makepad/apps/route/src/speech.rs
Admin 723b7928bb Route assistant: mmap LLM weights, fix batched-attention corruption, kokoro voice out
- ggml: read-only mmap module (unix-gated) + two-region Context (mapped
  weights / dirty caches) + segmented Metal buffer binding; llama loads
  GGUF weights as file-backed clean pages (jetsam-exempt) with owned-arena
  fallback (MAKEPAD_LLAMA_NO_MMAP=1). Route app dirty footprint 12GB -> 4-7GB;
  model load becomes lazy page-in; A/B byte-identical on 4B + 9B.
- llama: fix graph-cache keying corruption — a graph keyed wider than the
  KV cache corrupted attention for any prefill batch >= 2 (flash op reads
  permute-node dims baked at build; view reconfigure never reached the
  kernel; masks were written cache-narrow). Masks now always fill the full
  graph key width and graphs key by 1024-buckets; reconfigure path removed.
  Verified byte-exact vs per-length reference across batch 1/2/8/64/512,
  short+long prompts, mmap on/off, plus a two-session concurrency probe.
- voice: passive VoiceWaves no longer register the global audio-input
  callback (the invisible caption-bar wave stole mic audio — last
  registrant wins — and spawned duplicate whisper workers); whisper back
  to F16 default (voice Metal library has no quantized kernels; q5_0
  failed every GPU matmul); raw transcripts render immediately.
- route: kokoro TTS voice output (speaker toggle; streams reply sentences,
  announces nav maneuvers + arrival) with barge-in — voice activity on the
  mic stops playback instantly; dispatcher context 8k -> 32k (hybrid KV is
  12/48 layers, ~48KB/token); window caption bar suppressed under studio.
- llama-generate: --max-context/--prefill-batch-size + state fingerprints;
  new llama_concurrent_probe bin.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-31 12:13:31 +02:00

225 lines
8.2 KiB
Rust

//! Kokoro voice output (ported from examples/godot): a synthesis worker
//! fills a PCM buffer that the `cx.audio_output` callback drains. Muting is
//! "stop feeding the buffer", which also makes it instant. Streamed reply
//! text is spoken sentence-by-sentence so the voice keeps pace with
//! generation; nav turn instructions go through `say` directly.
use makepad_tts::Speaker;
use makepad_widgets::*;
use std::sync::atomic::{AtomicBool, AtomicU64, Ordering};
use std::sync::{mpsc, Arc, Mutex};
/// The buffer the audio callback plays from. Written by the synthesis
/// worker, read by the audio thread.
#[derive(Default)]
pub struct Playback {
samples: Vec<f32>,
cursor: f64,
source_rate: f64,
}
pub struct Speech {
say_tx: mpsc::Sender<(u64, String)>,
playback: Arc<Mutex<Playback>>,
muted: Arc<AtomicBool>,
/// Bumped on stop. Requests from an older generation are dropped, so a
/// sentence that was already being synthesized never plays after a cancel.
generation: Arc<AtomicU64>,
/// Streamed reply text not yet spoken.
pending: String,
}
/// Don't speak a fragment shorter than this — one-word clips sound like hiccups.
const MIN_SPOKEN_CHARS: usize = 16;
impl Speech {
pub fn new() -> Self {
let playback = Arc::new(Mutex::new(Playback::default()));
let muted = Arc::new(AtomicBool::new(false));
let generation = Arc::new(AtomicU64::new(0));
let (say_tx, requests) = mpsc::channel::<(u64, String)>();
let worker_playback = playback.clone();
let worker_generation = generation.clone();
std::thread::spawn(move || {
// Off the main thread on purpose: synthesis blocks until the
// whole utterance is rendered.
let mut speaker = Speaker::from_makepad_env_with_voice("af_heart.mkvoice");
log!("tts: backend {:?}", speaker.kind());
// Discarded warm-up: Kokoro's first synthesis initializes the
// Metal context on this thread; better now than on the first turn.
let _ = speaker.synthesize("Hi.");
while let Ok((generation, text)) = requests.recv() {
if generation != worker_generation.load(Ordering::Relaxed) {
continue;
}
match speaker.synthesize(&text) {
Ok(audio) if !audio.is_empty() => {
// Re-check: synthesis is slow enough that a cancel
// can land while it runs.
if generation != worker_generation.load(Ordering::Relaxed) {
continue;
}
let mut playback = worker_playback.lock().unwrap();
if playback.source_rate != audio.sample_rate as f64 {
playback.samples.clear();
playback.cursor = 0.0;
playback.source_rate = audio.sample_rate as f64;
}
// Append, don't replace: sentences queue up.
