Dog cat classifier example from fast AI course

app.py

@@ -1,9 +1,22 @@
-import gradio as gr
 
+from fastai.vision.all import *
+def is_cat(x): return x[0].isupper()
+
+learn = load_learner('model.pkl')
+
+categories = ('Dog', 'Cat')
 
-def greet(name):
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
     return "Hello " + name + "!!"
 
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+import gradio as gr
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['dog.jpg']
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 iface.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:163b6864a3d1f1dce6526e09b7f342a67f32dc5b1b2fb3d996cc16c1894f6f99
+size 47064766