Upload app.py

app.py

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+version https://git-lfs.github.com/spec/v1
+oid sha256:94a95586fc417b6e28c88273f71000f399149454a01254e0755d0741ba973830
+size 150
+import gradio as gr
+from fastai.vision.all import *
+
+def is_cat(x): return x[0].isupper() 
+
+learn = load_learner('model.pkl')
+
+categories = ['Dog', 'Cat']
+
+def classify_img(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', 'dunno.jpg']
+
+iface = gr.Interface(fn=classify_img, inputs=image, outputs=label)
+iface.launch()