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app.py

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+
+__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'intf']
+
+# Cell
+from fastai.vision.all import *
+import gradio as gr
+
+
+# Cell
+learn = load_learner('model.pkl')
+
+# Cell
+categories = ('southern-leaf-blight', 'healthy', 'northern-leaf-blight', 'rust')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# Cell
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+intf.launch(inline=False)

requirements.txt

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+fastai
+