Fri, Mar 24, 2023, 9:22 AM +08:00

app.py

@@ -9,5 +9,10 @@ def predict(img):
     pred, pred_idx, probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
+
+examples = ['siamese.jpg']
+interpretation='default'
+enable_queue=True
+
 gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)