diff --git a/readme.md b/readme.md
index 5618b9dc636b97093891c3c923925f17742359f1..9238cf073eb7403499ebf96f3de59ef81699a479 100644
--- a/readme.md
+++ b/readme.md
@@ -41,14 +41,15 @@ First thing to do after creating GPU workspace is to dowload data that are store
  
 
 *The second step would be installing the required *packages* for the code processing in your working environement weither it's the base env or a vir env
+
 	The required packages are listed in **requirements text file** 
 	Please run : 
 		
-		**pip install -r requirements.txt**
-	In your env run : ** conda install -c conda-forge psutil ** 
+	    **pip install -r requirements.txt**
+	In your env run :  **conda install -c conda-forge psutil** 
 
 ## Execution 
 
-Followwing the jupyter notebook steps leads to Training the Hyper3Dnet Model with GPU use.
+Following the jupyter notebook steps leads to Training the Hyper3Dnet Model with GPU use.
 A hint of the cells outputs are in the notebook : **Classiifcation_using_hyper3Dnet.ipynb**