using new model

app.py

@@ -2,10 +2,9 @@ import gradio as gr
 from fastai.vision.all import *
 
 
-learn = load_learner('cats2.pkl')
+learn = load_learner('cat.pkl')
 
-categories = ('siamese', 'british shorthair', 'ragdoll',
-              'maine coon', 'european shorthair', 'persian')
+categories = ('british shorthair', 'maine coon', 'european shorthair')
 
 
 def classify_image(img):
@@ -15,7 +14,7 @@ def classify_image(img):
 
 image = gr.inputs.Image(shape=(192, 192))
 label = gr.outputs.Label()
-examples = ['maine-coon.jpg', 'british.jpg', 'european.jpg']
+examples = ['british.jpg', 'maine-coon.jpg', 'european.jpg']
 
 
 iface = gr.Interface(fn=classify_image, inputs=image,