AUDIOLIZER ¶

Market audiolization dashboard¶

Market audiolizer screenshot

Here is the midi file for the above plot.

Visit the documenation site to learn how it works!

Requirements¶

numpy
pandas
plotly
Historic-Crypto (pip)
pyaudio (conda)
audiogen (pip)
psidash pip install git+git@github.com:predsci/psidash.git

docs dependences (optional)

mkdocs (pip)
tabulate (pip)

Running from python¶

git clone https://github.com/asherp/audiolizer \
cd audiolizer \
python audiolizer.py

You should see something like the following output

audiolizer temp data: ./history/
Dash is running on http://0.0.0.0:8051/
* Serving Flask app 'audiolizer' (lazy loading)
* Environment: production
    - WARNING: This is a development server. Do not use it in a production deployment.
    - Use a production WSGI server instead.
* Debug mode: on

Open your browser to http://localhost:8051

You may hear a startup sound when the application starts. If you don't, that's ok - the dashboard will still play through the browser!

Running from Docker¶

option 1: docker-compose¶

Now run the audiolizer application:

docker-compose up audiolizer

This will automatically mount the audiolizer repo into the container's /home/audiolizer directory.

Open your browser to http://localhost:80

option 2: docker run¶

Running without mounting the repo into container:

docker run -p 8051:8051 -it apembroke/audiolizer

option 3: docker run with temp directories mounted¶

Running with mounted temp directories:

docker run -v /tmp/audio_files:/home/audiolizer/audiolizer/assets -v /tmp/price_data:/home/audiolizer/audiolizer/history -p 8051:8051 -it apembroke/audiolizer

AUDIOLIZER¶