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LOT 1 - Optimizare script build -Instalare mono comanda

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Dezvoltari Evotech 2026-06-27 06:42:02 -07:00
parent 5380c3fc63
commit 42ff22bf85
127 changed files with 16163 additions and 532 deletions
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8
ai_platform/modules/audio/INDEX.md
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@ -8,7 +8,7 @@ Audio transcription service for DIDI media analysis. Whisper-based (M17-Whisper,
- Default model: `large-v3-turbo` (809M params, ~6GB VRAM int8)
- GPU: CUDA (shared GPU 0 with Qwen3.5-35B-A3B)
- URL (Dev): `http://10.11.10.17:54300/v1/audio/transcriptions`
- Container: `didiAI-audio-api` (GPU host)
- Container: `didiAI-audio` (GPU host)
- Auth: none on the service itself; agent-v3 uses bearer token via `M17_WHISPER_TOKEN` (enforced by gateway/nginx if configured)
## Ce face
@ -92,8 +92,8 @@ cp ../.env.example .env # edit values
docker compose restart audio-api # quick restart
```
- Container name: `didiAI-audio-api`
- Image: `didiai-audio-api`
- Container name: `didiAI-audio`
- Image: `didiai-audio:audit`
- Network: `didi-network` (external, shared with other AI modules)
- GPU reservation: NVIDIA driver, device `0`
- Healthcheck: HTTP `GET /health` every 30s, 60s start period (model load)
@ -111,7 +111,7 @@ docker compose restart audio-api # quick restart
modules/audio/
├── deploy/
│ ├── deploy.sh # CLI wrapper
│ ├── docker-compose.yml # didiAI-audio-api service
│ ├── docker-compose.yml # didiAI-audio service
│ ├── Dockerfile # CUDA + faster-whisper image
│ └── .env # runtime config
├── src/audio/