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app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: gradio-bear-classifier.ipynb.
+
+# %% auto 0
+__all__ = ['label_function', 'learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% gradio-bear-classifier.ipynb 4
+from fastai.vision.all import *
+import gradio as gr
+
+# %% gradio-bear-classifier.ipynb 5
+label_function = parent_label
+
+# %% gradio-bear-classifier.ipynb 7
+learn = load_learner('export.pkl')
+
+# %% gradio-bear-classifier.ipynb 9
+categories = ("grizzly", "black", "teddy")
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# %% gradio-bear-classifier.ipynb 11
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['grizzly.jpeg', 'black.jpeg', 'teddy.jpeg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)
+
+# %% gradio-bear-classifier.ipynb 23
+from fastai.vision.all import *
+import gradio as gr
+
+# %% gradio-bear-classifier.ipynb 24
+label_function = parent_label
+
+# %% gradio-bear-classifier.ipynb 26
+learn = load_learner('bear-classifier.pkl')
+
+# %% gradio-bear-classifier.ipynb 28
+categories = ("black", "grizzly", "teddy")
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# %% gradio-bear-classifier.ipynb 30
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['grizzly.jpeg', 'black.jpeg', 'teddy.jpeg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

bear-classifier.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4918fa6ff86ceb36006b3ea34e51dfbbd54735c4864738ced31cba1b36af5163
+size 46973263