import gradio as gr
def name_to_hf_markdown(name):
return f"[{name}](https://huggingface.co/{name})"
def show_template(name, description, authors, url, image_url, more_info=None):
if isinstance(authors, str):
authors = [authors]
authors_md = ", ".join([name_to_hf_markdown(author) for author in authors])
with gr.Box():
with gr.Row():
with gr.Column(scale=1):
gr.HTML(f"""""")
with gr.Column(scale=4):
gr.Markdown(
f"""
## {name}
[![Open In Colab](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)]({url})
#### {description}
**Author(s):** {authors_md}
"""
)
if more_info:
with gr.Row():
with gr.Accordion("👀 More Details", open=False):
gr.Markdown(more_info)
title_and_description = """
# Spaces Templates
The templates below are designed to help you get started with Docker Spaces. Duplicate them to get started with your own project. 🤗
"""
with gr.Blocks(css="style.css") as demo:
gr.Markdown(title_and_description)
show_template(
name="JupyterLab",
description="Spin up a JupyterLab instance with just a couple clicks. This template is great for data exploration, model training, and more. Works on CPU and GPU hardware.",
authors=["camenduru", "nateraw"],
url="https://huggingface.co/spaces/DockerTemplates/jupyterlab?duplicate=true",
image_url="https://upload.wikimedia.org/wikipedia/commons/thumb/3/38/Jupyter_logo.svg/1767px-Jupyter_logo.svg.png",
more_info="""
### Configuration
- You can add dependencies to your JupyterLab instance by editing the `requirements.txt` file.
- You can add linux packages to your JupyterLab instance by editing the `packages.txt` file.
- You can add custom startup commands to your JupyterLab instance by editing the `on_startup.sh` file. These run with the root user.
""",
)
show_template(
name="VSCode",
description="Spin up a VSCode instance with just a couple clicks. This template is great for data exploration, model training, and more. Works on CPU and GPU hardware.",
authors=["camenduru", "nateraw"],
url="https://huggingface.co/spaces/DockerTemplates/vscode?duplicate=true",
image_url="https://upload.wikimedia.org/wikipedia/commons/thumb/9/9a/Visual_Studio_Code_1.35_icon.svg/1200px-Visual_Studio_Code_1.35_icon.svg.png",
more_info="""
### Configuration
- You can add dependencies to your VSCode instance by editing the `requirements.txt` file.
- You can add linux packages to your VSCode instance by editing the `packages.txt` file.
- You can add custom startup commands to your VSCode instance by editing the `on_startup.sh` file. These run with the root user.
""",
)
if __name__ == "__main__":
demo.launch()