add back

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+# def greet(name):
+#     return "Hello " + name + "!!" + "and hello world 123f"
+
+# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+# iface.launch()
+
+def is_cat(x): return x[0].isupper() 
+learn = load_learner('model.pkl')
+categories = ('Dog', 'Cat')
+
+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 = ['dog.png', 'cat.png', 'dunno.png']
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch()