let's deploy to huggingface spaces

app.py

@@ -1,7 +1,20 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
+
+learn = load_learner("model.pkl")
+
+categories = ("Dog", "Cat")
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['dog.jpg', 'cat.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:93f064032f1fef125658e25b744279d1524ae5a1482fcba4b6c7f8e7cfacb927
+size 47063121