AI3 Workers

A Python package that provides utilities and standard configurations for creating Streamlit workers in the AIAIAI ecosystem.

Features

• 🎨 Automatic styling and configuration
• 🌐 Built-in internationalization (i18n) support
• 🔑 Consistent component key management
• 📏 Automatic height adjustment
• 🔄 Worker rendering status tracking

Installation

Install using Poetry:

poetry add ai3-workers

Or with pip:

pip install ai3-workers

Quick Start

Create a new worker with minimal boilerplate:

from ai3_workers.core.config import create_worker

# Initialize the worker - must be first line after imports
st = create_worker()

def main():
    name = st.text_input("Enter your name")
    if st.button("Submit"):
        st.write(f"Hello, {name}!")

if __name__ == "__main__":
    main()

Project Structure

Recommended project structure for a worker:

my-worker/
├── src/
│   ├── i18n.json          # Translations file
│   ├── interface.py       # Main worker file
│   └── modules/           # Worker-specific modules
├── pyproject.toml
└── poetry.lock

Internationalization

Add translations in src/i18n.json:

{
  "title": {
    "en": "My Worker",
    "es": "Mi Worker",
    "nl": "Mijn Worker"
  },
  "description": {
    "en": "A simple worker example",
    "es": "Un ejemplo simple de worker",
    "nl": "Een eenvoudig worker voorbeeld"
  }
}

The package will automatically load translations and use them for the worker title and description. You can also customize these directly:

st = create_worker(
    title="Custom Title",
    description="Custom description"
)

StreamlitWrapper

The package provides a wrapped version of Streamlit that automatically:

• Generates consistent component keys
• Applies standard styling
• Sets default values for common properties

Supported components include:

• Button components (primary style by default)
• Input components
• Form components
• Data display components
• Media components

Development Setup

1. Clone the repository:

git clone git@hub.nucleoo.com:aiaiai/ai3-workers.git

2. Install dependencies:

poetry install

Running a Worker

From your worker directory:

poetry run streamlit run src/interface.py