Update app.py

app.py

@@ -2,15 +2,15 @@ import gradio as gr
 from fastai.vision.all import *
 import skimage
 
-learn = load_learner('cats_dogs_model.pkl')
+learn = load_learner('pet_model.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 = "Cat or Dog Classifier"
-description = "A cat or dog classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces, based on the blog post below."
+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, based on the blog post below."
 article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
 examples = ['persian.jpg']