Spaces:
Sleeping
Sleeping
| import gradio as gr | |
| def show_template(name, description, author, url, image_url, more_info=None): | |
| 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} | |
| """) | |
| if more_info: | |
| with gr.Row(): | |
| with gr.Accordion("👀 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>🚀 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. 🤗 | |
| </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.", | |
| author="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.", | |
| author="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() | |