AUDIOLIZER

Market audiolization dashboard

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==0.2.11 (conda)
• audiogen_p3 pip install audiogen_p3
• MIDIUtil==1.2.1 (pip)
• psidash pip install git+https://github.com/predsci/psidash.git
• dash bootstrap components pip install dash-bootstrap-components
• dash audio components (wav) pip install dash-audio-components
• dash daq pip install dash-daq

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