From 75e1c6cb90c9e6b1faf859f45b4ab82287163d57 Mon Sep 17 00:00:00 2001
From: Cezary Pukownik <cezpuk@st.amu.edu.pl>
Date: Wed, 19 Jun 2019 13:24:31 +0200
Subject: [PATCH] readme update

---
 project/readme.md | 22 ++++++++++------------
 1 file changed, 10 insertions(+), 12 deletions(-)

diff --git a/project/readme.md b/project/readme.md
index 6d444da..7d9155a 100644
--- a/project/readme.md
+++ b/project/readme.md
@@ -1,28 +1,26 @@
-### MUSIC GENERATION USING DEEP LEARNING ##
-### AUTHOR: CEZARY PUKOWNIK
+###MUSIC GENERATION USING DEEP LEARNING
+###AUTHOR: CEZARY PUKOWNIK
 
-files:
+#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 - this file
+ - 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:
-
+#How to use:
 1. Use midi.py to export data from midi files
-
-  ./midi.py <midi_folder_path> <output_path>
+  >>> ./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>
+  >>> ./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>
+  >>> ./generate.py [trained_model_path] [output_path] [treshold]