AI/ML agent for Docker Compose sample automation

[ivansotelo12-pixel]

Description

Request to develop an AI/ML agent for the docker/awesome-compose repository.

Agent Purpose

• Streamline building and deploying Docker Compose samples
• Support automation and code generation for the many language stacks in the repository (HTML, Dockerfile, Rust, TypeScript, Java, Python, etc.)
• Enable extensibility for additional samples/features
• Provide a modern UI interface for configuration and testing

UI Example (Gradio & ModelScope Studio)

Use the following sample (adapt/adopt as needed):

import gradio as gr
import modelscope_studio.components.antd as antd
import modelscope_studio.components.base as ms

with gr.Blocks() as demo:
    with ms.Application():
        with antd.ConfigProvider():
            antd.Button("Primary Button", type="primary")
            antd.Divider()
            antd.Input()

if __name__ == "__main__":
    demo.queue().launch()

Expected Outcome

A useful agent for developers to interactively build, test, and deploy Compose samples using Docker Compose. The agent should automate tasks and provide a user-friendly web interface.