3d_wordclouds

NO LONGER WORKS WITH NEW VERSIONS OF PYTHON :(( latest is 2.83

Description

Create 3D wordclouds representing your Spotify playlists. This is just a proof of concept in generating procedural art.

Usage

Clone the repo to download the two files. The 'generate_freq.py' file is used to generate both a csv file of song lyrics and a text file containing the word frequencies. 'WordPile.py' should be run with blender to generate the image.

Install prerequisites:

Install blender

Pip can be used to install the dependencies:

pip install -r REQUIREMENTS.txt

Running the code:

1. Edit both the 'client_id' and 'client_secret' in 'generate_req.py' to your spotify dev credentials.

2. Run 'generate_req.py' with the playlists URI as an argument:

python generate_freq.py <URI>

3. For the program to run blender, blender needs to be accessible from the command line. Alternatively if this fails run WordPile.py with blender, with the URI as an argument after '--'

<path_to_blender> -b --python WordPile.py -- <URI>

Adjustable parameters in 'config.txt'

• 'col_pal' an array of hex values creating a color pallet
  • These can be generated easily at coolors.co exporting a pallet as code and copying the array
• 'random_color' if false then the color pallet is used, if true random colors are generated
• 'num_words' the number of words to be simulated
• 'mi_max' the spread from the centre of the image of the largest words
• 'li_max' the spread from the centre fo the image of the smallest words
• 'current_height' the starting height of the words
• 'vertical_offset' the amount that each word is raised above the last
• 'extrusion' the height of each word
• 's_f' a scale factor to adjust the size of the words
• 'add_exclude' an array of additional words to exclude from the wordcloud