model + examples + frontend

app.py

@@ -1,7 +1,23 @@
 import gradio as gr
+from fastai.vision.all import *
+
+from fastbook import *
 
 def greet(name):
     return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+learn = load_learner('bear-model.pkl')
+
+categories = ('Grizzly', 'Black', 'Teddy')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(224,224))
+label = gr.outputs.Label()
+
+examples = ['black.jpeg', 'grizzly.jpeg', 'teddy.jpeg']
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 iface.launch()

bear-model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2d767a1631d89d075cf4db7c6cab59195d457c10d9e9cb8977ad4ce85a5d827a
+size 46970767