diff --git a/modules/image/face_detection/pyramidbox_lite_mobile/README.md b/modules/image/face_detection/pyramidbox_lite_mobile/README.md
index e4f99608afa6ab5da46abd333eb1b8be0c5217d7..ebb65a4ee434bdafc62ee9eae8dc4f56fc4b0983 100644
--- a/modules/image/face_detection/pyramidbox_lite_mobile/README.md
+++ b/modules/image/face_detection/pyramidbox_lite_mobile/README.md
@@ -150,6 +150,9 @@
     print(r.json()["results"])
     ```
 
+- ### gradio app 支持
+
+  从 PaddleHub 2.3.1 开始支持使用链接 http://127.0.0.1:8866/gradio/pyramidbox_lite_mobile 在浏览器中访问 pyramidbox_lite_mobile 的 Gradio APP。
 
 ## 五、更新历史
 
@@ -165,6 +168,10 @@
 
   修复无法导出推理模型的问题
 
+* 1.4.0
+
+  添加 Gradio APP 支持
+
   - ```shell
-    $ hub install pyramidbox_lite_mobile==1.3.0
+    $ hub install pyramidbox_lite_mobile==1.4.0
     ```
diff --git a/modules/image/face_detection/pyramidbox_lite_mobile/README_en.md b/modules/image/face_detection/pyramidbox_lite_mobile/README_en.md
index 3c50825efe2039f9a45809c23ec9dc90e7ebc74c..d88ffc2449131cd82cdfd2c0f15a76c1d59e0e69 100644
--- a/modules/image/face_detection/pyramidbox_lite_mobile/README_en.md
+++ b/modules/image/face_detection/pyramidbox_lite_mobile/README_en.md
@@ -149,6 +149,8 @@
     print(r.json()["results"])
     ```
 
+- ### Gradio APP support
+  Starting with PaddleHub 2.3.1, the Gradio APP for pyramidbox_lite_mobile is supported to be accessed in the browser using the link http://127.0.0.1:8866/gradio/pyramidbox_lite_mobile.
 
 ## V.Release Note
 
@@ -163,7 +165,11 @@
 * 1.3.0
 
   Fix a bug of save_inference_model
-  
+
+* 1.4.0
+
+  Add Gradio APP support.
+
   - ```shell
-    $ hub install pyramidbox_lite_mobile==1.3.0
+    $ hub install pyramidbox_lite_mobile==1.4.0
     ```
diff --git a/modules/image/face_detection/pyramidbox_lite_mobile/data_feed.py b/modules/image/face_detection/pyramidbox_lite_mobile/data_feed.py
index a2cb2883fa07fa76749f26bbdf63298520da4fef..b2d51e206eed041be67124fdd2d5432dd999aa95 100644
--- a/modules/image/face_detection/pyramidbox_lite_mobile/data_feed.py
+++ b/modules/image/face_detection/pyramidbox_lite_mobile/data_feed.py
@@ -1,4 +1,3 @@
-# coding=utf-8
 import os
 import time
 from collections import OrderedDict
diff --git a/modules/image/face_detection/pyramidbox_lite_mobile/module.py b/modules/image/face_detection/pyramidbox_lite_mobile/module.py
index 2a550bb5fabd79e81e707f338146fbc8f10bd538..9f85b1c68b99c70c426ff5470a803e1e0ef21cb7 100644
--- a/modules/image/face_detection/pyramidbox_lite_mobile/module.py
+++ b/modules/image/face_detection/pyramidbox_lite_mobile/module.py
@@ -1,4 +1,3 @@
-# coding=utf-8
 from __future__ import absolute_import
 from __future__ import division
 
@@ -10,10 +9,10 @@ import numpy as np
 import paddle
 from paddle.inference import Config
 from paddle.inference import create_predictor
+
 from .data_feed import reader
 from .processor import base64_to_cv2
 from .processor import postprocess
-
 from paddlehub.module.module import moduleinfo
 from paddlehub.module.module import runnable
 from paddlehub.module.module import serving
@@ -24,10 +23,12 @@ from paddlehub.module.module import serving
             author="baidu-vis",
             author_email="",
             summary="PyramidBox-Lite-Mobile is a high-performance face detection model.",
-            version="1.3.0")
+            version="1.4.0")
 class PyramidBoxLiteMobile:
+
     def __init__(self):
-        self.default_pretrained_model_path = os.path.join(self.directory, "pyramidbox_lite_mobile_face_detection", "model")
+        self.default_pretrained_model_path = os.path.join(self.directory, "pyramidbox_lite_mobile_face_detection",
+                                                          "model")
         self._set_config()
         self.processor = self
 
@@ -35,8 +36,8 @@ class PyramidBoxLiteMobile:
         """
         predictor config setting
         """
-        model = self.default_pretrained_model_path+'.pdmodel'
-        params = self.default_pretrained_model_path+'.pdiparams'
+        model = self.default_pretrained_model_path + '.pdmodel'
+        params = self.default_pretrained_model_path + '.pdiparams'
         cpu_config = Config(model, params)
         cpu_config.disable_glog_info()
         cpu_config.disable_gpu()
@@ -188,3 +189,28 @@ class PyramidBoxLiteMobile:
                                           type=ast.literal_eval,
                                           default=0.6,
                                           help="confidence threshold.")
+
+    def create_gradio_app(self):
+        import gradio as gr
+        import tempfile
+        import os
+        from PIL import Image
+
+        def inference(image, shrink, confs_threshold):
+            with tempfile.TemporaryDirectory() as temp_dir:
+                self.face_detection(paths=[image],
+                                    use_gpu=False,
+                                    visualization=True,
+                                    output_dir=temp_dir,
+                                    shrink=shrink,
+                                    confs_threshold=confs_threshold)
+                return Image.open(os.path.join(temp_dir, os.listdir(temp_dir)[0]))
+
+        interface = gr.Interface(inference, [
+            gr.inputs.Image(type="filepath"),
+            gr.Slider(0.0, 1.0, 0.5, step=0.01),
+            gr.Slider(0.0, 1.0, 0.6, step=0.01)
+        ],
+                                 gr.outputs.Image(type="ndarray"),
+                                 title='pyramidbox_lite_mobile')
+        return interface
diff --git a/modules/image/face_detection/pyramidbox_lite_mobile/processor.py b/modules/image/face_detection/pyramidbox_lite_mobile/processor.py
index 2045f51c21be5a437c196ca86a41b6c2cf61d64d..b46b30136827a6ef01ce6198755956ff632a3310 100644
--- a/modules/image/face_detection/pyramidbox_lite_mobile/processor.py
+++ b/modules/image/face_detection/pyramidbox_lite_mobile/processor.py
@@ -1,12 +1,11 @@
-# coding=utf-8
 from __future__ import absolute_import
 from __future__ import division
 from __future__ import print_function
 
+import base64
 import os
 import time
 
-import base64
 import cv2
 import numpy as np
 from PIL import Image