add example images

app.py

@@ -37,11 +37,9 @@ def inference(A,B):
       Xs = graph.get_tensor_by_name('decoder_1/g:0')
       X = graph.get_tensor_by_name('X:0')
       Y = graph.get_tensor_by_name('Y:0')
-  print("1")
   A_img, A_img_ = load_image(A)
   B_img, B_img_ = load_image(B)
   Xs_ = sess.run(Xs, feed_dict={X: A_img_, Y: B_img_})
-  print("2")
   output = deprocess(Xs_)[0]
   output = np.array(np.array(output)*255,dtype=np.uint8)
   # output = cv2.cvtColor(output, cv2.COLOR_RGB2BGR)
@@ -66,11 +64,21 @@ def makeupTransfer(arr1,arr2):
   makeup = "input/ref.png"
   inference(no_makeup, makeup)
   return cv2.cvtColor(cv2.imread("output/scaled_2x.png"), cv2.COLOR_BGR2RGB)
+examples = [
+            [,
+                'faces/no_makeup/xfsy_0521.png',
+                'faces/makeup/vFG756.png'],
+            [,
+                'faces/no_makeup/xfsy_0068.png',
+                'faces/makeup/XMY-136.png']
+]
 
 app = gr.Interface(fn=makeupTransfer,
              inputs=[gr.Image(label="Reference Image",type='numpy'),
                      gr.Image(label="Makeup Image",type='numpy')],
              outputs=gr.Image(label="Makeup Transfer Image",type='numpy'),
-             title="MakeUp Transfer APP")
+             title="MakeUp Transfer APP",
+             examples=examples
+             )
 
-app.launch(share=True)
+app.launch()