Update README.md

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README.md

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 <font size=7><div align='center'><b>LISA</b>: Large <b>L</b>anguage <b>I</b>nstructed <b>S</b>egmentation <b>A</b>ssistant</div></font>
 
-<font size=7><div align='center' > <a href=https://arxiv.org/pdf/2308.00692.pdf>**Paper**</a> | <a href="https://huggingface.co/xinlai">**Models**</a> | [**Training**](#training) | [**Inference**](#inference) | [**Dataset**](#dataset) | <a href="http://103.170.5.190:7860/">**Online Demo**</a></div></font>
+<font size=7><div align='center' > <a href=https://arxiv.org/pdf/2308.00692.pdf>**Paper**</a> | <a href="https://huggingface.co/xinlai">**Models**</a> | [**Training**](#training) | [**Inference**](#inference) | [**Local Deployment**](#deployment) | [**Dataset**](#dataset) | <a href="http://103.170.5.190:7860/">**Online Demo**</a></div></font>
 
 <!-- <p align="center"> <img src="imgs/teaser.jpg" width="100%"> </p> -->
 
@@ -253,8 +253,7 @@ After that, input the text prompt and then the image path. For example，
 The results should be like:
 <p align="center"> <img src="imgs/example1.jpg" width="22%"> <img src="vis_output/example1_masked_img_0.jpg" width="22%"> <img src="imgs/example2.jpg" width="25%"> <img src="vis_output/example2_masked_img_0.jpg" width="25%"> </p>
 
-## Local Deployment
-
+## Deployment
 ```
 CUDA_VISIBLE_DEVICES=0 python app.py --version='xinlai/LISA-13B-llama2-v1 --load_in_4bit'
 CUDA_VISIBLE_DEVICES=0 python app.py --version='xinlai/LISA-13B-llama2-v1-explanatory --load_in_4bit'