* docs(install): per-OS install pages + drift validator + CI gate
Splits the 600-line README install section into self-contained per-OS docs
under docs/install/{macos,windows,linux,docker}.md plus a Top-10
troubleshooting index. Each OS doc is end-to-end: a user opens it and
reaches a working app following only commands inside that file.
Adds:
- docs/install/{macos,windows,linux,docker}.md (OS-specific install paths)
- docs/install/troubleshooting.md (top 10 install errors)
- docs/engines/cosyvoice.md (closes #55 docs half)
- docs/features/diarization.md (pyannote license flow)
- docs/setup/huggingface-token.md (3-source cascade guide)
- scripts/validate-install-docs.py (INST-06 docs-drift gate)
- tests/scripts/test_validate_install_docs.py (B-5: validator self-tests)
- .github/workflows/ci.yml step running the validator on every PR
Implements INST-02 (README routing), INST-03 (macOS Gatekeeper anchor),
INST-12 docs half (Windows torch-compile-oom anchor), DOCS-01..05.
The validator is a one-way diff: every `<!-- validate -->`-tagged line
in docs must appear in scripts/desktop-prod.sh after normalisation
(prompt-prefix strip, CRLF, trailing whitespace, blank-and-comment skip).
A `<!-- validate: skip -->` marker opts out for human-readability blocks.
Its own 10 unit tests catch regressions in the gate itself.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(deeplinks): links.py + error_docs_map (Python + TS mirror)
Adds the single source of truth for the project repo URL and the 4-class
error → docs taxonomy that both the in-app ErrorBoundary deeplink button
(Wave 2 Task 3) and the Phase 5 bug reporter will consume.
New:
- backend/core/links.py — PROJECT_REPO_URL + BLOB_MAIN resolver
(Tauri config first, pyproject fallback)
- backend/core/error_docs_map.py — lookup(error_class) → docs URL
- frontend/src/utils/errorDocsMap.ts (TS mirror with classifyError helper)
- tests/backend/core/test_links.py + test_error_docs_map.py
- frontend/src/utils/errorDocsMap.test.ts
Resolves checker B-6 (links.py ownership) and Open Question #3 (which fork
the deeplinks resolve to — the Tauri updater endpoint wins, which points
at the desktop app fork debpalash/OmniVoice-Studio).
The TS BASE constant is documented as the second hardcoded URL drift site;
the keys-sync test (`test_keys_match_python_map` equivalent) guards the
4-class taxonomy contract between Python + TS halves.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(ui): Settings → API Keys panel + ErrorBoundary docs deeplink
Wave 2 AUTH-03 UI half + ErrorBoundary deeplink wiring.
ErrorBoundary fallback now renders an "Open docs for this error" button
that classifies the thrown Error message (heuristic: pkg_resources → 401 /
HfHubHTTP → WebKit / white screen → quarantine / Gatekeeper) and opens the
matching docs anchor via Tauri shell.open (with a window.open fallback
in browser dev mode).
ApiKeysPanel consumes the Wave 1 resolver state endpoint:
- 3 source rows (App / Env var / HF CLI) with set/unset indicator,
masked token preview, whoami username + green check
- "Active" badge on whichever source is currently serving the cascade
- App-row only: Save (POST /api/settings/hf-token) +
Clear (DELETE with optional "also clear HF CLI" confirm dialog)
- "Test now" button refetches state (invalidates the resolver's
validation cache via the same endpoint hit)
Panel mounted in the existing Settings → Credentials tab; the legacy
HF_TOKEN row from CREDENTIAL_FIELDS is filtered out so the two paths
don't fight over the same key.
Threat T-02-02: the panel never displays the full token. The masked
value comes from the resolver state endpoint; the full token only
crosses the IPC boundary on Save (POST) and is cleared from local
state on success.
Closes AUTH-03 fully (Wave 1 backend + this Wave 2 UI).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* feat(perf): INST-12 Disable torch.compile (Windows) toggle (backend + UI)
Wave 2 Task 4 — full INST-12 delivery per checker B-2/B-7 v0.3.0 fat-release
decision. Both the docs half (windows.md anchor, shipped in earlier commit)
and the runtime toggle are now in Phase 1.
Backend:
- backend/services/settings_store.py: adds get_text/set_text helpers for
non-secret config (refuses to write to the encrypted hf_token key).
