docs: update

app.py

@@ -48,28 +48,30 @@ with app:
             gr.Markdown(value="""
                 # sovits-emu-voice-transform ｜ 可以变成凤笑梦的在线变声器
 
-                ---
-
                 [![Visitors](https://api.visitorbadge.io/api/visitors?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FMashiroSA%2Fsovits-emu-voice-transform&labelColor=%23f47373&countColor=%23555555)](https://visitorbadge.io/status?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FMashiroSA%2Fsovits-emu-voice-transform)
-
-                _Modified from public demo based on so-vits-svc 4.0. The dialogue training model based on the role Otori Emu has shown good results in dialogue, however the vocal of music conversion is not as expected. Only authorized running on Hugging Face, with free instance conversion is much slower. Please be patient._
-                
-                基于so-vits-svc 4.0的公开demo修改而成。所使用的基于角色鳳えむ的对话训练的模型，在对话中具有良好效果，乐音转换欠佳。仅授权在Hugging Face上运行，运行使用免费实例转换很慢很慢很慢很慢，请耐心等待。
                 
+
+                **说明 / Introduction**
+                - 基于so-vits-svc 4.0的官方库示例修改而成。
+                - 所使用的音声训练集基于对话而来，因而转换后的音声在对话表现中会比乐曲中的人声中要好。
+                - 该项目以无盈利模式进行。
+                - Modified from the official library example based on so-vits-svc 4.0.
+                - The sound training set used is based on dialogue, thus the converted sound will perform better in dialogue than the vocals in the music.
+                - This project is conducted in no-profit.
+
                 ```text
-                For academic exchange only and not for illegal purposes. We have no relationship or interest with SEGA or related organizations.
+                For academic purpose only and not for illegal purposes. We have no relationship or interest with SEGA or related organizations.
                 The model derivation output is only similar to Otori Emu and there is inevitable loss, which cannot be fully simulated. 
                 If you have any questions, please send an email or forum for inquiry.
                 ```
 
-                ---
-                
+
                 **如何使用**
                 - 如果用于日常说话时的对话转换，请提前录制一段低于90s的人声干声，上传，勾选下面的自动f0预测，其它的可以不用动，直接转换，过一会儿就能听到转换的声音了。
                 - 如果是乐曲中的人声，你可以使用自己的清唱，或者使用UVR5软件进行干声提取，上传，不要勾选自动f0预测，按情况进行变调（模型实际测试高于标准音C4的类似度较高，输入的干声是男声请+12，女声可以先不变），然后转换。
                 - 转换后的进度条右侧有个省略的点，在那边可以下载。
                 - 本repo的管理者 @MashiroSA 看不到你输入和输出后的内容，只有Hugging Face官方也许可以看到，请放心。
-                
+
                 """)
             spks = list(model.spk2id.keys())
             sid = gr.Dropdown(label="音色", choices=spks, value=spks[0])