making instructions a bit clearer

app.py

@@ -25,8 +25,8 @@ def main():
         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."
+    title = "Cat Vs Dog Classifier"
+    description = "Will return true if it is a cat, false if it is a dog. 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>"
     interpretation='default'
     enable_queue=True