Initial release: DictIA v0.8.14-alpha (fork de Speakr, AGPL-3.0)

deployment/profiles/docker-compose.dictia8.yml

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+# =============================================================================
+# DictIA 8 — Docker Compose
+# GPU : RTX 5060 (8 Go VRAM)
+# =============================================================================
+#
+# Services :
+#   - dictia        : Application principale DictIA
+#   - whisperx-asr  : Service de transcription WhisperX Large-v3
+#
+# Démarrage :
+#   1. cp config/env.dictia8.example .env
+#   2. Remplir TEXT_MODEL_API_KEY dans .env
+#   3. docker compose -f config/docker-compose.dictia8.yml up -d
+# =============================================================================
+
+services:
+
+  # ---------------------------------------------------------------------------
+  # Application DictIA
+  # ---------------------------------------------------------------------------
+  dictia:
+    image: dictia:latest
+    container_name: dictia
+    restart: unless-stopped
+    ports:
+      - "8899:8899"
+    env_file:
+      - ../.env
+    environment:
+      - LOG_LEVEL=ERROR
+    volumes:
+      - ../uploads:/data/uploads
+      - ../instance:/data/instance
+      # Décommenter pour l'export automatique :
+      # - ../exports:/data/exports
+      # Décommenter pour le traitement automatique :
+      # - ../auto-process:/data/auto-process
+    depends_on:
+      - whisperx-asr
+    networks:
+      - dictia-net
+
+  # ---------------------------------------------------------------------------
+  # WhisperX ASR — Transcription locale (WhisperX Large-v3)
+  # RTX 5060 : BATCH_SIZE=16, COMPUTE_TYPE=float16
+  # ---------------------------------------------------------------------------
+  whisperx-asr:
+    image: murtazanasir/whisperx-asr-service:latest
+    container_name: whisperx-asr
+    restart: unless-stopped
+    environment:
+      - HF_TOKEN=${HF_TOKEN}
+      - DEVICE=cuda
+      - COMPUTE_TYPE=float16
+      - BATCH_SIZE=16
+      - DEFAULT_MODEL=large-v3
+    volumes:
+      - whisperx-models:/root/.cache
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+    networks:
+      - dictia-net
+
+networks:
+  dictia-net:
+    driver: bridge
+
+volumes:
+  whisperx-models:
+    driver: local