cookiecutter-pytorch-fastapi
基于Pytorch的 脚手架项目
按规范添加推理函数即可实现Celery+FastAPI+Gunicorn+Nginx+Supervisor+Docker的快速部署
Requirements
- Python >= 3.6 with pip installed
Quickstart
Install the latest Cookiecutter if you haven't installed it yet (this requires Cookiecutter 1.4.0 or higher):
# Install On Ubuntu
apt-get install cookiecutter
# Install On Centos with snapd (Not recommended)
yum install https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm
yum install snapd
systemctl enable --now snapd.socket
ln -s /var/lib/snapd/snap /snap
snap install cookiecutter --edge
Point cookiecutter to this GitHub repository to automatically download and generate your project
cookiecutter https://github.com/Aquish-Lee/cookiecutter-pytorch-fastapi
View the README.md of your new project for instructions on next steps
Resources
This project has six key dependencies:
| Dependency Name | Documentation | Description |
|---|---|---|
| Pytorch | https://pytorch.org/ | An open source machine learning framework |
| Celery | https://docs.celeryproject.org/en/stable/ | Distributed Task Queue |
| FastAPI | https://fastapi.tiangolo.com | FastAPI framework, high performance, easy to learn, fast to code, ready for production |
| Gunicorn | https://gunicorn.org/ | A Python WSGI HTTP Server for UNIX with pre-fork worker model |
| Nginx | https://www.nginx.com/ | An HTTP and reverse proxy server, Support load balancer and HTTP cache |
| Supervisor | http://supervisord.org/ | A client/server system, support monitor and control a number of processes on UNIX-like operating systems |
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