:
    DESCRIPTION += f'<p>For faster inference without waiting in queue, you may duplicate the space and upgrade to GPU in settings. <a href="https://huggingface.co/spaces/{SPACE_ID}?duplicate=true"><img style="display: inline; margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space" /></a></p>'

with gr.Blocks(css='style.css') as demo:
    gr.Markdown(DESCRIPTION)
    with gr.Tabs():
        with gr.TabItem('Caption'):
            create_demo_caption()

demo.queue(api_open=False).launch()