add code

app.py

@@ -1,7 +1,23 @@
+#| export
+
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper() # need this redefinition because the learner uses this function
+
+learn = load_learner('model.pkl')
+
+categories = ('Dog', 'Cat')
+
+# turn the output into a dict with categories and probabilities
+def classify_image(img): 
+    pred, index, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+    
+# gradio interface
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+interface = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples)
+interface.launch(inline = False)