[ADD]source code

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+categories = ('Vincent_van_Gogh', 'Leonardo_da_Vinci')
+learn = load_learner('painter.pkl')
+
+
+def classify_painter(img):
+    painter, _, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['davinci.jpeg', 'vangogh.jpeg', 'picasso.jpeg']
+
+iface = gr.Interface(fn=classify_painter, inputs=image,
+                     outputs=label, examples=examples)
+iface.launch(inline=False)

requirements.txt

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+!pip install -Uqq fastai