diff --git a/README.md b/README.md
index 120fe66..245309b 100644
--- a/README.md
+++ b/README.md
@@ -24,40 +24,33 @@ Read the text 'kids feeding and playing with the horse' to generate an text embe
  *Write the pipeline in simplified style*:
 
 ```python
-import towhee
+from towhee.dc2 import pipe, ops, DataCollection
 
-towhee.dc(['./demo_video.mp4']) \
-        .video_decode.ffmpeg(sample_type='uniform_temporal_subsample', args={'num_samples': 12}) \
-        .runas_op(func=lambda x: [y for y in x]) \
-        .clip4clip(model_name='clip_vit_b32', modality='video', device='cpu') \
-        .show()
+p = (
+    pipe.input('text') \
+        .map('text', 'vec', ops.video_text_embedding.clip4clip(model_name='clip_vit_b32', modality='text', device='cuda:1')) \
+        .output('text', 'vec')
+)
 
-towhee.dc(['kids feeding and playing with the horse']) \
-      .clip4clip(model_name='clip_vit_b32', modality='text', device='cpu') \
-      .show()
-```
-![](vect_simplified_video.png)   
-![](vect_simplified_text.png)   
+DataCollection(p('kids feeding and playing with the horse')).show()
 
-*Write a same pipeline with explicit inputs/outputs name specifications:*
+```
+![](text_emb_output.png)  
 
 ```python
-import towhee
-
-towhee.dc['path'](['./demo_video.mp4']) \
-        .video_decode.ffmpeg['path', 'frames'](sample_type='uniform_temporal_subsample', args={'num_samples': 12}) \
-        .runas_op['frames', 'frames'](func=lambda x: [y for y in x]) \
-        .clip4clip['frames', 'vec'](model_name='clip_vit_b32', modality='video', device='cpu') \
-        .show()
-
-towhee.dc['text'](["kids feeding and playing with the horse"]) \
-      .clip4clip['text','vec'](model_name='clip_vit_b32', modality='text', device='cpu') \
-      .select['text', 'vec']() \
-      .show()
-```
+from towhee.dc2 import pipe, ops, DataCollection
 
-![](vect_explicit_video.png)    
-![](vect_explicit_text.png)   
+p = (
+    pipe.input('video_path') \
+        .map('video_path', 'flame_gen', ops.video_decode.ffmpeg(sample_type='uniform_temporal_subsample', args={'num_samples': 12})) \
+        .map('flame_gen', 'flame_list', lambda x: [y for y in x]) \
+        .map('flame_list', 'vec', ops.video_text_embedding.clip4clip(model_name='clip_vit_b32', modality='video', device='cuda:2')) \
+        .output('video_path', 'flame_list', 'vec')
+)
+
+DataCollection(p('./demo_video.mp4')).show()
+```
+![](video_emb_ouput.png)   
 
 <br />
 
diff --git a/text_emb_output.png b/text_emb_output.png
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