fix format

app.py

@@ -19,12 +19,11 @@ low_confidence_alert = "Cannot Detect Emotion"
 for (x, y, w, h) in faces:
 	face = gray[y:y+h, x:x+w]
 	face = cv2.resize(face, (48, 48), interpolation = cv2.INTER_AREA)
-    if np.sum([face])!=0:
+	if np.sum([face])!=0:
     	face = face.astype('float')/255.0
     	face = tf.keras.utils.img_to_array(face)
     	face = np.expand_dims(face, axis=0)
     	prediction = model.predict(face)
-
     	if any(prob >.5 for prob in prediction[0]):
     		emotion = emotions[np.argmax(prediction)]
     		cv2.putText(frame, emotion, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX, 1, (128, 128, 0), 2)