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Update introduction.py

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  1. introduction.py +9 -8
introduction.py CHANGED
@@ -39,13 +39,6 @@ top_md_4 = ("""我们在「LLM智能裁剪」模块中提供三种LLM调用方
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  """)
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  top_md_1_en = ("""
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- <div align="center">
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- <div style="display:flex; gap: 0.25rem;" align="center">
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- FunClip: <a href='https://github.com/alibaba-damo-academy/FunClip'><img src='https://img.shields.io/badge/Github-Code-blue'></a>
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- 🌟 Support Us: <a href='https://github.com/alibaba-damo-academy/FunClip/stargazers'><img src='https://img.shields.io/github/stars/alibaba-damo-academy/FunClip.svg?style=social'></a>
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- </div>
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- </div>
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-
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  Powered by Alibaba DAMO Academy's in-house developed and open-sourced [FunASR](https://github.com/alibaba-damo-academy/FunASR) toolkit and the Paraformer series models, offering open link to voice recognition, endpoint detection, punctuation prediction, timestamp prediction, speaker differentiation, and customization of hot words.
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  Accurate recognition, freely copy the required paragraphs, or set speaker labels, one-click clipping, adding subtitles
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  * Step1: Upload a video or audio file (or use the case below for a demo), then click **<font color="#f7802b">Recognize</font>** button
@@ -55,7 +48,15 @@ top_md_1_en = ("""
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  🔥 FunClip now integrates the smart editing functionality with large language models, choose an LLM model for a try~
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  """)
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- top_md_2_en = ("Access to the Modelscope creation space may be unstable due to simultaneous use by multiple users. It is recommended to deploy the code through the GitHub project yourself.")
 
 
 
 
 
 
 
 
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  top_md_3_en = ("""Visiting the FunASR project and paper can help you gain an in-depth understanding of the speech processing models used in ParaClipper:
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  <div align="center">
 
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  """)
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  top_md_1_en = ("""
 
 
 
 
 
 
 
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  Powered by Alibaba DAMO Academy's in-house developed and open-sourced [FunASR](https://github.com/alibaba-damo-academy/FunASR) toolkit and the Paraformer series models, offering open link to voice recognition, endpoint detection, punctuation prediction, timestamp prediction, speaker differentiation, and customization of hot words.
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  Accurate recognition, freely copy the required paragraphs, or set speaker labels, one-click clipping, adding subtitles
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  * Step1: Upload a video or audio file (or use the case below for a demo), then click **<font color="#f7802b">Recognize</font>** button
 
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  🔥 FunClip now integrates the smart editing functionality with large language models, choose an LLM model for a try~
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  """)
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+ top_md_2_en = ("""
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+ Access to the HuggingFace space may be unstable due to simultaneous use by multiple users. It is recommended to deploy the code through the GitHub project yourself.
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+ <div align="center">
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+ <div style="display:flex; gap: 0.25rem;" align="center">
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+ FunClip: <a href='https://github.com/alibaba-damo-academy/FunClip'><img src='https://img.shields.io/badge/Github-Code-blue'></a>
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+ 🌟 Support Us: <a href='https://github.com/alibaba-damo-academy/FunClip/stargazers'><img src='https://img.shields.io/github/stars/alibaba-damo-academy/FunClip.svg?style=social'></a>
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+ </div>
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+ </div>
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+ """)
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  top_md_3_en = ("""Visiting the FunASR project and paper can help you gain an in-depth understanding of the speech processing models used in ParaClipper:
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  <div align="center">