To launch it, first install the package then run deepaas:
git clone https://github.com/ai4os-hub/audio_vessel_classifier
cd audio_vessel_classifier
pip install -e .
deepaas-run --listen-ip 0.0.0.0│
├── Dockerfile <- Describes main steps on integration of DEEPaaS API and
│ audio_vessel_classifier application in one Docker image
│
├── Jenkinsfile <- Describes basic Jenkins CI/CD pipeline (see .sqa/)
│
├── LICENSE <- License file
│
├── README.md <- The top-level README for developers using this project.
│
├── VERSION <- audio_vessel_classifier version file
│
├── .sqa/ <- CI/CD configuration files
│
├── audio_vessel_classifier <- Source code for use in this project.
│ │
│ ├── __init__.py <- Makes audio_vessel_classifier a Python module
│ │
│ ├── api.py <- Main script for the integration with DEEPaaS API
│ |
│ ├── config.py <- Configuration file to define Constants used across audio_vessel_classifier
│ │
│ └── misc.py <- Misc functions that were helpful accross projects
│
├── data/ <- Folder to store the data
│
├── models/ <- Folder to store models
│
├── tests/ <- Scripts to perfrom code testing
|
├── metadata.json <- Metadata information propagated to the AI4OS Hub
│
├── pyproject.toml <- a configuration file used by packaging tools, so audio_vessel_classifier
│ can be imported or installed with `pip install -e .`
│
├── requirements.txt <- The requirements file for reproducing the analysis environment, i.e.
│ contains a list of packages needed to make audio_vessel_classifier work
│
├── requirements-test.txt <- The requirements file for running code tests (see tests/ directory)
│
└── tox.ini <- Configuration file for the tox tool used for testing (see .sqa/)