hugging-face-gradio
Has your agent build web interfaces and demos with Gradio in Python. It's useful for creating or editing Gradio apps, components, and chatbots.
What it does
This tool helps you create interactive web interfaces and machine learning demos using the Python library Gradio. It allows you to quickly build web applications without needing extensive web programming knowledge.
When to use it
- ✓Creating a demo for a machine learning model.
- ✓Building a simple web interface for a Python script.
- ✓Developing an interactive chatbot.
Example of what to ask your AI
“Create a simple web interface that takes a name as input and returns a greeting.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
You write Python code using the Gradio library. Gradio handles turning your code into a web interface that people can use.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill hugging-face-gradioOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/hugging-face-gradio/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Gradio
When to Use
Use this skill when you need build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
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.
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.
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.launch()
ChatInterface: high-level wrapper for chatbot UIs.
import gradio as gr
def respond(message, history):
return f"You said: {message}"
gr.ChatInterface(fn=respond).launch()
Key Component Signatures
Textbox(value: str | I18nData | Callable | None = None, type: Literal['text', 'password', 'email'] = "text", lines: int = 1, max_lines: int | None = None, placeholder: str | I18nData | None = None, label: str | I18nData | None = None, info: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, autofocus: bool = False, autoscroll: bool = True, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", text_align: Literal['left', 'right'] | None = None, rtl: bool = False, buttons: list[Literal['copy'] | Button] | None = None, max_length: int | None = None, submit_btn: str | bool | None = False, stop_btn: str | bool | None = False, html_attributes: InputHTMLAttributes | None = None)
Creates a textarea for user to enter string input or display string output..
Number(value: float | Callable | None = None, label: str | I18nData | None = None, placeholder: str | I18nData | None = None, info: str | I18nData | None = None, every: Timer | float | None = None, inputs: Component | Sequence[Component] | set[Component] | None = None, show_label: bool | None = None, container: bool = True, scale: int | None = None, min_width: int = 160, interactive: bool | None = None, visible: bool | Literal['hidden'] = True, elem_id: str | None = None, elem_classes: list[str] | str | None = None, render: bool = True, key: int | str | tuple[int | str, ...] | None = None, preserved_by_key: list[str] | str | None = "value", buttons: list[Button] | None = None, precision: int | None = None, minimum: float | None = None, maximum: float | None = None, step: float = 1)
Creates a numeric field for user to enter numbers as input or display numeric output..
…
FAQ
What is Gradio?
Gradio is a Python library that makes it easy to build web interfaces for your machine learning models or any Python function.
Do I need to know HTML, CSS, or JavaScript?
No, Gradio abstracts away the complexity of web development, allowing you to focus on your application's logic.
Can I create interfaces for chatbots?
Yes, Gradio has a specific component called `ChatInterface` for easily building chatbot interfaces.
Details
Original description by the author
Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3223
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
More skills from this repository
00-andruia-consultant
Helps your agent start or improve AI projects. It analyzes code, suggests tools, and creates action plans in Spanish.
sickn33/agentic-awesome-skills
007
Lets your agent perform security audits and threat modeling. It's useful for protecting projects against attacks and vulnerabilities.
sickn33/agentic-awesome-skills
10-andruia-skill-smith
Helps your agent create or improve AI tools. It defines how tools work, writes documentation, and validates the structure.
sickn33/agentic-awesome-skills
20-andruia-niche-intelligence
Lets your agent create a summary about a specific industry. It's useful for understanding the context, rules, usage patterns, and risks of a project, using reliable sources.
sickn33/agentic-awesome-skills
Similar skills
agent-architecture-audit
Makes your agent check if everything is working correctly. It finds and fixes problems in AI systems, ensuring they perform as expected.
affaan-m/ECC
agent-eval
Helps your agent compare different AI coding tools. It measures which one is faster, cheaper, and more reliable for specific tasks.
affaan-m/ECC
agent-harness-construction
Makes your agent better understand how to perform tasks. It optimizes the tools and instructions the agent uses to increase its chances of success.
affaan-m/ECC