Upload folder using huggingface_hub

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 = "Pet Breed Classifier"
-description = "A pet breed classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
+title = "Pen vs Pencil Identifier"
+description = "Tells you whether something is a pen or a pencil."
 article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
-examples = ['pen.jpg']
+examples = ['pen.jpg', 'pencil.jpg']
 interpretation='default'
 enable_queue=True