diff --git a/modules/image/Image_editing/colorization/deoldify/README.md b/modules/image/Image_editing/colorization/deoldify/README.md
index 30221d110..8d17d9a14 100644
--- a/modules/image/Image_editing/colorization/deoldify/README.md
+++ b/modules/image/Image_editing/colorization/deoldify/README.md
@@ -162,6 +162,8 @@
       cv2.imwrite('/PATH/TO/SAVE/IMAGE', img)
       ```
 
+- ### Gradio APP 支持
+  从 PaddleHub 2.3.1 开始支持使用链接 http://127.0.0.1:8866/gradio/deoldify 在浏览器中访问 deoldify 的 Gradio APP。
 
 ## 五、更新历史
 
@@ -177,6 +179,10 @@
 
   移除 Fluid API
 
+* 1.2.0
+
+  添加 Gradio APP 支持
+
   ```shell
-  $ hub install deoldify == 1.1.0
+  $ hub install deoldify == 1.2.0
   ```
diff --git a/modules/image/Image_editing/colorization/deoldify/README_en.md b/modules/image/Image_editing/colorization/deoldify/README_en.md
index c08d1a68e..5ffd509ad 100644
--- a/modules/image/Image_editing/colorization/deoldify/README_en.md
+++ b/modules/image/Image_editing/colorization/deoldify/README_en.md
@@ -161,6 +161,8 @@
         cv2.imwrite('/PATH/TO/SAVE/IMAGE', img)
         ```
 
+- ### Gradio APP support
+  Starting with PaddleHub 2.3.1, the Gradio APP for deoldify is supported to be accessed in the browser using the link http://127.0.0.1:8866/gradio/deoldify.
 
 ## V. Release Note
 
@@ -176,6 +178,10 @@
 
   Remove Fluid API
 
+* 1.2.0
+
+  Add Gradio APP support
+
   ```shell
-  $ hub install deoldify == 1.1.0
+  $ hub install deoldify == 1.2.0
   ```
diff --git a/modules/image/Image_editing/colorization/deoldify/module.py b/modules/image/Image_editing/colorization/deoldify/module.py
index bcf896f49..790dc2b4e 100644
--- a/modules/image/Image_editing/colorization/deoldify/module.py
+++ b/modules/image/Image_editing/colorization/deoldify/module.py
@@ -33,7 +33,7 @@
             author="paddlepaddle",
             author_email="",
             summary="Deoldify is a colorizaton model",
-            version="1.1.0")
+            version="1.2.0")
 class DeOldifyPredictor(nn.Layer):
 
     def __init__(self, render_factor: int = 32, output_path: int = 'output', load_checkpoint: str = None):
@@ -163,3 +163,18 @@ def serving_method(self, images, **kwargs):
         results = self.run_image(img=images_decode)
         results = U.cv2_to_base64(results)
         return results
+
+    def create_gradio_app(self):
+        import gradio as gr
+
+        def inference(image):
+            img, _ = self.predict(image.name)
+            return img
+
+        title = "DeOldify"
+        interface = gr.Interface(inference,
+                                 inputs=gr.inputs.Image(type="file"),
+                                 outputs=gr.outputs.Image(type="numpy"),
+                                 title=title,
+                                 allow_flagging='never')
+        return interface