app.py

app.py

@@ -0,0 +1,11 @@
+categories=('white people','black people')
+def func_classi(img):
+  pred,idx,probs=learn.predict(img)
+  return dict(zip(categories,map(float,probs)))
+
+import gradio as gr
+image=gr.inputs.Image(shape=(192,192))
+label=gr.outputs.Label()
+examples=('white people','black people')
+demo = gr.Interface(fn=func_classi, inputs="image", outputs="label")
+demo.launch(inline=False,share=True)