let's deploy to huggingface spaces

app.py

@@ -1,7 +1,23 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: is_a_cat.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'labels', 'is_cat', 'predict']
+
+# %% is_a_cat.ipynb 1
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper() 
+
+# %% is_a_cat.ipynb 2
+learn = load_learner('model.pkl')
+
+# %% is_a_cat.ipynb 3
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# %% is_a_cat.ipynb 4
+gr.Interface(fn=predict, inputs="image", outputs="label").launch(share=False)