Update app.py

app.py

@@ -2,7 +2,8 @@ from fastai.vision.all import *
 import gradio as gr
 learner = load_learner('export.pkl')
 
-
+title = "Bird Species Classifier"
+description = "A bird species classifier trained on the BIRDS 400 dataset from Kaggle with fastai. Created as a demo for Gradio and HuggingFace Spaces."
 labels = learner.dls.vocab
 
 def predict(img):
@@ -11,7 +12,7 @@ def predict(img):
   return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 
-examples = ['1.jpg', '2.jpg', '3.jpg']
+examples = ['1.jpg', '2.jpg', '3.jpg', '4.jpg', '5.jpg', '6.jpg', '7.jpg', '8.jpg', '9.jpg', '10.jpg', '11.jpg', '12.jpg', '13.jpg', '14.jpg', '15.jpg']
 
 
 gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(224, 224)), outputs=gr.outputs.Label(num_top_classes=3), examples=examples).launch(share=True, debug=True)