mirror of
https://github.com/huggingface/candle.git
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132 lines
4.6 KiB
Rust
132 lines
4.6 KiB
Rust
#[cfg(feature = "mkl")]
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extern crate intel_mkl_src;
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#[cfg(feature = "accelerate")]
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extern crate accelerate_src;
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use anyhow::Result;
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use candle::{DType, IndexOp, Tensor};
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use candle_nn::VarBuilder;
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use candle_transformers::models::encodec::{Config, Model};
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use clap::{Parser, ValueEnum};
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use hf_hub::api::sync::Api;
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mod audio_io;
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#[derive(Clone, Debug, Copy, PartialEq, Eq, ValueEnum)]
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enum Action {
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AudioToAudio,
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AudioToCode,
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CodeToAudio,
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}
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#[derive(Parser, Debug)]
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#[command(author, version, about, long_about = None)]
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struct Args {
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/// The action to be performed, specifies the format for the input and output data.
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action: Action,
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/// The input file, either an audio file or some encodec tokens stored as safetensors.
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in_file: String,
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/// The output file, either a wave audio file or some encodec tokens stored as safetensors.
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out_file: String,
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/// Run on CPU rather than on GPU.
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#[arg(long)]
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cpu: bool,
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/// The model weight file, in safetensor format.
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#[arg(long)]
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model: Option<String>,
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}
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fn main() -> Result<()> {
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let args = Args::parse();
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let device = candle_examples::device(args.cpu)?;
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let model = match args.model {
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Some(model) => std::path::PathBuf::from(model),
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None => Api::new()?
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.model("facebook/encodec_24khz".to_string())
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.get("model.safetensors")?,
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};
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let vb = unsafe { VarBuilder::from_mmaped_safetensors(&[model], DType::F32, &device)? };
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let config = Config::default();
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let model = Model::new(&config, vb)?;
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let codes = match args.action {
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Action::CodeToAudio => {
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let codes = candle::safetensors::load(args.in_file, &device)?;
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codes.get("codes").expect("no codes in input file").clone()
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}
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Action::AudioToCode | Action::AudioToAudio => {
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let pcm = if args.in_file == "-" {
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println!(">>>> RECORDING AUDIO, PRESS ENTER ONCE DONE <<<<");
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let (stream, input_audio) = audio_io::setup_input_stream()?;
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let mut pcms = vec![];
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let stdin = std::thread::spawn(|| {
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let mut s = String::new();
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std::io::stdin().read_line(&mut s)
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});
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while !stdin.is_finished() {
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let input = input_audio.lock().unwrap().take_all();
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if input.is_empty() {
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std::thread::sleep(std::time::Duration::from_millis(100));
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continue;
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}
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pcms.push(input)
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}
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drop(stream);
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pcms.concat()
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} else {
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let (pcm, sample_rate) = audio_io::pcm_decode(args.in_file)?;
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if sample_rate != 24_000 {
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println!("WARNING: encodec uses a 24khz sample rate, input uses {sample_rate}, resampling...");
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audio_io::resample(&pcm, sample_rate as usize, 24_000)?
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} else {
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pcm
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}
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};
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let pcm_len = pcm.len();
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let pcm = Tensor::from_vec(pcm, (1, 1, pcm_len), &device)?;
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println!("input pcm shape: {:?}", pcm.shape());
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model.encode(&pcm)?
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}
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};
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println!("codes shape: {:?}", codes.shape());
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match args.action {
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Action::AudioToCode => {
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codes.save_safetensors("codes", &args.out_file)?;
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}
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Action::AudioToAudio | Action::CodeToAudio => {
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let pcm = model.decode(&codes)?;
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println!("output pcm shape: {:?}", pcm.shape());
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let pcm = pcm.i(0)?.i(0)?;
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let pcm = candle_examples::audio::normalize_loudness(&pcm, 24_000, true)?;
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let pcm = pcm.to_vec1::<f32>()?;
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if args.out_file == "-" {
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let (stream, ad) = audio_io::setup_output_stream()?;
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{
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let mut ad = ad.lock().unwrap();
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ad.push_samples(&pcm)?;
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}
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loop {
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let ad = ad.lock().unwrap();
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if ad.is_empty() {
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break;
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}
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// That's very weird, calling thread::sleep here triggers the stream to stop
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// playing (the callback doesn't seem to be called anymore).
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// std::thread::sleep(std::time::Duration::from_millis(100));
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}
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drop(stream)
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} else {
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let mut output = std::fs::File::create(&args.out_file)?;
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candle_examples::wav::write_pcm_as_wav(&mut output, &pcm, 24_000)?;
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}
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}
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}
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Ok(())
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}
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