Files
candle/candle-examples/examples/whisper/multilingual.rs
Laurent Mazare 0741ebbd51 More multilingual support for whisper. (#419)
* More multilingual support for whisper.

* Use the language token appropriately.
2023-08-12 15:32:52 +01:00

134 lines
3.5 KiB
Rust

use crate::Whisper;
use candle::{IndexOp, Result, Tensor, D};
use tokenizers::Tokenizer;
const LANGUAGES: [(&str, &str); 99] = [
("en", "english"),
("zh", "chinese"),
("de", "german"),
("es", "spanish"),
("ru", "russian"),
("ko", "korean"),
("fr", "french"),
("ja", "japanese"),
("pt", "portuguese"),
("tr", "turkish"),
("pl", "polish"),
("ca", "catalan"),
("nl", "dutch"),
("ar", "arabic"),
("sv", "swedish"),
("it", "italian"),
("id", "indonesian"),
("hi", "hindi"),
("fi", "finnish"),
("vi", "vietnamese"),
("he", "hebrew"),
("uk", "ukrainian"),
("el", "greek"),
("ms", "malay"),
("cs", "czech"),
("ro", "romanian"),
("da", "danish"),
("hu", "hungarian"),
("ta", "tamil"),
("no", "norwegian"),
("th", "thai"),
("ur", "urdu"),
("hr", "croatian"),
("bg", "bulgarian"),
("lt", "lithuanian"),
("la", "latin"),
("mi", "maori"),
("ml", "malayalam"),
("cy", "welsh"),
("sk", "slovak"),
("te", "telugu"),
("fa", "persian"),
("lv", "latvian"),
("bn", "bengali"),
("sr", "serbian"),
("az", "azerbaijani"),
("sl", "slovenian"),
("kn", "kannada"),
("et", "estonian"),
("mk", "macedonian"),
("br", "breton"),
("eu", "basque"),
("is", "icelandic"),
("hy", "armenian"),
("ne", "nepali"),
("mn", "mongolian"),
("bs", "bosnian"),
("kk", "kazakh"),
("sq", "albanian"),
("sw", "swahili"),
("gl", "galician"),
("mr", "marathi"),
("pa", "punjabi"),
("si", "sinhala"),
("km", "khmer"),
("sn", "shona"),
("yo", "yoruba"),
("so", "somali"),
("af", "afrikaans"),
("oc", "occitan"),
("ka", "georgian"),
("be", "belarusian"),
("tg", "tajik"),
("sd", "sindhi"),
("gu", "gujarati"),
("am", "amharic"),
("yi", "yiddish"),
("lo", "lao"),
("uz", "uzbek"),
("fo", "faroese"),
("ht", "haitian creole"),
("ps", "pashto"),
("tk", "turkmen"),
("nn", "nynorsk"),
("mt", "maltese"),
("sa", "sanskrit"),
("lb", "luxembourgish"),
("my", "myanmar"),
("bo", "tibetan"),
("tl", "tagalog"),
("mg", "malagasy"),
("as", "assamese"),
("tt", "tatar"),
("haw", "hawaiian"),
("ln", "lingala"),
("ha", "hausa"),
("ba", "bashkir"),
("jw", "javanese"),
("su", "sundanese"),
];
/// Returns the token id for the selected language.
pub fn detect_language(model: &Whisper, tokenizer: &Tokenizer, mel: &Tensor) -> Result<u32> {
let device = mel.device();
let language_token_ids = LANGUAGES
.iter()
.map(|(t, _)| crate::token_id(tokenizer, &format!("<|{t}|>")))
.collect::<Result<Vec<_>>>()?;
let sot_token = crate::token_id(tokenizer, crate::SOT_TOKEN)?;
let audio_features = model.encoder.forward(mel)?;
let tokens = Tensor::new(&[[sot_token]], device)?;
let language_token_ids = Tensor::new(language_token_ids.as_slice(), device)?;
let logits = model
.decoder
.forward(&tokens, &audio_features)?
.i(0)?
.i(0)?;
let logits = logits.index_select(&language_token_ids, 0)?;
let probs = candle_nn::ops::softmax(&logits, D::Minus1)?;
let probs = probs.to_vec1::<f32>()?;
let mut probs = LANGUAGES.iter().zip(probs.iter()).collect::<Vec<_>>();
probs.sort_by(|(_, p1), (_, p2)| p2.total_cmp(p1));
for ((_, language), p) in probs.iter().take(5) {
println!("{language}: {p}")
}
let language = crate::token_id(tokenizer, &format!("<|{}|>", probs[0].0 .0))?;
Ok(language)
}