Update app.py

app.py

@@ -4,9 +4,12 @@ import skimage as sk
 
 learn = load_learner('export.pkl')
 labels = learn.dls.vocab
+EXAMPLES_PATH = Path('./examples')
+examples = [f'{EXAMPLES_PATH}/{f.name}' for f in EXAMPLES_PATH.iterdir()]
+
 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))}
 
-gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)
+gr.Interface(fn=predict, examples=examples, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)