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User interface for Tiny Machine Learning as a Service

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TinyML-frontend

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frontend for TinyMLaaS.

Dependecies

Depends on package usbutils.

On Debian-based systems install it with:

apt install usbutils

USB-detection

The frontend uses the external command lsusb to find suitable usb-devices.

This means that the frontend can't natively find usb devices on windows and needs to be run in a docker container for this feature.

Running

Run backend from this repository

Activate virtual environment with:

source /venv/bin/activate

Install dependencies with:

pip install requirements.txt

Create an .env file in frontend root directory that points to backend:

BACKEND_URL = "http://localhost:8000"

Run frontend with:

streamlit run TinyMLaaS.py

Testing

This project uses Robot Framework to run end-to-end testing. For testing you need to have both the backend and frontend running. Before running frontend, environment variable ROBOT_TESTS should be set to true. On bash, you can do that with

ROBOT_TESTS=true && export ROBOT_TESTS

This makes it that the robot tests don't access actual usb-devices, but rather use sepcifically defined mock data.

In the backend you will need to have enough test data in the database to run the robot tests. You can set up the database in the backend folder with

touch tiny_mlaas.db
sqlite3 tiny_mlaas.db < schema.sql
sqlite3 tiny_mlaas.db < populate.sql

Run Robot Framework tests with:

robot -d robot_output tests/

The -d flag directs the robot test outputs, which can be quite generous, to a named folder.

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