Fix(LLMLingua): fix the Gradio version

README.md

@@ -4,7 +4,7 @@ emoji: 📝
 colorFrom: red
 colorTo: yellow
 sdk: gradio
-sdk_version: 3.47.1
+sdk_version: 4.36.0
 app_file: app.py
 pinned: false
 license: mit
@@ -56,4 +56,4 @@ LongLLMLingua mitigates the 'lost in the middle' issue in LLMs, enhancing long-c
 LLMLingua-2, a small-size yet powerful prompt compression method trained via data distillation from GPT-4 for token classification with a BERT-level encoder, excels in task-agnostic compression. It surpasses LLMLingua in handling out-of-domain data, offering 3x-6x faster performance.
 
 - [LLMLingua-2: Context-Aware Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression](https://arxiv.org/abs/2403.) (Under Review)<br>
-  _Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin, Victor Ruhle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang_
+  _Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin, Victor Ruhle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang_