This has been tested so far using a virtual environment to install the correct dependencies. I use an ipython venv

For local development in a clean repo, first enter the app directory

cd ifu-listener

Now, set up and activate a virtual environment for a clean install

python3 -m venv ifu-venv
source ifu-venv/bin/activate

Then, intall the required libraries with pip

pip3 install -r requirements.txt

Setting Up Sound Grid

This approach pre-renders the audification for each spaxel. When in the virtual environment, above, change into the listener-app sub-directory:

cd listener-app

Download the example data set (we want to try different datasets and standardise the pipeline)

python3 get_data.py

and render the grid:

python3 render_soundgrid.py

Curently, most of the processing and parameters are hard-coded, but there are many things we can change here which will strongly affect how the spectrum sounds (e.g. continuum subtraction, frequency mapping range, 'contrast', etc.)

Serving Locally

This works in the browser, so make sure you are in the virtual environment setup above, e.g.

source ifu-venv/bin/activate 

Now, set up the server, for example on port 8080

gunicorn -b :8080 app:app

The app can now be opened in your browser via address localhost:8080