The websocket handler now accumulates the full session's PCM audio
(not just the per-chunk buffer that gets discarded after each
worker call) and, on stop, writes it as a wav to UPLOAD_DIR plus a
result JSON to RESULT_DIR via the new _save_realtime_history()
helper — same shape /transcribe already writes, tagged
gateway_backend="realtime" so the history table visually
distinguishes it from file uploads. This reuses /asr/history and
/asr/uploads/{filename} as-is; no new endpoints needed.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Mirrors the ASR backend pattern exactly: a BACKENDS dict in
tts/router.py maps a backend name to its worker URL, so adding the
next backend is just a new worker file + venv + supervisord entry +
one dict line. XTTS-v2 runs in its own venv (--system-site-packages,
inherits base image torch/CUDA) as a new supervisord program on
port 8005.
XTTS is zero-shot voice cloning, so a reference-voice library was
added (/tts/voices CRUD, stored under /srv/tts/voices) — synthesis
requires picking a previously uploaded voice. Results and model
cache live under /srv/tts/{results,models-cache}, new quadlet
volumes, owned by the same 983:983 user as the existing /srv/asr
dirs.
Fixed two environment issues uncovered while getting XTTS to
actually run inside the container (non-root user, root-built venvs):
- coqui-tts only pins transformers>=4.57 with no ceiling, so pip
installed an incompatible 5.x; pinned to the last 4.x release.
- HOME defaults to /app (owned by root) for the container's runtime
user, so numba/matplotlib/torch cache writes failed; HOME is now
forced to /tmp in all three workers (faster_whisper, qwen3, xtts)
before any of those libraries get imported.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Same Authlib-based pattern as v1: SessionMiddleware + core/auth.py
(login/callback/logout + require_login dependency), gating "/",
/asr/* and /tts/* behind Authentik (application slug "asr-v2",
provider pk 14). The websocket route can't use a FastAPI dependency
(no Request in its scope) so it's split into its own router and
checks websocket.session manually before accept().
v2 has no public domain yet, so the redirect_uri points at the
internal 172.30.1.41:18101 address over plain http — hence
https_only=False on the session cookie. Client id/secret and the
session secret live in /srv/asr/env/asr.env under ASR_V2_-prefixed
names (that env file is shared with v1, which already owns the
unprefixed OIDC_* names).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Split the single ASR gateway into app/main.py (entrypoint) + app/core
(shared env helpers) + app/asr (all existing ASR logic, unchanged
behavior) + app/tts (placeholder router/config, no engine yet), so a
real TTS backend can be dropped in later without reshuffling ASR code.
API moved under /asr/* and /tts/* prefixes; UI gained a top-level
ASR/TTS tab switcher built on a reusable nested .tab-group mechanism,
with JS split into common.js/asr.js/tts.js.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
