feat: update app.py

app.py

@@ -1,7 +1,34 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x):
+    return x[0].isupper()
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+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.jpg', 'cat.jpg', 'dunno.jpg']
+title = "Dogs V Cats Classifier"
+description = "A classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
+interpretation='default'
+enable_queue=True
+
+intf = gr.Interface(
+    fn=classify_image,
+    inputs=image,
+    outputs=label,
+    examples=examples,
+    title=title,
+    description=description,
+    interpretation=interpretation,
+    enable_queue=enable_queue
+)
+
+intf.launch(inline=False, share=True)