| 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"""<img src="{image_url}" alt="{name}-thumbnail" height=256 width=256>""") |
| with gr.Column(scale=4): |
| gr.Markdown( |
| f""" |
| ## {name} |
| []({url}) |
| |
| #### {description} |
| |
| **Author(s):** {authors_md} |
| """ |
| ) |
| if more_info: |
| with gr.Row(): |
| with gr.Accordion("π More Details", open=False): |
| gr.Markdown(more_info) |
|
|
|
|
| title_and_description = """ |
| # Spaces Templates |
| |
| <div align="center"> |
| <a src="https://img.shields.io/github/stars/nateraw/spaces-docker-templates?style=social" href="https://github.com/nateraw/spaces-docker-templates" target="_blank"> |
| <img src="https://img.shields.io/github/stars/nateraw/spaces-docker-templates?label=Contribute&style=social" alt="GitHub Stars"> |
| </a> |
| |
| <h4>π A collection of templates for <a href="https://huggingface.co/spaces">Hugging Face Spaces</a></h4> |
| |
| The templates below are designed to help you get started with Docker Spaces. Duplicate them to get started with your own project. π€ |
| </div> |
| """ |
|
|
| 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() |
|
|