diff --git a/__pycache__/config.cpython-38.pyc b/__pycache__/config.cpython-38.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..73027f19325ace3f6094e5acd6f794ea3c21d0ea
Binary files /dev/null and b/__pycache__/config.cpython-38.pyc differ
diff --git a/__pycache__/faceAnalysis.cpython-38.pyc b/__pycache__/faceAnalysis.cpython-38.pyc
index 9e98b6702b934e5048221bfedb7773e89133c1ea..3180ef60e71d091d23f1159f4c5339bad92d61a8 100644
Binary files a/__pycache__/faceAnalysis.cpython-38.pyc and b/__pycache__/faceAnalysis.cpython-38.pyc differ
diff --git a/config.py b/config.py
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..501e27405619b029250040ed52590fa2643279f2 100644
--- a/config.py
+++ b/config.py
@@ -0,0 +1,8 @@
+#Name of model used
+modelName = 'firstModel'
+
+#Emotions provided by the dataset
+emotions = ["Angry", "Disgust", "Fear", "Happy", "Sad", "Suprise", "Neutral"]
+
+#Shape of input of the model
+input_shape = (48,48,1)
\ No newline at end of file
diff --git a/faceAnalysis.py b/faceAnalysis.py
index 0dd26b246d783ab02956def12c92c353b0c4c1be..107d9bc9d0247b7583cbae2a518b54980d361f79 100644
--- a/faceAnalysis.py
+++ b/faceAnalysis.py
@@ -3,8 +3,7 @@ import keras
 import numpy as np
 import cv2
 from utils import *
-emotions = ["Angry", "Disgust", "Fear", "Happy", "Sad", "Suprise", "Neutral"]
-input_shape = (48,48,1)
+from config import emotions, input_shape
 
 def detectEmotion(face):
 	#Return the most likely emotion there is on a 48x48x1 gray face
diff --git a/imageProcess.py b/imageProcess.py
index 9da3637b04e6fde8320c11cb89853c80a24e0152..a8b4be6c44677402604ba168963a1c8bae7b0de9 100644
--- a/imageProcess.py
+++ b/imageProcess.py
@@ -2,7 +2,6 @@
 import cv2
 import numpy as np
 import faceAnalysis as fa
-input_shape = (48,48,1)
 
 def imageProcess(image):
     #Objectives : detect faces, identify emotion associated on it, modify the image by framing faces and writing their emotions associated
diff --git a/loadFer2013ds.py b/loadFer2013ds.py
index 65d991a33dae5d30a5deb48ece4ba6f4978f2a37..18189926ac7470df269dd1d366c7196237191434 100644
--- a/loadFer2013ds.py
+++ b/loadFer2013ds.py
@@ -9,14 +9,6 @@ nbrImages = 35887
 maxNbrImages = nbrImages
 emotions = ["Angry", "Disgust", "Fear", "Happy", "Sad", "Suprise", "Neutral"]
 
-def traitement(a,b,c):  #For testing
-	pass
-	# arr = strToArray(b)
-	# print(a)
-	# plt.imshow(arr)
-	# plt.show()
-	# pass
-
 def strToArray(string):  #Fer2013 provides images as string so it needs to be transformed
 	A = []
 	lenght = len(string)