Create app.py

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+#  def is_cat(x): return x[0].isupper()
+
+import pathlib
+temp = pathlib.PosixPath
+pathlib.PosixPath = pathlib.WindowsPath
+
+learn = load_learner('export.pkl')
+
+categories = ('black', 'grizzly', 'teddy')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.components.Image(type="pil", height=192, width=192)
+label = gr.Label()
+examples = ['bear.jpg', 'cat.jpg', 'dog.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)