added app.py and example images

app.py

@@ -0,0 +1,31 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_teddy', 'classify_image']
+
+# %% ../app.ipynb 1
+from fastai.vision.all import *
+import gradio as gr
+
+# %% ../app.ipynb 2
+def is_teddy(x):
+    return x[0].isupper()
+
+# %% ../app.ipynb 5
+learn = load_learner('bearClassifier.pkl')
+
+# %% ../app.ipynb 8
+categories = ('grizzly', 'black', 'teddy')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# %% ../app.ipynb 10
+image = gr.components.Image()
+label = gr.components.Label()
+examples = ['images/teddy.jpg', 'images/black.jpg', 'images/grizzly.jpg']
+
+# %% ../app.ipynb 11
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)