Three conflicts, all additive on both sides — resolved by keeping both
rather than choosing, since either side's entries were real shipped work:
* CHANGELOG.md — remote-GPU entries against branding, IndexTTS 2.5 and
the recording-input work
* setup/download.py — the per-target progress reset against main's
active-install tracking; both belong in the same finally block
* docs/features.yaml — the remote-worker and model docs against
docs/branding.md
Backend 5349 passed, frontend 1871 passed. `bun install --frozen-lockfile`
reports no changes, so the Docker build sees the same tree CI does.
Five workstreams that finish the remote-GPU line, plus the test hole that
let a broken signature reach a commit.
**Downloads go through the normal path** (Phase 5). Rather than a second
remote-only route, the existing Models install flow became target-aware,
so a model landing on a worker uses the same code, the same progress
events and the same UI as a local one. Progress rows key on
(target, repo_id) — the aggregator keyed on bare repo_id, so the same
model downloading here and on a worker at once collapsed into one row
that told the user nothing true about either.
**Audiobooks render chapter by chapter on the worker** (Phase 8), with
per-chapter local fallback and ONE aggregated notice. The failure that
shape exists to prevent: a remote GPU that sleeps at chapter 40 of 200
must not turn a working book into 160 rows of PROGRESS_LEASE_EXPIRED.
Dictation is deliberately NOT ported — it runs ASR per utterance inside a
live WebSocket loop, and paying queue admission plus a round trip there
would spend the one thing that route is for.
**Dubbing stays local, and says so** (Phase 7). The coarse worker
operation is not finished, so the picker still reports dubbing as local
rather than showing a green remote chip over work this machine is doing.
What could not wait is the in-loop OOM retry: it sniffed the error string
and flushed the *local* CUDA cache, which under remote execution is the
wrong machine's GPU entirely. That is fixed now, before the path that
would have exercised it exists.
**Two instances can no longer share the control plane.** A second
VoiceStudio silently bound the same worker port and coexisted, so remote
workers landed on whichever process won the race — a session that
registers with one instance and appears dead to the other. This produced
hours of misdiagnosis during hardware testing and would hit any user with
the app open twice. The second instance now keeps running locally and
explains the conflict instead of quietly competing.
**And the hole that allowed all this to be missable.** gpu_gateway called
Scheduler.submit(pinned_worker_id=...) one commit before that parameter
existed. Every remote generation raised TypeError; 5236 tests passed
anyway, because nothing exercised the gateway against the real scheduler.
tests/test_gpu_gateway_scheduler_contract.py now runs that path for real
and binds every gateway→dependency call signature. Verified by renaming
the parameter away and watching both tests fail with the original error.
Gallery previews also fall back to a local render when a downloaded clip
cannot be decoded, rather than yielding silence.
Backend 5274 passed, frontend 1812 passed.
Not yet verified on hardware: Phases 4, 5, 6, 7, 8. Only the TTS path and
its artifact transport have been proven on a real GPU.
The dictation hotkey could leave a blank dark square stuck on the desktop with no way to dismiss it. Three defects compounded: the tray listener's effect depended on [state], so it detached across an await on every state change and a press landing in that gap was lost; an idle pill renders null, so the window Rust had already shown was empty; and the opaque chrome background made that empty window a hard-edged square. Nothing could hide it — dismiss() is only reachable from the X button, Esc, or a post-session timer, none of which exist for a session that never started.
Fixed at the invariant rather than the call sites: the listener subscribes once for the component's lifetime, the widget window's chrome background is transparent, and an idle-but-visible window reconciles itself to hidden. The reconcile is polled (a dropped press changes no React state, so there is nothing to key an effect off) and aborts if its effect is torn down mid-check, so it can never hide a dictation that has just started.
Also in scope:
- The rename sweep had repointed three data-dir literals at a brand-named directory that does not exist, so smoke-test.sh verified a directory the backend never writes and desktop-prod.sh silently stopped clearing backend state on Windows. Both invisible on macOS, where they are usually run. A guard test now pins the assignments specifically.
- The dictation model picker's download sizes were wrong for all seven models, in both directions — Parakeet TDT v3 (the recommended default) understated 180 MB against an actual 670 MB, while the low-RAM fallbacks were overstated threefold, discouraging exactly the choice that would have helped. Measured from the published repos and pinned by a test.
- The 0.6B Parakeet models now decode on more threads, capped by host cores and still overridable.
- uninstall.ps1 gained a UTF-8 BOM (Windows PowerShell 5.1 mis-decodes its non-ASCII output without one), and sponsor.yml lost its last OmniVoice references.
Only the TTS model (~2.4 GB) is required on first run; ASR models are
per-platform curated picks (curated_on in models.yaml) installed on demand.
Every transcription surface returns a typed asr_model_missing error with a
one-click download CTA instead of silently pulling multi-GB Whisper weights.
Settings -> Models is a grouped, platform-aware catalog. New guided
permissions UX (wizard System Check + Settings -> Permissions + mic
pre-flight) with native mic-state checks and OS settings deep-links. New
parakeet-mlx engine brings Parakeet TDT v3 to Apple Silicon (language-gated
capture preference so multilingual dictation never regresses). Docs:
expressive-speech page, Flush/Unload + CPU-fallback triage, clone-length FAQ.
Hardening: preflight fails open for custom model pins, ROCm curation no
longer inherits NVIDIA picks, Windows mic probe reads the NonPackaged
consent key, CaptureWidget setup race fixed, offline-cache CI simulation
fixes so empty-cache runners stay green.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* feat(dictation): live local dictation via sherpa-onnx + Voice settings panel
Add a sherpa-onnx ASR engine alongside the existing Whisper/NeMo dictation
path, powering a genuinely live experience: as you speak, words type straight
into the focused field (streaming partials via a new simulate_type command,
self-correcting with backspaces) and commit per pause.
Backend:
- SherpaDictationBackend + sherpa_dictation registry of the 7 models (Parakeet
TDT v3/v2, streaming Zipformer EN/ZH/bilingual, Paraformer bilingual, Whisper
Tiny) from csukuangfj/* int8 HF repos; CPU provider for cross-platform parity.
- /dictation/models + /dictation/prefs router; get_capture_asr_backend() honors
the selected dictation model. get_active_asr_backend() (dub transcription) and
the legacy WebM/Opus capture path are untouched.
- True streaming over /ws/transcribe (OnlineRecognizer: live partials +
per-endpoint finals); offline models surface partials via short re-decode.
Frontend:
- New "Voice" settings panel (enable, Toggle/Hold mode, model picker with
offline/streaming/recommended badges + per-model download/delete).
- Live word-by-word typing via simulate_type (enigo) with prefix-diff delta and
backspace correction; paste fallback retained, no double-insertion.
Deps: sherpa-onnx>=1.13.3 (+ sherpa-onnx-core); uv.lock regenerated, Docker
frozen-install verified. API route-inventory snapshot updated. 40+ new tests.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs(dictation): register sherpa-onnx-asr engine in README + features inventory
Fixes the docs-drift CI guard: the new sherpa-onnx-asr ASR engine existed in
the registry but not in docs/features.yaml or README. Adds the live-dictation
engine row to the ASR Engines table, bumps the engine counts (8→9), and adds
the inventory entry.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs(changelog): fold live-dictation into the [0.3.8] section
main is 0.3.8 (untagged), so the dictation feature belongs in that release, not
a separate [Unreleased] block. Merge the two Added lists under one [0.3.8],
refresh the headline to lead with live dictation, and correct the capture
description to reflect live word-by-word typing (not paste-on-pause).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: mergetest <test@local>
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
A first-run user whose model download was interrupted after the config/
tokenizer files landed but before the weight shard got stranded on the
Models & Engines page: GET /models computed "installed" purely from cache
size on disk, so a size-positive-but-weight-less cache reported installed=true,
the wizard hid the re-download button, and the model manager (Settings → Models)
that could repair it was unreachable behind the wizard gate.
Make install-state weight-aware. The boolean weight-floor scan now lives in
models.py (the lowest module in the setup import graph) as snapshot_has_weights()
+ cache_is_complete(); list_models() and recommendations() downgrade a truncated
cache to installed=false (+ an explicit incomplete=true on /models), so the
existing "install" action re-appears and the user can re-download in-wizard.
Fixes the whole class, not just /models: download.py's install-time validator
now delegates to the same shared scan (one source of the floors, can't drift),
matching the load-time repair in model_manager.py (#581/#606).
config_only repos (pyannote/speaker-diarization-3.1 — a pipeline whose real
weights live in referenced sub-repos and whose own cache is legitimately tiny)
carry a new config_only:true hint in models.yaml and are exempt, so they're not
false-flagged as incomplete.
Tests: tests/test_mm2_lifecycle.py — snapshot_has_weights truncated-vs-complete,
cache_is_complete on a truncated weight repo + config-only exemption, and
list_models downgrading a size-positive truncated cache to installed=false /
incomplete=true. Full backend suite green (1832 passed).
Co-authored-by: mergetest <test@local>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
* fix(asr): repoint two 404 ASR model repo IDs in catalog (closes#239)
Model install failed with HTTP 404 for two ASR entries whose Hugging Face
repos don't exist:
- UsefulSensors/moonshine-small -> UsefulSensors/moonshine-tiny (Moonshine
ships tiny/base; there is no 300M 'small')
- Systran/faster-whisper-large-v3-turbo -> deepdml/faster-whisper-large-v3-turbo-ct2
(Systran publishes no turbo repo; deepdml is a valid CTranslate2 build)
Audited all 25 catalog repo_ids — every one resolves 200 on HF after the swap.
Adds a static (no-network, CI-safe) regression test asserting repo_ids are
well-formed and the known-404 IDs can't reappear.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* test/docs(asr): safer repo_id access + flag turbo repo as community build (PR #242 review)
- test_known_404_repo_ids_absent: m.get('repo_id','') so a missing field gives a
clean assertion instead of KeyError regardless of test order.
- models.yaml: note the turbo entry is a community CTranslate2 conversion to
re-verify on future audits (greptile).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Production deployment hardening, dub OOM recovery, new SoniTranslate sidecar engine, ASR backend expansion.
- Dub generation OOM recovery: backend/api/routers/dub_generate.py:163-209 adds OOM detection + one retry with reduced nstep
- New SoniTranslate sidecar engine: backend/api/routers/sonitranslate.py + backend/services/sonitranslate.py (subprocess-based dubbing pipeline, opt-in)
- ASR backends expansion: backend/services/asr_backend.py adds NeMo Parakeet TDT, Moonshine, additional Whisper variants; new GET /system/asr-backends endpoint
- Dub UI polish: tighter spacing in DubSegmentRow.css, DubTab.css
Issue #78 (speaker diarization mis-assignment) NOT addressed by this PR — the bundled diarization changes are in the new SoniTranslate sidecar, not the existing pyannote pipeline. Keeping #78 open.
No DB schema changes, no migration. Backward-compatible for existing user data.
- Implement donate page and migrate API fetching to react-query hooks
- Add setup wizard for batch job management and voice clip editing
- Refactor setup router into package (wizard, models, download sub-modules)
- Fix 9 CI test failures from setup router refactor
- Fix cross-device link error in prefs.py atomic writes
- Fix event loop mismatch in export test fixtures
- Modernize README with architecture diagram and 13 app screenshots
- Defer per-segment disk writes in dub_generate for ~6s faster dubs
- Extract 45 inline styles from Launchpad, KeyboardCheatsheet, DubSegmentRow
- Add playwright dev dep and screenshot capture script
Palash Debnath