diff --git a/modelcenter/PLSC-ViT/APP/app.py b/modelcenter/PLSC-ViT/APP/app.py
index 8520015b00c60da5b04e6b42ad13b73b77c1f957..89e38d59d07cd94de59629dbc631f35df8cd8bbb 100644
--- a/modelcenter/PLSC-ViT/APP/app.py
+++ b/modelcenter/PLSC-ViT/APP/app.py
@@ -1,13 +1,20 @@
 import gradio as gr
 from predictor import Predictor
 
-
 model_path = "paddlecv://models/vit/v2.4/imagenet2012-ViT-B_16-224_infer.pdmodel"
 params_path = "paddlecv://models/vit/v2.4/imagenet2012-ViT-B_16-224_infer.pdiparams"
 label_path = "paddlecv://dataset/imagenet2012_labels.txt"
 
+predictor = None
+
+
 def model_inference(image):
-    predictor = Predictor(model_path=model_path, params_path=params_path, label_path=label_path)
+    global predictor
+    if predictor is None:
+        predictor = Predictor(
+            model_path=model_path,
+            params_path=params_path,
+            label_path=label_path)
     scores, labels = predictor.predict(image)
     json_out = {"scores": scores.tolist(), "labels": labels.tolist()}
     return image, json_out
@@ -22,13 +29,15 @@ with gr.Blocks() as demo:
 
     with gr.Column(scale=1, min_width=100):
 
-        img_in = gr.Image(value="https://plsc.bj.bcebos.com/dataset/test_images/cat.jpg",label="Input").style(height=200)
+        img_in = gr.Image(
+            value="https://plsc.bj.bcebos.com/dataset/test_images/cat.jpg",
+            label="Input")
 
         with gr.Row():
             btn1 = gr.Button("Clear")
             btn2 = gr.Button("Submit")
 
-        img_out = gr.Image(label="Output").style(height=200)
+        img_out = gr.Image(label="Output")
         json_out = gr.JSON(label="jsonOutput")
 
     btn2.click(fn=model_inference, inputs=img_in, outputs=[img_out, json_out])
diff --git a/modelcenter/PLSC-ViT/APP/download.py b/modelcenter/PLSC-ViT/APP/download.py
index 9fb8ba6490eff48899032e6f22878ffc9f7aea02..648d568e77a6ef9000c34a62acf772ebf983acb6 100644
--- a/modelcenter/PLSC-ViT/APP/download.py
+++ b/modelcenter/PLSC-ViT/APP/download.py
@@ -33,10 +33,10 @@ __all__ = [
     'get_data_path',
 ]
 
-WEIGHTS_HOME = osp.expanduser("~/.cache/paddlecv/models")
-CONFIGS_HOME = osp.expanduser("~/.cache/paddlecv/configs")
-DICTS_HOME = osp.expanduser("~/.cache/paddlecv/dicts")
-DATA_HOME = osp.expanduser("~/.cache/paddlecv/dataset")
+WEIGHTS_HOME = osp.expanduser("~/.cache/paddlecv/models/plsc")
+CONFIGS_HOME = osp.expanduser("~/.cache/paddlecv/configs/plsc")
+DICTS_HOME = osp.expanduser("~/.cache/paddlecv/dicts/plsc/")
+DATA_HOME = osp.expanduser("~/.cache/paddlecv/dataset/plsc")
 # dict of {dataset_name: (download_info, sub_dirs)}
 # download info: [(url, md5sum)]
 
@@ -68,7 +68,7 @@ def get_model_path(path):
     if not is_url(path):
         return path
     url = parse_url(path)
-    path, _ = get_path(url, WEIGHTS_HOME, path_depth=2)
+    path, _ = get_path(url, WEIGHTS_HOME, path_depth=3)
     return path
 
 
@@ -79,7 +79,7 @@ def get_data_path(path):
     if not is_url(path):
         return path
     url = parse_url(path)
-    path, _ = get_path(url, DATA_HOME, path_depth=2)
+    path, _ = get_path(url, DATA_HOME, path_depth=1)
     return path
 
 
@@ -162,7 +162,6 @@ def _download(url, path, md5sum=None):
             raise RuntimeError("Download from {} failed. "
                                "Retry limit reached".format(url))
 
-
         # NOTE: windows path join may incur \, which is invalid in url
         if sys.platform == "win32":
             url = url.replace('\\', '/')