update doc

README.zh-CN.md

@@ -38,6 +38,9 @@ aha 是一款基于 Rust 和 Candle 框架构建的高性能跨平台 AI 推理
 | **重排序** | Qwen3-Reranker |
 
 ## 更新日志
+### 2026-05-24
+- 更新文档
+
 ### 2026-05-11
 - 添加Moss-TTS-Nano，该模型比较小，计算误差影响较大，效果比python原版差
 
@@ -214,27 +217,25 @@ pnpm run tauri build
 ```rust
 # VoxCPM示例
 use aha::models::voxcpm::generate::VoxCPMGenerate;
-use aha::utils::audio_utils::save_wav;
+use aha::utils::audio_utils::save_wav_mono;
 use anyhow::Result;
 
 fn main() -> Result<()> {
-    let model_path = "xxx/openbmb/VoxCPM-0.5B/";
-    
+    let model_path = "xxx/OpenBMB/VoxCPM2/";
+
     let mut voxcpm_generate = VoxCPMGenerate::init(model_path, None, None)?;
-    
-    let generate = voxcpm_generate.generate(
-        "太阳当空照，花儿对我笑，小鸟说早早早".to_string(),
+    let generate = voxcpm_generate.inference(
+        "aha是一个基于Rust和Candle框架的本地AI推理引擎，支持多模态模型（文本、视觉、语音、OCR）。".to_string(),
         None,
         None,
         2,
-        100,
+        1000,
         10,
         2.0,
-        false,
         6.0,
     )?;
 
-    let _ = save_wav(&generate, "voxcpm.wav")?;
+    save_wav_mono(&generate, "voxcpm2.wav", voxcpm_generate.sample_rate() as u32)?;
     Ok(())
 }
 ```