Update app.py

app.py

@@ -9,9 +9,9 @@ def predict(img):
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-examples = ['/kaggle/input/butterfly-images40-species/test/ADONIS/1.jpg',
-           '/kaggle/input/butterfly-images40-species/test/AFRICAN GIANT SWALLOWTAIL/2.jpg',
-           '/kaggle/input/butterfly-images40-species/test/AMERICAN SNOOT/3.jpg']
+examples = ['adonis.jpg',
+           'atlas moth.jpg',
+           'american snoot.jpg']
 title = "ButterFly Image Classifier Classifier 🦋"
 description = "A ResNet18 feature extractor computer vision model to classify images of butterfly in 100 classes!."
 article = "[Chris Olande.](https://github.com/Chrisolande)"