Update

Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>

README.md

@@ -18,21 +18,7 @@ To achieve higher accuracy in image classification, SWAG uses hashtags to perfor
 Load an image from path './towhee.jpg'
 and use the pretrained SWAG model 'vit_b16_in1k' to generate an image embedding. 
 
- *Write the pipeline in simplified style:*
-
-```python
-import towhee
-
-(
-    towhee.glob('./towhee.jpg')
-          .image_decode()
-          .image_embedding.swag(model_name='vit_b16_in1k')
-          .show()
-)
-```
-<img src="./result1.png" width="800px"/>
-
-*Write a same pipeline with explicit inputs/outputs name specifications:*
+*Write a pipeline with explicit inputs/outputs name specifications:*
 
 ```python
 import towhee
@@ -45,7 +31,7 @@ import towhee
           .show()
 )
 ```
-<img src="./result2.png" width="800px"/>
+<img src="./result.png" width="800px"/>
 
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