Update app.py

app.py

@@ -4,7 +4,7 @@ import dill
 
 def is_cat(x): return x[0].isupper()
 
-learn = load_learner('model.pkl', pickle_module=dill)
+learn = load_learner('model.pkl')
 
 
 categories = ('Dog', 'Cat')
@@ -20,23 +20,3 @@ examples = ['siamese.png']
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 intf.launch()
-
-
-# labels = learn.dls.vocab
-
-
-
-# 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>"
-
-
-# gr.Interface(
-#     fn=predict,
-#     inputs=gr.Image(shape=(512, 512)),  # Updated to newer Gradio syntax
-#     outputs=gr.Label(num_top_classes=3),  # Updated to newer Gradio syntax
-#     title=title,
-#     description=description,
-#     article=article,
-#     examples=examples
-# ).launch()