playback.samples.extend_from_slice(&audio.samples);
}
Ok(_) => {}
Err(err) => log!("tts: {err:?}"),
}
}
});
Self {
say_tx,
playback,
muted,
generation,
pending: String::new(),
}
}
/// Install the playback callback. Output device selection stays with the
/// app's AudioDevices handler (`cx.use_audio_outputs`).
pub fn install_audio_output(&self, cx: &mut Cx) {
let playback = self.playback.clone();
let muted = self.muted.clone();
cx.audio_output(0, move |info, output| {
output.zero();
if muted.load(Ordering::Relaxed) {
return;
}
let Ok(mut playback) = playback.lock() else {
return;
};
if playback.samples.is_empty() || playback.source_rate <= 0.0 {
return;
}
// Resample on the fly: the backend's rate is not the device's.
let step = playback.source_rate / info.sample_rate;
let channels = output.channel_count();
for frame in 0..output.frame_count() {
let index = playback.cursor as usize;
if index + 1 >= playback.samples.len() {
playback.samples.clear();
playback.cursor = 0.0;
break;
}
let fraction = (playback.cursor - index as f64) as f32;
let a = playback.samples[index];
let b = playback.samples[index + 1];
let sample = a + (b - a) * fraction;
for channel in 0..channels {
output.channel_mut(channel)[frame] = sample;
}
playback.cursor += step;
}
// Sentences append while earlier ones play, so drop the consumed
// prefix periodically or the buffer grows for the whole reply.
if playback.cursor > 2.0 * playback.source_rate {
let consumed = playback.cursor as usize;
playback.samples.drain(..consumed);
playback.cursor -= consumed as f64;
}
});
}
/// Feed streamed reply text. Each finished sentence is spoken as soon
/// as it lands.
pub fn feed(&mut self, delta: &str) {
self.pending.push_str(delta);
while let Some(sentence) = self.take_sentence() {
self.enqueue(&sentence);
}
}
/// Speak whatever is left over at the end of a turn.
pub fn flush(&mut self) {
let rest = std::mem::take(&mut self.pending);
self.enqueue(&rest);
}
/// Speak a standalone phrase now (nav turn instructions).
pub fn say(&self, text: &str) {
self.enqueue(text);
}
/// True while synthesized audio is still playing — used to drop mic
/// transcripts of the assistant's own voice (no echo cancellation yet).
pub fn is_speaking(&self) -> bool {
self.playback
.lock()
.map(|p| !p.samples.is_empty())
.unwrap_or(false)
}
fn take_sentence(&mut self) -> Option<String> {
let mut split_at = None;
for (index, ch) in self.pending.char_indices() {
let boundary = matches!(ch, '.' | '!' | '?' | '\n' | ':');
if boundary && index + ch.len_utf8() >= MIN_SPOKEN_CHARS {
split_at = Some(index + ch.len_utf8());
break;
}
}
let at = split_at?;
let rest = self.pending.split_off(at);
Some(std::mem::replace(&mut self.pending, rest))
}
fn enqueue(&self, raw: &str) {
if self.muted.load(Ordering::Relaxed) {
return;
}
let text = spoken_text(raw);
if text.is_empty() {
return;
}
let _ = self
.say_tx
.send((self.generation.load(Ordering::Relaxed), text));
}
pub fn stop(&mut self) {
self.generation.fetch_add(1, Ordering::Relaxed);
self.pending.clear();
if let Ok(mut playback) = self.playback.lock() {
playback.samples.clear();
playback.cursor = 0.0;
}
}
pub fn is_muted(&self) -> bool {
self.muted.load(Ordering::Relaxed)
}
pub fn set_muted(&mut self, muted: bool) {
self.muted.store(muted, Ordering::Relaxed);
if muted {
self.stop();
}
}
}
/// Text is for reading, not speaking: drop markdown/markup symbols and
/// emoji-ish prefixes that would be read aloud as punctuation soup.
fn spoken_text(text: &str) -> String {
let mut spoken = String::with_capacity(text.len());
for line in text.lines() {
let cleaned: String = line
.chars()
.filter(|c| !matches!(c, '*' | '_' | '`' | '#' | '>' | '|' | '→' | '⚙' | '·'))
.collect();
let cleaned = cleaned.trim();
if !cleaned.is_empty() {
spoken.push_str(cleaned);
spoken.push(' ');
}
}
spoken.trim().to_string()
}