export with nbdev

app/app.py

@@ -0,0 +1,28 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../app.ipynb.
+
+# %% auto 0
+__all__ = ['categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
+
+# %% ../app.ipynb 2
+from fastai.vision.all import *
+import PIL
+
+import gradio as gr
+
+
+def is_cat(x): return x[0].isupper()
+
+# %% ../app.ipynb 7
+categories= ('Dog', 'Cat')
+
+def classify_image(img):
+    pred,idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# %% ../app.ipynb 9
+image = gr.Image(height=192,width=192)
+label = gr.Label()  
+examples =['dog.jpg', 'cats.jpeg', 'dogs.png']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)