Update app.py

app.py

@@ -67,8 +67,9 @@ Deepface is a lightweight face recognition and facial attribute analysis (age, g
 Experiments show that human beings have 97.53% accuracy on facial recognition tasks whereas those models already reached and passed that accuracy level.
 Please click on the Github link for more information: [DeepFace](https://github.com/serengil/deepface)
 
-This space captures facial verification which determines if 2 facial images are the same person and the facial attribute analysis which predicts age,gender, emotion and race. The attribute analysis for age and race is a hit and miss based on my personal experience and the reported test accuracy is 68% for race prediction
-The age prediction model got ± 4.65 MAE.
+This space captures facial verification which determines if 2 facial images are the same person and the facial attribute analysis which predicts age,gender, emotion and race. The attribute analysis for age and race is a hit and miss based on my personal experience and the reported test accuracy from the Github page is 68% for race prediction. The age prediction model got ± 4.65 MAE.
+
+The prediction models work better with images that mainly show the face.
 """
 
 models = ["VGG-Face", "Facenet", "Facenet512", "OpenFace", "DeepFace", "DeepID", "ArcFace", "Dlib", "SFace"]