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# Most code is from https://huggingface.co/spaces/Tune-A-Video-library/Tune-A-Video-Training-UI
#!/usr/bin/env python
from __future__ import annotations
import os
from subprocess import getoutput
import gradio as gr
import torch
from gradio_demo.app_running import create_demo
from gradio_demo.runner import Runner
TITLE = '# [vid2vid-zero](https://github.com/baaivision/vid2vid-zero)'
ORIGINAL_SPACE_ID = 'BAAI/vid2vid-zero'
SPACE_ID = os.getenv('SPACE_ID', ORIGINAL_SPACE_ID)
GPU_DATA = getoutput('nvidia-smi')
SHARED_UI_WARNING = f'''## Attention - Running doesn't work in this shared UI. You can duplicate and use it with a paid private T4 GPU.
<center><a class="duplicate-button" style="display:inline-block" target="_blank" href="https://huggingface.co/spaces/{SPACE_ID}?duplicate=true"><img style="margin-top:0;margin-bottom:0" src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a></center>
'''
if os.getenv('SYSTEM') == 'spaces' and SPACE_ID != ORIGINAL_SPACE_ID:
SETTINGS = f'<a href="https://huggingface.co/spaces/{SPACE_ID}/settings">Settings</a>'
else:
SETTINGS = 'Settings'
CUDA_NOT_AVAILABLE_WARNING = f'''## Attention - Running on CPU.
<center>
You can assign a GPU in the {SETTINGS} tab if you are running this on HF Spaces.
You can use "T4 small/medium" to run this demo.
</center>
'''
HF_TOKEN_NOT_SPECIFIED_WARNING = f'''The environment variable `HF_TOKEN` is not specified. Feel free to specify your Hugging Face token with write permission if you don't want to manually provide it for every run.
<center>
You can check and create your Hugging Face tokens <a href="https://huggingface.co/settings/tokens" target="_blank">here</a>.
You can specify environment variables in the "Repository secrets" section of the {SETTINGS} tab.
</center>
'''
HF_TOKEN = os.getenv('HF_TOKEN')
def show_warning(warning_text: str) -> gr.Blocks:
with gr.Blocks() as demo:
with gr.Box():
gr.Markdown(warning_text)
return demo
pipe = None
runner = Runner(HF_TOKEN)
with gr.Blocks(css='gradio_demo/style.css') as demo:
gr.HTML('''<center><a href="https://huggingface.co/spaces/BAAI/vid2vid-zero?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>Duplicate the Space and run securely with your machine''')
if not torch.cuda.is_available():
show_warning(CUDA_NOT_AVAILABLE_WARNING)
# elif SPACE_ID == ORIGINAL_SPACE_ID:
# show_warning(SHARED_UI_WARNING)
gr.Markdown(TITLE)
with gr.Tabs():
with gr.TabItem('Zero-shot Testing'):
create_demo(runner, pipe)
if not HF_TOKEN:
show_warning(HF_TOKEN_NOT_SPECIFIED_WARNING)
demo.queue(max_size=1).launch(share=False)
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