update app.py and add catVdogModel.pkl

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 from fastai.vision.all import *
 import skimage
 
-learn = load_learner('export.pkl')
+learn = load_learner('catVdogModel.pkl')
 
 labels = learn.dls.vocab
 def predict(img):
@@ -10,10 +10,8 @@ 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."
-article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
-examples = ['siamese.jpg']
+title = "Cat vs Dog Classifier"
+examples = ['Goldendoodle.jpg', 'labrador-puppy.jpg', 'siameseCat.jpg', 'tabbyCat.jpg']
 interpretation='default'
 enable_queue=True
 

catVdogModel.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be738f157906111732bb3b1b4f9d68920b52a9821aa663fcb28d85cee8aaba4d
+size 47042961