Update app.py

app.py

@@ -7,7 +7,7 @@ print(f"Probability it's a black person: {probs[0]:.4f}")
 
 
 #is_black(x) : return x[0].isupper()
-categories=('White people','Black people')
+categories=('Black people','White people')
 def func_classi(img):
   pred,idx,probs=learn.predict(img)
   return dict(zip(categories,map(float,probs)))
@@ -15,6 +15,6 @@ def func_classi(img):
 
 image=gr.inputs.Image(shape=(192,192))
 label=gr.outputs.Label()
-examples=('White people','Black people')
+examples=('Black people','White people')
 demo = gr.Interface(fn=func_classi, inputs="image", outputs="label")
 demo.launch(inline=False)