Initial

app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
+
+# %% auto 0
+__all__ = ['learner', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% ../app.ipynb 2
+from fastai.vision.all import *
+import gradio as gr
+
+# def is_cat(x):
+#     x[0].is_upper()
+
+# %% ../app.ipynb 5
+learner = load_learner("export2.pkl")
+
+# %% ../app.ipynb 7
+categories = ("black", "grizzly", "teddy")
+
+def classify_image(im):
+    pred, idx, probs = learner.predict(im)
+    return dict(zip(categories, map(float, probs)))
+    
+
+# %% ../app.ipynb 11
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ["teddy.jpg", "grizzly.jpg", "black.jpg"]
+
+#intf = gr.Interface(fn=classify_image, inputs="image", outputs="label", examples=examples)
+#intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)