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, 4096, 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, "voxcpm1_5.wav", 44100)?; 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(()) }