Create app.py

app.py

@@ -0,0 +1,14 @@
+#/export
+learn=load_learner('model.pkl')
+categories=('Dog','Cat')
+def classify_image(img):
+  pred,ind,probs=learn.predict(img)
+  return dict(zip(categories,map(float,probs)))
+# !pip install gradio
+import gradio as gr
+image=gr.inputs.Image(shape=(192,192))
+label=gr.outputs.Label()
+
+def greet(name): return f"hello {name}"
+
+gr.Interface(fn=classify_image,inputs=image,outputs=label).launch()