Update app.py

app.py

@@ -7,8 +7,10 @@ import gradio as gr
 def input_img(img):
     learn=load_learner('model.pkl')
     race,_,probs = learn.predict(PILImage.create(img))
-    print(f"This is a: {race}.")
-    print(f"Probability it's a black person: {probs[0]:.4f}.\nProbability it's a white person: {probs[1]:.4f}")
+    #print(f"This is a: {race}.")
+    processed_output=(f"This is a: {race}./nProbability it's a black person: {probs[0]:.4f}.\nProbability it's a white person: {probs[1]:.4f}")
+    return processed_output
+    
 categories=('Black people','White people')
 def func_classi(img):
     pred,idx,probs=learn.predict(img)
@@ -18,6 +20,7 @@ image=gr.inputs.Image(shape=(192,192))
 label=gr.outputs.Label()
 examples=('Black people','White people')
 demo = gr.Interface(fn=func_classi, inputs="image", outputs="label")
+#demo = gr.Interface(fn=input_img, inputs="image", outputs="label")
 demo.launch(inline=False)
 
 #image=gr.inputs.Image(shape=(192,192))