Working model?

app.py

@@ -1,7 +1,18 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+learn = load_learner('model.pkl')
+
+categories = ('Dog', 'Cat')
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    reutnr dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, exmaples=examples)
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1d673a5d27696ba2f248ce82ec0a57b7653ccef636f59e99fb918e64cb31b6b9
+size 47068862