feat: added cloud models and images

app.py

@@ -30,8 +30,8 @@ cloud_categories = (
 )
 
 cloud_examples = [image_path / f"{c}.jpg" for c in cloud_categories]
-cloud_examples
 
+cloud_learner = load_learner(model_path/'cloudmodel.pkl')
 
 def is_cat(x): return x[0].isupper()
 
@@ -47,5 +47,5 @@ image= gr.inputs.Image(shape=(192, 192))
 label = gr.outputs.Label()
 examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
 
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=cloud_examples)
 intf.launch(inline=False)