[add]

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+__all__ = ['bart_homer', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
+
+def bart_homer(x): return x[0].isupper()
+
+learn = load_learner('model.pkl')
+
+categories = ('Bart', 'Homer')
+
+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 = ['bart.png', 'homer.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:596047f66d7d7c577e38665f6bfe1b5f99482c307de0dd5f1ce61c69b7f3c3c0
+size 10992026

requirements.txt

@@ -0,0 +1 @@
+fastai