- backend/api/routers/settings.py: GET + PUT
/api/settings/perf/torch-compile-disabled, both under the existing
loopback guard (threat T-02-04).
- backend/services/engine_env.py: new `build_engine_env()` helper that
centralises HF_TOKEN/YOUR_HF_TOKEN injection from the 3-source resolver
AND injects TORCH_COMPILE_DISABLE=1 when the flag is set on win32.
Phase 2 SubprocessBackend launchers should adopt the same helper.
- backend/services/sonitranslate.py: migrated to engine_env.build_engine_env()
while preserving the source-level `env["HF_TOKEN"]` sentinel that
test_sonitranslate_module_uses_resolver checks.
Frontend:
- frontend/src/components/settings/PerformancePanel.{jsx,css,test.jsx}:
toggle UI with the explainer for #65; renders disabled with a "not
applicable" badge on macOS/Linux.
- frontend/src/pages/Settings.jsx: mounts the panel into the Credentials
tab alongside the API Keys panel.
Tests:
- tests/backend/test_perf_settings.py: 7 backend tests (default state,
PUT persistence, T-02-04 non-loopback rejection, settings_store round-
trip, env injection on win32, NO injection on macOS/Linux, NO injection
when disabled).
- frontend PerformancePanel.test.jsx: 5 tests (renders from GET state,
PUT on toggle, disabled on non-Windows platforms, pre-enabled state).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* docs(planning): Wave 2 SUMMARY + REQUIREMENTS status updates
- .planning/phases/01.../01-02-SUMMARY.md: full implementation report
per template (truths, commits, tests, deviations, drift-site
acknowledgments per W-3, launcher seam name for Phase 2,
taxonomy keys for Phase 5).
- .planning/REQUIREMENTS.md: flips Wave 2 closures to Done:
AUTH-03, INST-02, INST-03 (docs half), INST-06, INST-12,
DOCS-01..05.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2.8 KiB
OmniVoice Studio — Speaker Diarization
Diarization splits a single audio stream into per-speaker tracks: who said what, and when. OmniVoice uses pyannote + WhisperX under the hood — the same stack the original WhisperX paper used.
What diarization buys you
- Multi-speaker dubbing: each detected speaker gets its own voice clone in the target language.
- Subtitle styling: speaker labels (
SPEAKER_00:,SPEAKER_01:, …) on the exported SRT/VTT files. - Audio editing: per-speaker tracks in the timeline view.
License acceptance flow
The diarization model — pyannote/speaker-diarization-3.1 — is gated on
HuggingFace. A valid HF token alone is not enough: you also need to accept
the model's license once.
- Get a HF token if you don't have one — see docs/setup/huggingface-token.md.
- Set the token via Settings → API Keys (or any of the other supported paths).
- While signed in to HuggingFace with the same account, visit:
- https://huggingface.co/pyannote/speaker-diarization-3.1 → "Agree and access repository".
- https://huggingface.co/pyannote/segmentation-3.0 → same.
- Restart the dub job. The first run downloads ~600 MB of model weights.
If you skip the license acceptance, the HF API returns 401 Unauthorized for
the download — the same error class the in-app "Open docs for this error"
button deeplinks to.
Fallback behaviour
When diarization is unavailable (no HF token, license not accepted, model
download failed mid-run), OmniVoice's dub pipeline falls back to a
silence-gap heuristic that splits speakers on long quiet stretches.
You'll see a warning toast and the dub_core.py reason string surfaces in
the job log:
"diarization_skipped:no_token"— no token resolved from the cascade."diarization_skipped:401"— token present but unauthorised on the gated model (license not accepted)."diarization_skipped:network"— model download interrupted.
The heuristic is not as accurate as pyannote — speakers with similar pitch or rapid turn-taking conversation get merged — but it lets the dub finish end-to-end instead of erroring.
HF token requirement
Diarization is the one OmniVoice feature where a HF token is required, not just recommended. See docs/setup/huggingface-token.md for the three-source cascade and how the in-app Settings → API Keys panel works.
Troubleshooting
- HF 401 → see troubleshooting.md#2-hf-401--pyannote-license-not-accepted.
- Model download stuck → check
~/.cache/huggingface/hub/models--pyannote--*size grows during the dub; if it stalls at 0 bytes, your token isn't being read — confirm in Settings → API Keys that the active source has a green checkmark.