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top_md_1 = ("""
<div 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>
🌟支持我们: <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>
</div>
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基于阿里巴巴通义实验室自研并开源的[FunASR](https://github.com/alibaba-damo-academy/FunASR)工具包及Paraformer系列模型及语音识别、端点检测、标点预测、时间戳预测、说话人区分、热词定制化开源链路
准确识别，自由复制所需段落，或者设置说话人标识，一键裁剪、添加字幕
* Step1: 上传视频或音频文件（或使用下方的用例体验），点击 **<font color="#f7802b">识别</font>** 按钮
* Step2: 复制识别结果中所需的文字至右上方，或者右设置说话人标识，设置偏移与字幕配置（可选）
* Step3: 点击 **<font color="#f7802b">裁剪</font>** 按钮或 **<font color="#f7802b">裁剪并添加字幕</font>** 按钮获得结果
🔥 FunClip现在集成了大语言模型智能剪辑功能，选择LLM模型进行体验吧~
""")
top_md_2 = ("通过Modelscope创空间的访问可能由于多人同时使用的原因不稳定，推荐通过github项目中的代码自己部署。")
top_md_3 = ("""访问FunASR项目与论文能够帮助您深入了解ParaClipper中所使用的语音处理相关模型：
<div align="center">
<div style="display:flex; gap: 0.25rem;" align="center">
FunASR: <a href='https://github.com/alibaba-damo-academy/FunASR'><img src='https://img.shields.io/badge/Github-Code-blue'></a>
FunASR Paper: <a href="https://arxiv.org/abs/2305.11013"><img src="https://img.shields.io/badge/Arxiv-2305.11013-orange"></a>
🌟Star FunASR: <a href='https://github.com/alibaba-damo-academy/FunASR/stargazers'><img src='https://img.shields.io/github/stars/alibaba-damo-academy/FunASR.svg?style=social'></a>
</div>
</div>
""")
top_md_4 = ("""我们在「LLM智能裁剪」模块中提供三种LLM调用方式，
1. 选择阿里云百炼平台通过api调用qwen系列模型，此时需要您准备百炼平台的apikey，请访问[阿里云百炼](https://bailian.console.aliyun.com/#/home)；
2. 选择GPT开头的模型即为调用openai官方api，此时需要您自备sk与网络环境；
3. [gpt4free](https://github.com/xtekky/gpt4free?tab=readme-ov-file)项目也被集成进FunClip，可以通过它免费调用gpt模型；
其中方式1与方式2需要在界面中传入相应的apikey
方式3而可能非常不稳定，返回时间可能很长或者结果获取失败，可以多多尝试或者自己准备sk使用方式1
""")
top_md_1_en = ("""
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.
Accurate recognition, freely copy the required paragraphs, or set speaker labels, one-click clipping, adding subtitles
* Step1: Upload a video or audio file (or use the case below for a demo), then click **<font color="#f7802b">Recognize</font>** button
* Step2: Copy the required text from the recognition results to the top right, or set speaking indicators on the right and configure offset and subtitle settings (optional)
* Step3: Click the **<font color="#f7802b">Clip</font>** button or **<font color="#f7802b">Clip and Add Subtitles</font>** button to get the result
🔥 FunClip now integrates the smart editing functionality with large language models, choose an LLM model for a try~
""")
top_md_2_en = ("""
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.
<div align="center">
<div style="display:flex; gap: 0.25rem;" align="center">
FunClip: <a href='https://github.com/alibaba-damo-academy/FunClip'><img src='https://img.shields.io/badge/Github-Code-blue'></a>
🌟 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>
</div>
</div>
""")
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:
<div align="center">
<div style="display:flex; gap: 0.25rem;" align="center">
FunASR: <a href='https://github.com/alibaba-damo-academy/FunASR'><img src='https://img.shields.io/badge/Github-Code-blue'></a>
FunASR Paper: <a href="https://arxiv.org/abs/2305.11013"><img src="https://img.shields.io/badge/Arxiv-2305.11013-orange"></a>
🌟Star FunASR: <a href='https://github.com/alibaba-damo-academy/FunASR/stargazers'><img src='https://img.shields.io/github/stars/alibaba-damo-academy/FunASR.svg?style=social'></a>
</div>
</div>
""")
top_md_4_en = ("""We provide three ways to use LLMs in the 'LLM Clipping' module:
1. Choose Alibaba Cloud's BaiLian platform to call qwen series models via API, for which you need to prepare the BaiLian platform's apikey. Please visit [Alibaba Cloud BaiLian](https://bailian.console.aliyun.com/#/home);
2. Choosing models that start with GPT denotes the use of the official OpenAI API, for which you need to provide your own sk and network environment;
3. The [gpt4free](https://github.com/xtekky/gpt4free?tab=readme-ov-file) project is also integrated into FunClip, allowing free use of the gpt model;
Both methods 1 and 2 require you to enter the respective apikey in the interface.
Method 3 may be highly unstable, with potential long return times or failure to retrieve results. You may try multiple times or prepare your own sk to use method 1.
""")
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