diff --git a/README.md b/README.md
index 6277531..112259c 100644
--- a/README.md
+++ b/README.md
@@ -24,36 +24,26 @@ Read the text 'A teddybear on a skateboard in Times Square.' to generate an text
  *Write the pipeline in simplified style*:
 
 ```python
-import towhee
 
-towhee.glob('./teddy.jpg') \
-      .image_decode() \
-      .image_text_embedding.albef(model_name='albef_4m', modality='image') \
-      .show()
+from towhee.dc2 import pipe, ops, DataCollection
 
-towhee.dc(["A teddybear on a skateboard in Times Square."]) \
-      .image_text_embedding.albef(model_name='albef_4m', modality='text') \
-      .show()
-```
-<img src="./vec1.png" alt="result1" style="height:20px;"/>
-<img src="./vec2.png" alt="result2" style="height:20px;"/>
+img_pipe = (
+    pipe.input('url')
+    .map('url', 'img', ops.image_decode.cv2_rgb())
+    .map('img', 'vec', ops.image_text_embedding.albef(model_name='albef_4m', modality='image')) 
+    .output('img', 'vec')
+)
 
-*Write a same pipeline with explicit inputs/outputs name specifications:*
+text_pipe = (
+    pipe.input('text')
+    .map('text', 'vec', ops.image_text_embedding.albef(model_name='albef_4m', modality='text')) 
+    .output('text', 'vec')
+)
 
-```python
-import towhee
-
-towhee.glob['path']('./teddy.jpg') \
-      .image_decode['path', 'img']() \
-      .image_text_embedding.albef['img', 'vec'](model_name='albef_4m', modality='image') \
-      .select['img', 'vec']() \
-      .show()
-
-towhee.dc['text'](["A teddybear on a skateboard in Times Square."]) \
-      .image_text_embedding.albef['text','vec'](model_name='albef_4m', modality='text') \
-      .select['text', 'vec']() \
-      .show()
+DataCollection(img_pipe('./teddy.jpg')).show()
+DataCollection(text_pipe('A teddybear on a skateboard in Times Square.')).show()
 ```
+
 <img src="./tabular1.png" alt="result1" style="height:60px;"/>
 <img src="./tabular2.png" alt="result2" style="height:60px;"/>