Update app.py

app.py

@@ -3,11 +3,12 @@ import gradio as gr
 
 learn = load_learner('model.pkl')
 categories = ('chickenpox', 'cowpox', 'healthy', 'measles', 'monkeypox', 'smallpox')
+examples = ['ch_0001.jpg', 'co_0001.jpg', 'he_0001.jpg', 'mo_0001.jpg', 'sm_0001.jpg']
 labels = learn.dls.vocab
 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, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3), examples=examples).launch(share=True)