## MUSIC GENERATION USING DEEP LEARNING
## AUTHOR: CEZARY PUKOWNIK

### Files:
 - midi.py - code for data extraction, and midi convertion
 - train.py - code for model definition, and training session
 - generate.py - code for model loading, predicting ang saving to midi_dir
 - settings.py - file where deafult settings are stored
 - readme.md - this file

### Directories:
 - data/midi - directory where input midi are stored
 - data/models - directory where trained models are stored
 - data/output - directory where generated music is stored
 - data/samples - directory where extracted data from midi is stored
 - data/samples.npz - deprecated

## How to use:
1. Use midi.py to export data from midi files
  > ./midi.py [midi_folder_path] [output_path]

2. Use train.py to train a model (this can take a while)
  > ./train.py [input_training_data] [model_save_path] [epochs]

3. Use generate.py to generate music from trained models
  > ./generate.py [trained_model_path] [output_path] [treshold]