simple_tensorflow_serving

(β˜… 757)

Generic and easy-to-use serving service for machine learning models

  • .dockerignore
  • .gitignore
  • docker-compose.yml
  • Dockerfile
  • Dockerfile.latest-gpu
  • Dockerfile.latest-hdfs
  • Dockerfile.latest-py34
  • Dockerfile.latest-py37
  • LICENSE
  • MANIFEST.in
  • README.md
  • requirements-gpu.txt
  • requirements-rtfd.txt
  • requirements.txt
  • setup.py
  • simple_tensorflow_serving.yaml
  • WORKSPACE
  • wsgi.py

# Installation Guide

1. Get the code
git clone https://github.com/tobegit3hub/simple_tensorflow_serving

Downloads the entire project code from GitHub to your computer.

cd simple_tensorflow_serving

Moves into the project folder you just downloaded.

2. Official Install Script

Easy Recommended
Prerequisites
  • Python 3 Python is required to use pip.
pip install simple_tensorflow_serving

Installs the package published on PyPI directly β€” no need to clone the source.

βœ… After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.

Pulled directly from this repo's README.

3. Docker

Easy
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
docker run -d -p 8500:8500 tobegit3hub/simple_tensorflow_serving

Runs the built image as an actual container.

docker run -d -p 8500:8500 tobegit3hub/simple_tensorflow_serving:latest-gpu

Runs the built image as an actual container.

docker run -d -p 8500:8500 tobegit3hub/simple_tensorflow_serving:latest-hdfs

Runs the built image as an actual container.

docker run -d -p 8500:8500 tobegit3hub/simple_tensorflow_serving:latest-py34

Runs the built image as an actual container.

docker-compose up -d

Runs the command against the services defined in the compose file.

βœ… Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.

Pulled directly from this repo's README.

4. Python

Easy
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.
pip install simple_tensorflow_serving

Installs the package published on PyPI directly β€” no need to clone the source.

βœ… If it runs without errors and prints output in the terminal, it worked.

Pulled directly from this repo's README.

// repository documentation