Metadata-Version: 2.4
Name: mzl-init
Version: 1.0.2
Summary: A production-ready CLI tool that scaffolds AI/ML projects interactively
Author: mzl-init contributors
License: MIT
Project-URL: Homepage, https://github.com/mzl-init/mzl-init
Project-URL: Repository, https://github.com/mzl-init/mzl-init
Keywords: machine-learning,deep-learning,scaffolding,cli,mlops
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Requires-Dist: typer>=0.12.0
Requires-Dist: questionary>=2.0.0
Requires-Dist: jinja2>=3.1.0
Requires-Dist: rich>=13.0.0
Provides-Extra: dev
Requires-Dist: pytest>=7.0.0; extra == "dev"
Requires-Dist: pytest-cov>=4.0.0; extra == "dev"
Requires-Dist: black>=23.0.0; extra == "dev"
Requires-Dist: isort>=5.0.0; extra == "dev"
Requires-Dist: mypy>=1.0.0; extra == "dev"
Requires-Dist: ruff>=0.1.0; extra == "dev"
Requires-Dist: pre-commit>=3.0.0; extra == "dev"

# 🚀 mzl-init

> A production-ready AI/ML project scaffolding CLI — like Vite, but for Machine Learning.

[![Python](https://img.shields.io/badge/python-3.9%2B-blue)](https://python.org)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](LICENSE)

## Installation

```bash
pip install -e .
```

## Usage

### Interactive mode (recommended)

```bash
mzl-init my_project
```

Launches an arrow-key prompt to select:
- Project type (Tabular ML / Deep Learning / NLP / Computer Vision / LLM App)
- Framework (PyTorch / TensorFlow / Scikit-learn)
- Optional features: FastAPI, Docker, MLflow, DVC, Hydra

### Non-interactive mode (CI/CD)

```bash
mzl-init init my_project --type tabular --framework sklearn --docker --mlflow
```

### Check your environment

```bash
mzl-init doctor
```

### Version

```bash
mzl-init --version
```

## Generated Structure

```
my_project/
├── configs/            # YAML configuration files
├── data/raw|processed|external
├── docs/
├── models/             # Trained artifacts
├── notebooks/
├── reports/
├── scripts/
├── src/
│   ├── data/loader.py
│   ├── features/build_features.py
│   ├── models/model.py         ← framework-specific
│   ├── training/train.py       ← MLflow-aware
│   ├── evaluation/evaluate.py
│   ├── inference/predict.py
│   └── utils/logger.py
├── tests/
├── deployment/api|docker|cloud
├── .env
├── .gitignore
├── main.py
├── requirements.txt
└── pyproject.toml
```

## License

MIT
