add app.py and requirements.txt

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner('mode.pkl')
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['grizzly.jpg', 'black-bear.jpg', 'teddy-bear.jpg']
+
+categories = ('Grizzly Bear', 'Black Bear', 'Teddy Bear')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)
+

requirements.txt

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+gradio
+fastai