Update README.md

README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
+# BLSP-Emo: Towards Empathetic Large Language-Speech Models via Self-Alignment
+
+Chen Wang, Minpeng Liao, Zhongqiang Huang,Junhong Wu, Chenqing Zong, Jiajun Zhang
+
+**Institute of Automation, Chinese Academy of Sciences**
+
+**Alibaba Group**
+
+<a href='https://www.modelscope.cn/studios/Decaderan/Blsp-Qwen-7B-Demo/summary'><img src='https://img.shields.io/badge/ModelScope-Demo-blueviolet'></a>
+<a href=''><img src='https://img.shields.io/badge/ModelScope-Checkpoint-blueviolet'></a>
+<a href=''><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Checkpoint-blue'></a> <a href='https://cwang621.github.io/blsp-emo.github.io'><img src='https://img.shields.io/badge/Project-Page-Green'></a>  <a href='https://arxiv.org/abs/2406.03872'><img src='https://img.shields.io/badge/Paper-Arxiv-red'> </a>
+
+
+## Introduction
+
+* BLSP-Emo is designed to enable an end-to-end speech-language model to understand emotions in speech and generate empathetic responses, using only existing ASR and SER data. 
+* BLSP-Emo is built based on Whisper-large-v2 and Qwen-7B-Chat.
+
+![architecture](figures/emotion_blsp.png)
+
+## Example
+
+![Demo](figures/emo-motivation.png)
+
+
+
+More examples can be found in the [project page](https://cwang621.github.io/blsp-emo.github.io). You can also try our model online at [modelscope](https://www.modelscope.cn/studios/Decaderan/Blsp-Qwen-7B-Demo/summary).
+
+
+
+## License
+* The license of our project is [Apache License 2.0]()
+* Our models are based on Qwen and Whisper. If you want to use our models, please do not violate the [MIT License](https://github.com/openai/whisper/blob/main/LICENSE) of whisper and the [License](https://github.com/QwenLM/Qwen/blob/main/LICENSE) of Qwen
+
+## Citation
+If you find our project useful, hope you can star our repo and cite our paper as follows:
+```
+@misc{wang2024blspemo,
+      title={BLSP-Emo: Towards Empathetic Large Speech-Language Models}, 
+      author={Chen Wang and Minpeng Liao and Zhongqiang Huang and Junhong Wu and Chengqing Zong and Jiajun Zhang},
+      year={2024},
+      eprint={2406.03872},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```