Create app.py

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+def is_cat(x): return x[0].isupper()
+
+learn= load_learner('model_cat_breed.pkl')
+
+categories = ('Abyssinian','Bengal','Birman','Bombay','British Shorthair','Egyptian Mau','Main Coon','Persian','Ragdoll','Russian Blue','Siamese','Sphynx')
+
+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 = ['bengal.jpg','siamese.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)