diff --git a/blip.py b/blip.py
index ae4847d..e224790 100644
--- a/blip.py
+++ b/blip.py
@@ -14,14 +14,15 @@
 
 import sys
 from pathlib import Path
+
+import torch
+from torchvision import transforms
+from torchvision.transforms.functional import InterpolationMode
+
 from towhee import register
 from towhee.operator.base import NNOperator, OperatorFlag
 from towhee.types.arg import arg, to_image_color
-import torch
-import ipdb
 from towhee.types.image_utils import from_pil, to_pil
-from torchvision import transforms
-from torchvision.transforms.functional import InterpolationMode
 
 @register(output_schema=['vec'])
 class Blip(NNOperator):
@@ -46,7 +47,7 @@ class Blip(NNOperator):
             ])
 
     def __call__(self, data):
-        ipdb.set_trace()
+        print('call')
         if self._modality == 'image':
             vec = self._inference_from_image(data)
         elif self._modality == 'text':
@@ -61,9 +62,6 @@ class Blip(NNOperator):
 
     @arg(1, to_image_color('RGB'))
     def _inference_from_image(self, img):
-        #img = to_pil(img)
-        #image = self.tfms(img).unsqueeze(0).to(self.device)
-        #image_features = self.model.encode_image(image)
         img = self._preprocess(img)
         caption = ''
         image_feature = self.model(img, caption, mode='image', device=self.device)[0,0]
@@ -74,7 +72,7 @@ class Blip(NNOperator):
         processed_img = self.tfms(img).unsqueeze(0).to(self.device)
         return processed_img
 
-    def _configs():
+    def _configs(self):
         config = {}
         config['blip_base'] = {} 
         config['blip_base']['weights'] = 'https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model_base.pth'