george app

app.py

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+import gradio as gr
+from fastai.vision.all import load_learner
+
+model = load_learner('export.pkl')
+
+categories = ('george', 'not_george')
+
+def classify_bird(img):
+    pred, idx, probs = model.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(256, 256))
+label = gr.outputs.Label(num_top_classes=5)
+
+examples = ['george1.jpeg', 'george2.jpg', 'george3.jpeg', 'not_george1.jpg', 'not_george2.jpg', 'not_george3.jpg']
+
+iface = gr.Interface(
+    fn=classify_bird,
+    inputs=image, 
+    outputs=label, 
+    examples=examples, 
+    title='George Classifier', 
+    description='Determines whether an image is of george',
+    allow_flagging='never'
+)
+iface.launch()

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:9f9a40c1640c5f84c8e6c616384689eb8a83eaf3b97c8848b053722c70ad11b7
+size 46959083