updated

app.py

@@ -1,14 +1,19 @@
 import gradio as gr
 from fastai.vision.all import *
 
+def is_cat(x): return x[0].isupper() 
+
+
 learn = load_learner('model.pkl')
+
 categories =('dog','cat')
 
 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.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
 examples = ['dog.jpg','cat.jpg','dunno.jpg']
 
 demo = gr.Interface(fn=classify_image, inputs=image, outputs=label , examples=examples)