Added Files

app.py

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+import gradio as gr
+from fastai.vision.ai import *
+
+def is_cat(x): returnx[0].isupper()
+
+learn = load_learner('model.pk1')
+
+categories = ('Dog', 'Cat')
+
+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 = ['dog.jpg', 'cat.jpg', 'bear.jpg', 'bird.jpg', 'forest.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)
+
+