diff --git a/README.md b/README.md
index be58b41..4c8cf79 100644
--- a/README.md
+++ b/README.md
@@ -19,39 +19,41 @@ All the music pieces we used for generating the audio samples on Youtube and the
 ## Preparation
 
 - Install common libraries like
-	numpy
-	matplotlib
-	pickle
-	numpy
-	progressbar
-	sklearn
-	scipy
-	csv
-	keras
-	tensorflow
-	theano	(some functions are only supported with theano because of recurrentshop)
+```
+    numpy
+    matplotlib
+    pickle
+    numpy
+    progressbar
+    sklearn
+    scipy
+    csv
+    keras
+    tensorflow
+    theano  (some functions are only supported with theano because of recurrentshop)
+```
 - Make sure you have installed the following packages
-	https://github.com/craffel/pretty-midi 
-	https://github.com/farizrahman4u/recurrentshop/tree/master/recurrentshop
-	https://github.com/nschloe/matplotlib2tikz
+    + https://github.com/craffel/pretty-midi 
+    + https://github.com/farizrahman4u/recurrentshop/tree/master/recurrentshop
+    + https://github.com/nschloe/matplotlib2tikz
 
-- Put your midi data in the folder 'data/original/'
-- Group them into folders and name than for example 'style1', 'style2'
+- Put your midi data in the folder `data/original/`
+- Group them into folders and name than for example `style1`, `style2`
 - Make sure you have at least 10 midi files per style, otherwise it can't form a test set
-- Insert your style names into classes variable in settings.py
-- Adjust parameters for training in settings.py
+- Insert your style names into classes variable in `settings.py`
+- Adjust parameters for training in `settings.py`
 - Make sure you have all these files in the same folder
 
 ## Training
 
-- Run either vae_training.py to use the full MIDI-VAE model or
-- Run any of the style classifiers pitch_classifier.py, velocity_classifer.py or instrument_classifer.py
+- Run either `vae_training.py` to use the full MIDI-VAE model or
+- Run any of the style classifiers `pitch_classifier.py`, `velocity_classifer.py` or `instrument_classifer.py`
 
-The models will be stored in the automatically generated folder models/
+The models will be stored in the automatically generated folder `models/`
 
 ## Evaluation
 
 - Change the model_name and epoch of your MIDI-VAE model that you want to evaluate
 - Change the model names and epochs and weights for all the style classifiers
 - Make sure you have set the same parameters as were used during training
-- Run vae_evaluation.py
+- Run `vae_evaluation.py`