Upload app.py

app.py

@@ -1,7 +1,30 @@
+# import gradio as gr
+
+# def greet(name):
+#     return "Hello " + name + "!!"
+
+# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+# iface.launch()
+
+__all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
+
 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 classify_image(img):
+    pred, idx, probs =learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
 
-def greet(name):
-    return "Hello " + name + "!!"
+image= gr.inputsImage(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()
+intf = gr.Interface(fr=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)