update examples

app.py

@@ -7,10 +7,9 @@ import numpy as np
 # multiclass_model =  pickle.load(open('models/MulticlassModel_200x200', 'rb'))
 ensemble_model =  pickle.load(open('EnsembleModels_200x200', 'rb'))
 
-examples = ["images/Conso.jpg", "images/Incom.jpg",'images/DBF.jpg','images/DLC.jpg','images/EHD.jpg',
-            'images/IDR.jpg','images/PPD.jpg','images/PSLF.jpg','images/REA.jpg','images/SCD.jpg',
-            'images/TDD.jpg','images/TLF.jpg','images/UD.jpg','images/test1.jpg','images/test2.jpg',
-            'images/test3.jpg','images/test4.jpg','images/test5.jpg','images/test6.jpg']
+examples = ["images/Incom.jpg", "images/DLC.jpg", 'images/EHD.jpg','images/test4.jpg','images/test6.jpg',
+            'images/IDR.jpg','images/PPD.jpg','images/PSLF.jpg' ,'images/SCD.jpg',
+            'images/TLF.jpg','images/test2.jpg']
 
 def preprocess(img):
     img = cv2.resize(img, (200,200))