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app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner('model.pkl')
+
+title = "Pet Classifier"
+description = "A simple pet classifier that can classify images of pets into different categories."
+
+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))}
+
+demo = gr.Interface(fn=predict, inputs=gr.Image(type="pil"), outputs=gr.Label(num_top_classes=3))
+demo.launch()