#!/bin/bash
# =============================================================
# Studio IA - Design Sonore & Composition
# Version sans Docker - natif dans le container Vast.ai
# =============================================================

set -eo pipefail
echo "🎙️ Démarrage du provisioning Studio Audio IA..."

# --- 1. DÉPENDANCES SYSTÈME ---
apt-get update -y && apt-get install -y \
    ffmpeg libsndfile1 sox \
    git wget nano screen python3-pip

# --- 2. OPEN WEBUI (pip depuis GitHub) ---
echo "🖥️ Installation d'Open WebUI..."
pip install 'open-webui==0.5.20' --extra-index-url https://pypi.org/simple/

# --- 3. PYTORCH + AUDIOCRAFT ---
echo "🐍 Installation de PyTorch CUDA 12.1..."
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121

echo "🎵 Installation d'AudioCraft..."
pip install git+https://github.com/facebookresearch/audiocraft.git
pip install gradio scipy soundfile

# --- 4. CRÉATION DU SERVEUR AUDIOCRAFT ---
mkdir -p /root/audiocraft-api

cat > /root/audiocraft-api/server.py << 'PYEOF'
import gradio as gr
import torch
import scipy.io.wavfile
import numpy as np
import tempfile
from audiocraft.models import MusicGen, AudioGen

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, duration=10):
    music_model.set_generation_params(duration=duration)
    wav = music_model.generate([prompt])
    wav_np = wav[0, 0].cpu().numpy()
    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as f:
        scipy.io.wavfile.write(f.name, music_model.sample_rate, (wav_np * 32767).astype(np.int16))
        return f.name

def generate_sound(prompt, duration=5):
    audio_model.set_generation_params(duration=duration)
    wav = audio_model.generate([prompt])
    wav_np = wav[0, 0].cpu().numpy()
    with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as f:
        scipy.io.wavfile.write(f.name, audio_model.sample_rate, (wav_np * 32767).astype(np.int16))
        return f.name

with gr.Blocks(title="🎙️ Studio Audio IA") as demo:
    gr.Markdown("## 🎙️ Studio Audio IA")
    with gr.Tab("🎵 Musique"):
        p1 = gr.Textbox(label="Prompt")
        d1 = gr.Slider(5, 30, value=10, step=5, label="Durée (s)")
        b1 = gr.Button("Générer")
        o1 = gr.Audio(label="Résultat")
        b1.click(generate_music, inputs=[p1, d1], outputs=o1)
    with gr.Tab("🔊 Bruitages"):
        p2 = gr.Textbox(label="Prompt")
        d2 = gr.Slider(2, 15, value=5, label="Durée (s)")
        b2 = gr.Button("Générer")
        o2 = gr.Audio(label="Résultat")
        b2.click(generate_sound, inputs=[p2, d2], outputs=o2)

demo.launch(server_name="0.0.0.0", server_port=7860, share=False)
PYEOF

# --- 5. LANCEMENT DES SERVICES ---
echo "🚀 Lancement d'Open WebUI sur le port 3000..."
screen -dmS openwebui bash -c "open-webui serve --port 3000 2>&1 | tee /root/openwebui.log"

echo "🚀 Lancement d'AudioCraft sur le port 7860..."
screen -dmS audiocraft bash -c "python /root/audiocraft-api/server.py 2>&1 | tee /root/audiocraft.log"

env >> /etc/environment

echo "🎉 Studio Audio IA prêt !"
echo "   Open WebUI  → port 3000"
echo "   AudioCraft  → port 7860"