usefull update

Dog.jpg:Zone.Identifier

@@ -0,0 +1,4 @@
+[ZoneTransfer]
+ZoneId=3
+ReferrerUrl=https://www.dogsforgood.org/app/uploads/2020/06/Dogs-For-Good-October-22-2019-308.jpg
+HostUrl=https://www.dogsforgood.org/app/uploads/2020/06/Dogs-For-Good-October-22-2019-308.jpg

app.py

@@ -1,7 +1,25 @@
-import gradio as gr
-
-def greet(name):
-    return "Hello " + name + "!!"
-
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# AUTOGENERATED! DO NOT EDIT! File to edit: ../02x-prototype_gradio_interface.ipynb.
+
+# %% auto 0
+__all__ = ['learner', 'classes', 'examples', 'interface', 'is_cat', 'predict']
+
+# %% ../02x-prototype_gradio_interface.ipynb 1
+import gradio as gr
+from fastai.vision.all import *
+def is_cat(x):
+    return x[0].isupper()
+
+# %% ../02x-prototype_gradio_interface.ipynb 2
+learner = load_learner('model.pkl')
+
+# %% ../02x-prototype_gradio_interface.ipynb 5
+classes = ('Dog', 'Cat')
+def predict(img):
+    label, size, probs = learner.predict(img)
+    return dict(zip(classes, map(float, probs)))
+
+
+# %% ../02x-prototype_gradio_interface.ipynb 6
+examples = ["Dog.jpg", "Cat.jpg", "Cat2.jpg", "dunno.jpg"]
+interface = gr.Interface(fn=predict, inputs='image', outputs='label', examples=examples)
+interface.launch()

dunno.jpg:Zone.Identifier

@@ -0,0 +1,4 @@
+[ZoneTransfer]
+ZoneId=3
+ReferrerUrl=https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRLpfHHL0DCw6guvT_B8ccRu-5TO1a98G63Ag&s
+HostUrl=https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRLpfHHL0DCw6guvT_B8ccRu-5TO1a98G63Ag&s

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cef7f9ccda46c0f307660ad11658439f955c96fbe5a55a74e883f402df7f7049
+size 47064894