add generated app.py and requirements.txt

app.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: ../00_core.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'intf', 'classify_image']
+
+# %% ../00_core.ipynb 3
+from pathlib import Path
+from fastai.vision.all import *
+from fastai.vision.widgets import *
+import gradio as gr
+
+# %% ../00_core.ipynb 4
+learn = load_learner('export.pkl')
+
+# %% ../00_core.ipynb 5
+categories=['black', 'grizzly', 'teddy']
+ 
+def classify_image(img):
+    "classifies bear image as either a black, grizzly, or teddy bear"
+    pred,idx,props = learn.predict(img)
+    return dict(zip(categories, map(float, props)))
+
+# %% ../00_core.ipynb 7
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+# examples = ['do']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+intf.launch(inline=False)

requirements.txt

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+fastai