added save

app.py

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+from fastai.vision.all import * 
+import gradio as gr
+
+def is_glaucoma(x): return x[6] == 'g'
+
+learn = load_learner('model2.pkl')
+
+categories = ('Glaucoma', 'not Glaucoma')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.components.Image(height=192, width=192)
+label = gr.components.Label()
+examples = ['glaucoma.jpg', 'not glaucoma.jpg']
+
+
+intf=gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

model2.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8d5853853f94517f360a04b4891283a195440f25d5e8745e815d552c563744d7
+size 46968333