aarpon/qute_api

API to manage deep-learning models and other artifacts.

qute_api

API to manage deep-learning models and other artifacts. It is used primarily by qute.

How to install

$ conda create -n qute-api-env python=3.11  # or 3.10
$ conda activate qute-api-env
$ git clone https://github.com/aarpon/qute_api /path/to/qute_api
$ cd /path/to/qute_api
$ python -m pip install -e .
$ pip install -r dev-requirements.txt

How to run

$ cd qute_api/qute_api

• Copy config.ini.template to config.ini and set the MODELS_DIR variable to point to the models collection. The description of the models collection structure will follow soon.

$ export FLASK_APP=qute_api/app.py; flask run

To test, point your browser to http://127.0.0.1:5000.

To get a list of modes: /models

To get a list of versions of a specific model: /models/<model_name>

To download a specific model and version: /models/<model_name>/<model_version>

To download the hyper-parameters YAML file: /models/<model_name>/<model_version>/hparams

Alternatively, you can use the Gunicorn WSGI server:

$ gunicorn -w 4 -b 0.0.0.0:8000 'qute_api.app:app' 

Example client

See qute_api/qute_client/example.py.