Update app.py

app.py

@@ -1,12 +1,19 @@
 from fastai.vision.all import *
+import gradio as gr
 learn=load_learner('model.pkl')
-is_black(x) : return x[0].isupper()
+is_black,_,probs = learn.predict(PILImage.create('black people.jpg'))
+print(f"This is a: {is_black}.")
+processed_output = print(f"Probability it's a black person: {probs[0]:.4f}")
+return processed_output
+
+
+#is_black(x) : return x[0].isupper()
 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')