Application

app.py

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+from fastbook import *
+import gradio.components as gr
+import gradio
+
+model = load_learner('model.pkl')
+
+categories = ("Egyptian Mau", "Persian Cat", "Sphynx Cat")
+
+def classify(im):
+    cat, idx, probs = model.predict(im)
+    return dict(zip(categories, map(float, probs)))
+
+img = gr.Image()
+label = gr.Label()
+examples = ["persian.jpg", "egypian.jpg", "sphynix.jpg"]
+
+intr = gradio.Interface(fn=classify, inputs=img, outputs=label)
+intr.launch(inline=False)