examples

app.py

@@ -10,10 +10,10 @@ def predict(img):
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-title = "StoneFruit Classifier"
-description = "Never confuse a peach with a plum again"
+title = "StoneFruit Classifier (now with Plums!)"
+description = "Never embarrasingly confuse a peach with a nectarine again"
 #article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
-examples = ['peachy_beachy.jpg']
+examples = ['peachy.jpg','plumy.jpg','nectariney.jpg']
 interpretation='default'
 
 gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples,interpretation=interpretation).launch()