Upload app.py

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+def wild_animal_classifier(x):
+    return x[0].isupper()
+
+learn = load_learner('export.pkl')
+
+categories = ('Puma', 'Tiger', 'Lion')
+
+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 = ['puma.jpg', 'tiger.jpg', 'lion.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=imgae, outputs=label, examples=examples)
+intf.launch(inline=False)