diff --git a/docker-compose.yml b/docker-compose.yml
index d63d011..b936d98 100644
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -11,12 +11,15 @@ services:
       - ./nginx/default.conf:/etc/nginx/conf.d/default.conf
     networks:
       - studio-net
+    # On attend que l'interface ET l'audio soient en état "Healthy"
     depends_on:
-      - open-webui
-      - audio-api # Ajouté ici : Nginx attend que l'audio soit prêt
+      open-webui:
+        condition: service_healthy
+      audio-api:
+        condition: service_started
     restart: always
 
-  # --- L'INTERFACE ---
+  # --- L'INTERFACE (Open WebUI) ---
   open-webui:
     image: ghcr.io/open-webui/open-webui:main
     container_name: open-webui
@@ -27,9 +30,14 @@ services:
       - webui_data:/app/backend/data
     networks:
       - studio-net
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8080/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
     restart: always
 
-  # --- LE CERVEAU ---
+  # --- LE CERVEAU (Ollama) ---
   ollama:
     image: ollama/ollama:latest
     container_name: ollama
@@ -48,17 +56,20 @@ services:
 
   # --- LE SERVICE AUDIO ---
   audio-api:
-    image: nvcr.io/nvidia/pytorch:23.10-py3 # On utilise une image robuste
+    image: nvcr.io/nvidia/pytorch:23.10-py3
     container_name: audio-api
     working_dir: /app
-    # On monte le dossier local pour que le script server.py soit trouvé
+    environment:
+      - NVIDIA_VISIBLE_DEVICES=all
     volumes:
       - ./services/audio-api:/app 
       - ./models:/app/models
       - ./outputs:/app/outputs
-    # L'astuce : On installe Gradio AVANT de lancer le script
+    # Correction de la commande pour s'assurer que les dossiers existent
     command: >
-      sh -c "pip install --no-cache-dir gradio faster-whisper && python3 server.py"
+      sh -c "mkdir -p models outputs && 
+             pip install --no-cache-dir gradio faster-whisper && 
+             python3 server.py"
     ports:
       - "7860:7860"
     deploy: