let's deploy to huggingface spaces

app.py

@@ -7,7 +7,7 @@ def classify_garbage(img):
     pred,idx,probs  = learn.predict(img)
     return(dict(zip(pred,map(float,probs))))
 
-image = gr.inputs.Image(shape = (224,224))
+image = gr.inputs.Image(shape = (128,128))
 label = gr.outputs.Label()
 title = "Garbage Classifier"
 description = "A Garbage classifier trained with fastai. Created as a demo for Gradio and HuggingFace Spaces."