a32b0acb09
qwen3 backend: model list pointed at nonexistent HF repos (Qwen3-ASR-2B/8B don't exist), and inference went through the generic HF ASR pipeline with Whisper-only options (return_timestamps, task/language generate_kwargs) that Qwen3-ASR's chat-style architecture doesn't support. Switched to the real 0.6B/1.7B-hf checkpoints and drive them via processor.apply_transcription_request() + model.generate(). Also added an ffmpeg pre-conversion step since the model's feature extractor can't decode m4a via librosa. faster-whisper backend: speaker diarization was broken by two pyannote.audio API changes it hadn't caught up with (use_auth_token= renamed to token=, and pipeline() now returns a DiarizeOutput wrapper instead of an Annotation directly). Also pinned LD_LIBRARY_PATH for that worker so it picks up its own venv's cuDNN instead of the older one shadowing it via the container's global LD_LIBRARY_PATH, which crashed pyannote's GPU init. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
50 lines
1.3 KiB
Plaintext
50 lines
1.3 KiB
Plaintext
[supervisord]
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nodaemon=true
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logfile=/dev/null
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pidfile=/tmp/supervisord.pid
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[program:faster_whisper]
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command=/opt/venvs/faster_whisper/bin/python /app/asr/workers/faster_whisper_worker.py --host 0.0.0.0 --port 8001
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directory=/app
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environment=LD_LIBRARY_PATH="/opt/venvs/faster_whisper/lib/python3.11/site-packages/nvidia/cudnn/lib:%(ENV_LD_LIBRARY_PATH)s"
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autostart=true
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autorestart=true
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stdout_logfile=/dev/fd/1
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stdout_logfile_maxbytes=0
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stderr_logfile=/dev/fd/2
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stderr_logfile_maxbytes=0
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priority=10
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[program:qwen3]
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command=/opt/venvs/qwen3/bin/python /app/asr/workers/qwen3_worker.py --host 0.0.0.0 --port 8004
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directory=/app
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autostart=true
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autorestart=true
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stdout_logfile=/dev/fd/1
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stdout_logfile_maxbytes=0
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stderr_logfile=/dev/fd/2
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stderr_logfile_maxbytes=0
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priority=20
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[program:xtts]
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command=/opt/venvs/xtts/bin/python /app/tts/workers/xtts_worker.py --host 0.0.0.0 --port 8005
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directory=/app
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autostart=true
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autorestart=true
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stdout_logfile=/dev/fd/1
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stdout_logfile_maxbytes=0
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stderr_logfile=/dev/fd/2
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stderr_logfile_maxbytes=0
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priority=15
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[program:gateway]
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command=/opt/venvs/gateway/bin/python -m uvicorn main:app --host 0.0.0.0 --port 8000
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directory=/app
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autostart=true
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autorestart=true
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stdout_logfile=/dev/fd/1
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stdout_logfile_maxbytes=0
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stderr_logfile=/dev/fd/2
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stderr_logfile_maxbytes=0
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priority=30
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