Update app.py

app.py

@@ -4,15 +4,15 @@ import skimage
 
 learn = load_learner('curlyhairmodel0.3.pkl')
 
-categories = ('Straight', 'Curly')
+categories = ('Curly', 'Straight')
 
 def predict(img):
     img = PILImage.create(img)
     pred,pred_idx,probs = learn.predict(img)
     return dict(zip(categories, map(float,probs)))
 
-title = "Pet Breed Classifier"
-description = "A pet breed classifier trained on the Oxford Pets dataset with fastai."
+title = "Hair Type Classifier"
+description = "A hair type classifier trained on the Oxford Pets dataset with fastai."
 examples = [['c1.jpeg'],['c2.jpeg'],['c3.jpeg'],
             ['c4.jpeg'],['c5.jpeg'],['c6.jpeg'],
             ['c7.jpeg'],['c9.jpeg'],['c10.jpeg'],