Update app.py

app.py

@@ -1,9 +1,8 @@
 import cv2
 import numpy as np
-import os
 import paddle
-import paddle.optimizer
-from Generater import Generater,VGG19
+from Generater import Generater
+import gradio as gr
 
 
 generator = Generater()
@@ -12,8 +11,6 @@ generator = Generater()
 G_path ='Gmodel_state33003.pdparams'
 layer_state_dictg = paddle.load(G_path)
 generator.set_state_dict(layer_state_dictg)#导入训练好的参数文件
-import gradio as gr
-import cv2
 
 def style_transfer(content_img,style_img):
     g_input = content_img.astype('float32') / 127.5 - 1  # 归一化