annhub-python 0.1.5

Main backend module, which is used for developing web-app logic and deploying AI model.

backend-module

Main backend module, which is used for developing web-app logic and deploying AI model.

Usage - Phase 1

Step 1: Install and update Docker and Docker Compose.

Step 2: Put the desired model into your app with the following path:

ml\model\<model_name>

Step 3: Config model name as an environment variable in .env file.

Step 4: Build and run docker

$ docker-compose build
$ docker-compose up -d

Usage - Phase 2

We develop a RESTful web controller into a reusable library between many AI models. With these functionalities: Input model, Define data input, logging, exception handler.

Installing

Delivering and versioning as a PyPi package. Install and update using pip:

$ pip install annhub-python

A simple example

from annhub_python import PyAnn

pyann = PyAnn()

# Define the expected AI model
pyann.set_model("D:\ARI\ANSCENTER\TrainedModel_c++.ann")

# Define which model ID will be used
pyann.set_model_id(5122020)

# Define the input corresponding to the choosen model
pyann.set_input_length(4)

if __name__ == "__main__":
    pyann.run(host = "0.0.0.0", port = 8080, debug = False)

API

The library will product two APIs: health checking, predicting as well as a Swagger UI for API documentation.

GET: /api/v1/health
POST: /api/v1/predict