Update app.py

app.py

@@ -2,16 +2,18 @@
 import gradio as gr
 from fastai.vision.all import *
 
+def is_cat(x):
+    return x[0].isupper()
+
+
 categories = ('Dog', 'Cat')
 learn = load_learner('model.pkl')
 def classify_image(img):
     pred , idx , probs = learn.predict(img)
     return dict(zip(categories , map(float,probs)))
 
-
-
-image = gr.inputs.image(shape=(192 ,192))
-label = gr.outputs.Label()
+image = gr.Image()
+label = gr.Label()
 examples = ['dog.jpg', 'cat.jpg', 'dumo.jpg']
 demo = gr.Interface(fn=classify_image, inputs=image, outputs= label)
 demo.launch(inline = False)