add panda jpg

app.py

@@ -18,10 +18,10 @@ def 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."
+title = "Cat or Dog Classifier"
+description = "Classifier to determine if a photo is a cat or not."
 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.PNG", "poodle.jpg"]
+examples = ["siamese.PNG", "poodle.jpg", "panda.jpg"]
 interpretation = "default"
 enable_queue = True
 
@@ -34,5 +34,4 @@ gr.Interface(
     article=article,
     examples=examples,
     interpretation=interpretation,
-    enable_queue=enable_queue,
-).launch()
+).launch(enable_queue=enable_queue)