pyannote.audio was still `>=3.1` — the same unbounded-constraint pattern
that silently broke qwen3 (transformers>=4.45.0 resolving to a version
without qwen3_asr support on a later rebuild). Confirmed it had already
drifted once this session (4.0.4 -> 4.0.7). Pinned to the exact version
the current diarization code (token=, .speaker_diarization) is verified
against.
asr.js's config-fetch failure path fabricated a hardcoded backend/model
list that could silently drift from the server's real one (this is
exactly how the wrong Qwen3-ASR-2B/8B model IDs stuck around). Replaced it
with a visible error instead of a second source of truth.
Added scripts/smoke_test.sh: hits every backend's /transcribe or
/synthesize directly with a synthetic clip. Every regression found this
session (wrong model IDs, pyannote API drift, cuDNN path conflict) would
have shown up here immediately instead of waiting for a user to hit it.
Co-Authored-By: Claude Sonnet 5 <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>
- faster-whisper, Qwen3-ASR, gateway 각 컴포넌트별 Python venv 분리
- 기본언어 한국어(ko)
- 처리내역 탭: 목록/상세/원본파일 재생/삭제
- 백엔드별 동적 모델 드랍다운
- /history, /uploads API 추가
- 기존 인스턴스(port 18100) 보존, 신규 port 18101
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
