foo

app.py

@@ -1,9 +1,23 @@
 import gradio as gr
+from fastai.vision.all import all
 
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('cats.pkl')
 
+categories = ('siamese', 'british shorthair', 'ragdoll',
+              'maine coon', 'european shorthair', 'persian')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['siamese.jpg', 'british.jpg', 'european.jpg']
+
+
+iface = gr.Interface(fn=classify_image, inputs=image,
+                     outputs=label, examples=examples)
 iface.launch()