This is the backend for the TinyMLaaS project.

Start by cloning this repository. Then setup and run the app with the following steps.

Setup venv with:

python -m venv venv

Activate the virtual environment with:

source venv/bin/activate

Install project dependencies by running the following command inside the virtual environment:

pip install -r requirements.txt

In a new terminal window, run the following commands to set up an sqlite database:

sqlite3
.open tiny_mlaas.db
.read schema.sql
.read populate.sql

To connect the backend to the database, create a .env file (in the project's root directory) with the following line:

DATABASE_URL="sqlite:///./tiny_mlaas.db"

The projects main repository contains the machine learning modules. Download the modules by running the following command in the backend root directory:

svn checkout https://github.com/TinyMLaas/TinyMLaaS/trunk/TinyMLaaS_main

Optionally clone the main repository and copy or symlink the TinyMLaaS_main folder into the backend's root directory.

With the virtual environment activated in the project's root directory, run the app with:

uvicorn main:app --reload

Use the application with the project frontend here, or explore the API by browsing to: BACKEND_URL/docs.

Run unit tests in the backend root folder with:

pytest