diff --git a/provisioning_script.sh b/provisioning_script.sh
index e69de29..264bd43 100644
--- a/provisioning_script.sh
+++ b/provisioning_script.sh
@@ -0,0 +1,146 @@
+#!/bin/bash
+# =============================================================
+# Studio IA - Design Sonore & Composition
+# Provisioning Script pour RTX 5060 Ti / CUDA 12.1
+# =============================================================
+
+set -eo pipefail
+echo "🎙️ Démarrage du provisioning Studio Audio IA..."
+
+# --- 1. MISE À JOUR SYSTÈME & DÉPENDANCES ---
+apt-get update -y && apt-get install -y \
+    python3.10 python3.10-venv python3-pip \
+    ffmpeg libsndfile1 sox \
+    ca-certificates curl gnupg lsb-release \
+    git wget nano screen
+
+# --- 2. INSTALLATION DOCKER (si non présent) ---
+if ! command -v docker &> /dev/null; then
+    echo "📦 Installation de Docker..."
+    curl -fsSL https://get.docker.com | bash
+fi
+
+# --- 3. LANCEMENT OPEN WEBUI ---
+echo "🖥️ Lancement d'Open WebUI sur le port 3000..."
+docker pull ghcr.io/open-webui/open-webui:main
+
+docker run -d \
+    --name open-webui \
+    --restart always \
+    --gpus all \
+    -p 3000:8080 \
+    -v open-webui:/app/backend/data \
+    -e WEBUI_SECRET_KEY="vastai-studio-secret-$(date +%s)" \
+    -e DEFAULT_MODELS="" \
+    -e ENABLE_SIGNUP=true \
+    ghcr.io/open-webui/open-webui:main
+
+echo "✅ Open WebUI lancé sur le port 3000"
+
+# --- 4. ENVIRONNEMENT PYTHON POUR AUDIOCRAFT ---
+echo "🐍 Création de l'environnement Python AudioCraft..."
+python3.10 -m venv /workspace/venv-audiocraft
+source /workspace/venv-audiocraft/bin/activate
+
+pip install --upgrade pip
+
+# PyTorch compatible CUDA 12.1
+pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
+
+# AudioCraft (MusicGen + AudioGen)
+pip install git+https://github.com/facebookresearch/audiocraft.git
+
+# Serveur API Gradio
+pip install gradio fastapi uvicorn pydantic scipy soundfile
+
+echo "✅ AudioCraft installé"
+
+# --- 5. API AUDIOCRAFT (script serveur) ---
+echo "🎵 Création du serveur API AudioCraft..."
+
+mkdir -p /workspace/audiocraft-api
+
+cat > /workspace/audiocraft-api/server.py << 'PYEOF'
+import gradio as gr
+import torch
+import scipy.io.wavfile
+import numpy as np
+import tempfile, os
+from audiocraft.models import MusicGen, AudioGen
+
+# Chargement des modèles (une seule fois)
+print("🔄 Chargement de MusicGen...")
+music_model = MusicGen.get_pretrained("facebook/musicgen-small")
+music_model.set_generation_params(duration=10)
+
+print("🔄 Chargement d'AudioGen...")
+audio_model = AudioGen.get_pretrained("facebook/audiogen-medium")
+audio_model.set_generation_params(duration=5)
+
+def generate_music(prompt: str, duration: int = 10):
+    """Génère de la musique à partir d'un prompt textuel."""
+    music_model.set_generation_params(duration=duration)
+    wav = music_model.generate([prompt])
+    wav_np = wav[0, 0].cpu().numpy()
+    sr = music_model.sample_rate
+    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as f:
+        scipy.io.wavfile.write(f.name, sr, (wav_np * 32767).astype(np.int16))
+        return f.name
+
+def generate_sound(prompt: str, duration: int = 5):
+    """Génère des bruitages et ambiances sonores."""
+    audio_model.set_generation_params(duration=duration)
+    wav = audio_model.generate([prompt])
+    wav_np = wav[0, 0].cpu().numpy()
+    sr = audio_model.sample_rate
+    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as f:
+        scipy.io.wavfile.write(f.name, sr, (wav_np * 32767).astype(np.int16))
+        return f.name
+
+# Interface Gradio
+with gr.Blocks(title="🎙️ Studio Audio IA") as demo:
+    gr.Markdown("## 🎙️ Studio Audio IA — AudioCraft API")
+    
+    with gr.Tab("🎵 Musique (MusicGen)"):
+        music_prompt = gr.Textbox(label="Prompt", placeholder="Calm piano music with soft strings, 120bpm...")
+        music_duration = gr.Slider(5, 30, value=10, step=5, label="Durée (secondes)")
+        music_btn = gr.Button("🎵 Générer la musique")
+        music_output = gr.Audio(label="Résultat")
+        music_btn.click(generate_music, inputs=[music_prompt, music_duration], outputs=music_output)
+    
+    with gr.Tab("🔊 Bruitages (AudioGen)"):
+        sound_prompt = gr.Textbox(label="Prompt", placeholder="Wood cracking, cathedral reverb, horror atmosphere...")
+        sound_duration = gr.Slider(2, 15, value=5, step=1, label="Durée (secondes)")
+        sound_btn = gr.Button("🔊 Générer le son")
+        sound_output = gr.Audio(label="Résultat")
+        sound_btn.click(generate_sound, inputs=[sound_prompt, sound_duration], outputs=sound_output)
+
+demo.launch(server_name="0.0.0.0", server_port=7860, share=False)
+PYEOF
+
+echo "✅ Serveur API AudioCraft créé"
+
+# --- 6. LANCEMENT DU SERVEUR AUDIOCRAFT EN ARRIÈRE-PLAN ---
+echo "🚀 Démarrage du serveur AudioCraft..."
+source /workspace/venv-audiocraft/bin/activate
+cd /workspace/audiocraft-api
+
+# Lancement dans un écran screen pour persistance
+screen -dmS audiocraft bash -c "
+    source /workspace/venv-audiocraft/bin/activate
+    cd /workspace/audiocraft-api
+    python server.py 2>&1 | tee /workspace/audiocraft.log
+"
+
+echo "✅ AudioCraft lancé sur le port 7860 (écran: 'audiocraft')"
+
+# --- 7. PERSISTANCE DES VARIABLES ---
+env >> /etc/environment
+
+echo ""
+echo "🎉 ============================================="
+echo "   Studio IA - Design Sonore prêt !"
+echo "   Open WebUI  → port 3000"
+echo "   AudioCraft  → port 7860"
+echo "   Logs        → /workspace/audiocraft.log"
+echo "============================================="
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