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"""{name}-thumbnail""") 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
GitHub Stars

🚀 A collection of templates for Hugging Face Spaces

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()