Rapidly create interactive web interfaces for machine learning models using Python.
Install
mkdir -p .claude/skills/gradio && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/18981" && unzip -o skill.zip -d .claude/skills/gradio && rm skill.zipInstalls to .claude/skills/gradio
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Creates ML demo interfaces with Gradio, supporting images, text, audio, and video inputs/outputs.Key capabilities
- →Build demo web apps for machine learning models
- →Create interfaces with custom layouts
- →Support image inputs and outputs
- →Support text inputs and outputs
- →Support audio and video inputs and outputs
- →Prototype ML APIs
How it works
The skill uses the Gradio library to create web-based interfaces for machine learning models by defining a function and specifying input/output components. It supports various data types and custom layouts.
Inputs & outputs
When to use gradio
- →Building ML model demos
- →Sharing models with team
- →Prototyping ML APIs
- →Interactive user testing
About this skill
Gradio
Build demo web apps for machine learning models.
Quick Start
import gradio as gr
def greet(name, intensity): return "Hello " + name + "!" * intensity
demo = gr.Interface(fn=greet, inputs=[gr.Textbox(label="Name"), gr.Slider(1, 5, value=2)], outputs=gr.Textbox())
demo.launch()
Blocks Layout
with gr.Blocks() as demo:
gr.Markdown("# My App")
with gr.Row():
with gr.Column(): input_img = gr.Image(); btn = gr.Button("Process")
with gr.Column(): output_img = gr.Image()
btn.click(fn=process, inputs=input_img, outputs=output_img)
When to Use
- ML model demos; Team sharing; User testing; API prototyping
Validation
- Interface launches on shareable URL; 2. Input types work; 3. Function returns expected output
When not to use it
- →When the interface does not launch on a shareable URL
- →When input types do not work
- →When the function does not return expected output
Limitations
- →Requires Python code for interface definition
- →Validation checks include interface launch, input type functionality, and expected output
How it compares
This skill provides a rapid way to build and share interactive ML model demos as web apps, simplifying the process compared to developing a full web application.
Compared to similar skills
gradio side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| gradio (this skill) | 0 | 12d | No flags | Beginner |
| llava | 7 | 8mo | Review | Advanced |
| cocoindex | 6 | 9mo | Review | Intermediate |
| ai-multimodal | 9 | 6mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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