Update app.py

app.py

@@ -3,15 +3,17 @@ import gradio as gr
 
 def is_cat(x): return x[0].isupper() 
 
+categories = ('Dog', 'Cat')
+
+learn = load_learner('model.pkl')
+
 def predict(img):
-    img = PILImage.create(img)
     pred,pred_idx,probs = learn.predict(img)
-    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+    return dict(zip(categories,map(float,probs)))
 
-learn = load_learner('model.pkl')
-labels = learn.dls.vocab
 
-input = gr.inputs.Image(shape=(512, 512))    
-output = gr.outputs.Label(num_top_classes=3)
+input = gr.inputs.Image(shape=(192, 192))    
+output = gr.outputs.Label()
+
 
-gr.Interface(fn=predict, inputs=input, outputs=output).launch(share=True)
+gr.Interface(fn=predict, inputs=input, outputs=output).launch(share=False)