gradio

npx skills add majiayu000/claude-skill-registry --skill gradio --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# Gradio ## Installation ```bash # Install Gradio pip install gradio ``` ## Quick Start — Simple Interface ```python # hello.py — Minimal Gradio app with a text interface import gradio as gr def greet(name: str, intensity: int) -> str: return "Hello, " + name + "!" * intensity demo = gr.Interface( fn=greet, inputs=["text", gr.Slider(1, 10, value=1, label="Excitement")], outputs="text", title="Greeting Generator", description="Enter your name and excitement level.", ) demo.launch() # Opens http://localhost:7860 ``` ## Chat Interface ```python # chatbot.py — Build a chatbot UI with streaming responses import gradio as gr from openai import OpenAI client = OpenAI() def chat(message: str, history: list) -> str: messages = [{"role": "system", "content": "You are a helpful assistant."}] for h in history: messages.append({"role": "user", "content": h[0]}) if h[1]: messages.append({"role": "assistant", "content": h[1]}) messages.append({"role": "user", "content": message}) response = client.chat.completions.create( model="gpt-4", messages=messages, stream=True, ) partial = "" for chunk in response: if chunk.choices[0].delta.content: partial += chunk.choices[0].delta.content yield partial d

Install Gradio
pip install gradio
Create a Space on Hugging Face
pip install huggingface_hub
huggingface-cli repo create my-demo --type space --space-sdk gradio
Clone and push
git clone https://huggingface.co/spaces/username/my-demo
cd my-demo
Add app.py and requirements.txt, then push
git add . && git commit -m "Initial demo" && git push