added title, description, and examples

app.py

@@ -3,10 +3,14 @@ import gradio as gr
 import skimage
 
 learn = load_learner('export.pkl')
+
 labels = learn.dls.vocab
 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 from Tanishq's tutorial"
+examples = ['mainecoon.jpg','retriever.webp']
 enable_queue=True
-gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3),enable_queue=enable_queue).launch()
+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,enable_queue=enable_queue).launch()