Upload app.py

app.py

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+from fastbook import *
+from fastai.vision.widgets import *
+from time import sleep
+import gradio as gr
+
+learned = load_learner('export.pkl')
+
+categories = ('pink lady apple', 'red delicious apple',  'royal gala apple')
+def classify_image(img):
+    pred,idx,probs = learned.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['maca.jpg', 'maca2.jpg', 'maca3.jpg']
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)