Add requirements.

README.md

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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+<!-- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference -->
  
-LLMLingua-2 is one of the branch from [LLMLingua Series](https://llmlingua.com/). Please check the links below for more information.
-<div style="display: flex; align-items: center;">
+LLMLingua-2 is a branch of work from project:
+# [LLMLingua Series | Effectively Deliver Information to LLMs via Prompt Compression](https://llmlingua.com/)
+<!-- <div style="display: flex; align-items: center;">
     <div style="width: 100px; margin-right: 10px; height:auto;" align="left">
         <img src="images/LLMLingua_logo.png" alt="LLMLingua" width="100" align="left">
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     <div style="flex-grow: 1;" align="center">
         <h2 align="center">LLMLingua Series | Effectively Deliver Information to LLMs via Prompt Compression</h2>
     </div>
-</div>
- 
-<p align="center">
+</div> -->
+<!-- <p align="center">
     | <a href="https://llmlingua.com/"><b>Project Page</b></a> |
     <a href="https://aclanthology.org/2023.emnlp-main.825/"><b>LLMLingua</b></a> |
     <a href="https://arxiv.org/abs/2310.06839"><b>LongLLMLingua</b></a> |
     <a href="https://arxiv.org/abs/2403."><b>LLMLingua-2</b></a> |
     <a href="https://huggingface.co/spaces/microsoft/LLMLingua"><b>LLMLingua Demo</b></a> |
     <a href="https://huggingface.co/spaces/microsoft/LLMLingua-2"><b>LLMLingua-2 Demo</b></a> |
-</p>
+</p> -->
+| [**Project Page**](https://llmlingua.com/) | [**LLMLingua**](https://aclanthology.org/2023.emnlp-main.825/) | [**LongLLMLingua**](https://arxiv.org/abs/2310.06839) | [**LLMLingua-2**](https://arxiv.org/abs/2403.12968) | [**LLMLingua Demo**](https://huggingface.co/spaces/microsoft/LLMLingua) | [**LLMLingua-2 Demo**](https://huggingface.co/spaces/microsoft/LLMLingua-2) |
 
- 
+Check the links above for more information.
 ## Brief Introduction
  
 **LLMLingua** utilizes a compact, well-trained language model (e.g., GPT2-small, LLaMA-7B) to identify and remove non-essential tokens in prompts. This approach enables efficient inference with large language models (LLMs), achieving up to 20x compression with minimal performance loss.

requirements.txt

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+llmlingua==0.2.1
+accelerate