huggingface-gradio Skill
Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots. Published by openai in plugins.
Decision snapshot
Is this a fit?
Developers using plugins, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
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Copy skill directory
20 days ago
No specific cautions were detected. Review the source and requested permissions before installing.
What is huggingface-gradio Skill?
Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots. Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Developers using plugins
Declared skill metadata
- Source file: plugins/hugging-face/skills/gradio/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use huggingface-gradio Skill
- Use it for developers using plugins.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/hugging-face/skills/gradio/SKILL.md
What it does
Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
Skill instructions
Gradio Gradio is a Python library for building interactive web UIs and ML demos. This skill covers the core API, patterns, and examples. Guides Detailed guides on specific topics (read these when relevant): - Quickstart - The Interface Class - Blocks and Event Listeners - Controlling Layout - More Blocks Features - Custom CSS and JS - Streaming Outputs - Streaming Inputs - Sharing Your App - Custom HTML Components - Getting Started with the Python Client - Getting Started with the JS Client Core Patterns Interface (high-level): wraps a function with input/output components. python import gradio as gr def greet(name): return f"Hello {name}!" gr.Interface(fn=greet, inputs="text", outputs="text").launch() Blocks (low-level): flexible layout with explicit event wiring. python import gradio as gr with gr.Blocks() as demo: name = gr.Textbox(label="Name") output = gr.Textbox(label="Greeting") btn = gr.Button("Greet") btn.click(fn=lambda n: f"Hello {n}!", inputs=name, outputs=output) demo.laun
Verified compatibility and discovery
Frequently asked questions
What is huggingface-gradio?
huggingface-gradio is a open-source AI agent skill with Copy skill directory. Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
Who is huggingface-gradio best for?
huggingface-gradio is best for reusing agent instructions, scripts, and references.
How do I install huggingface-gradio?
Install or run huggingface-gradio using Copy skill directory. Check huggingface-gradio for the latest setup command.
Is huggingface-gradio actively maintained?
huggingface-gradio may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
