cat or dog ? in production

machine learning in production .
determine if a given image is a cat or a dog or donno.

app.py

@@ -1,6 +1,20 @@
-import gradio as gr 
-def greet(name):
-    return "Hello " + name + "!!"
+import fastai.vision.all import *
+import gradio as gr
 
-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.input.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['dog.jpg','cat.jpg','dunno.jpg']
+
+intf = gr.Interface(fn=classify_image,inputs=image,output=label, examples= examples)
+intf.launch(inline=false)