From acb3024341fbf512a00a108b5dff0668274f2993 Mon Sep 17 00:00:00 2001
From: Cezary Pukownik <cezpuk@st.amu.edu.pl>
Date: Wed, 19 Jun 2019 17:49:28 +0200
Subject: [PATCH] readme.md

---
 project/readme.md | 16 ++++++++--------
 1 file changed, 8 insertions(+), 8 deletions(-)

diff --git a/project/readme.md b/project/readme.md
index 1de72d2..b1561b7 100644
--- a/project/readme.md
+++ b/project/readme.md
@@ -1,26 +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.md - this file
 
- # Directories:
+### 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]