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tests/test_voxcpm1_5.rs

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+use std::time::Instant;
+
+use aha::{
+    models::voxcpm::{generate::VoxCPMGenerate, tokenizer::SingleChineseTokenizer},
+    utils::audio_utils::save_wav,
+};
+use anyhow::{Ok, Result};
+
+#[test]
+fn voxcpm1_5_generate() -> Result<()> {
+    // RUST_BACKTRACE=1 cargo test -F cuda voxcpm1_5_generate -r -- --nocapture
+    let model_path = "/home/jhq/huggingface_model/OpenBMB/VoxCPM1.5/";
+
+    let i_start = Instant::now();
+    let mut voxcpm_generate = VoxCPMGenerate::init(model_path, None, None)?;
+    let i_duration = i_start.elapsed();
+    println!("Time elapsed in load model is: {:?}", i_duration);
+
+    let i_start = Instant::now();
+    // let generate = voxcpm_generate.generate_simple("太阳当空照，花儿对我笑，小鸟说早早早".to_string())?;
+    let generate = voxcpm_generate.generate(
+        "太阳当空照，花儿对我笑，小鸟说早早早".to_string(),
+        // Some("啥子小师叔，打狗还要看主人，你再要继续，我，就是你的对手".to_string()),
+        // Some("./assets/audio/voice_01.wav".to_string()),
+        Some("一定被灰太狼给吃了，我已经为他准备好了花圈了".to_string()),
+        Some("./assets/audio/voice_05.wav".to_string()),
+        2,
+        100,
+        10,
+        2.0,
+        false,
+        6.0,
+    )?;
+
+    // 创建prompt_cache
+    // let _ = voxcpm_generate.build_prompt_cache(
+    //     "啥子小师叔，打狗还要看主人，你再要继续，我，就是你的对手".to_string(),
+    //     "./assets/audio/voice_01.wav".to_string(),
+    // )?;
+    // // 使用prompt_cache生成语音
+    // let generate = voxcpm_generate.generate_use_prompt_cache(
+    //     "太阳当空照，花儿对我笑，小鸟说早早早".to_string(),
+    //     2,
+    //     100,
+    //     10,
+    //     2.0,
+    //     false,
+    //     6.0,
+    // )?;
+
+    let i_duration = i_start.elapsed();
+    println!("Time elapsed in generate is: {:?}", i_duration);
+    save_wav(&generate, "voxcpm.wav")?;
+    Ok(())
+}
+
+#[test]
+fn voxcpm1_5_tokenizer() -> Result<()> {
+    // RUST_BACKTRACE=1 cargo test -F cuda voxcpm1_5_tokenizer -r -- --nocapture
+    let model_path = "/home/jhq/huggingface_model/OpenBMB/VoxCPM1.5/";
+    let tokenizer = SingleChineseTokenizer::new(model_path)?;
+    let ids = tokenizer.encode("你好啊，你吃饭了吗".to_string())?;
+    println!("ids: {:?}", ids);
+    Ok(())
+}