Upload app.py

app.py

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+import gradio as gr 
+#| export (creating a gradio interface)
+from fastbook import *
+from fastai.vision.widgets import *
+from fastai.vision.all import *
+
+learn = load_learner("bear_model.pkl")
+categories = ('black', 'grizzly', 'teddy')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+# example images
+examples = ['blackbear.jpg', 'teddybear.jpg', 'grizzlybear.jpg']
+
+# define interface below 
+intf = gr.Interface(fn=classify_image, inputs = image, outputs = label, examples=examples)
+intf.launch(inline=False)