PARCA

Flask server with some utils for servidn tensorflow models.

Structure

/
    models                  # Folder to storage copied models.
    src/
        flask_server/       # Flask server init configuration
        utils/              # Utility methods for management of models
    tensorflow-serve.sh     # Command for start docker iamges of tensorflow server

Usage

Copy model exported folders by save model and variables of tensorflow. python3 main.py --copy-model [model_folder_path] --name [model_name]

Create protobuff configuration for multiple models over tensorflow-serve python3 main.py --generate-config

Create protobuff configuration for multiple models over tensorflow-serve, with an specific path usefull with docker images. python3 main.py --generate-config-path [path]

Run flask server python3 main.py --serve

References

Tensorflow Serve [https://www.tensorflow.org/tfx/serving/serving_basic]