tursi 0.2.0

A simple framework to deploy AI models locally with one command, no containers needed

tursi-ai

A simple, lightweight framework to deploy AI models locally with a single command—no Docker, no external services required.

Overview

tursi-ai lets you run AI models (like text classification) on your machine with minimal setup. Our unique selling proposition: "AI deployment, one command, no containers needed." The base install is ~150-200MB, with an additional ~250MB for the default model on first run.

Features

• One-command deployment: Start a model server with a single script.
• No containers: Runs directly in your Python environment.
• Lightweight: Minimal dependencies, small footprint.
• Extensible: Built for easy customization and growth.

Getting Started

Prerequisites

• Python 3.8+ (tested with 3.12)

Installation

Install via PyPI:

pip install tursi

Or from source (for development)

1. Clone the repo:

git clone https://github.com/BlueTursi/tursi-ai.git
cd tursi-ai

2. Set up a virtual environment (required):

python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate

3. Install:

pip install .

Usage

1. Deploy a model:

tursi-engine up

Stop it with:

tursi-engine down

Customize:

tursi-engine up --model "distilbert-base-uncased-finetuned-sst-2-english" --host "127.0.0.1" --port 8080

2. Test the deployed model:

tursi-test --prompt "I love AI"

Or with a custom URL:

tursi-test --prompt "I love AI" --url "http://127.0.0.1:8080/predict"

---

Project Structure

tursi-ai/
├── tursi/            # Core package
│   ├── engine.py     # Deployment script with CLI
│   └── test.py       # Testing utility
├── LICENSE           # MIT License
├── README.md         # This file
├── requirements.txt  # Dependencies
└── setup.py          # PyPI setup

Roadmap

• Add more CLI commands (e.g., status, down).
• Support additional model types.

Contributing

Fork this repo, make changes, and submit a PR!

License

MIT License

Acknowledgments

Built with 💙 using:

• Transformers
• Flask
• PyTorch

Built by BlueTursi.