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app.py

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+"""
+━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
+  SUPREMEAI VIDEO ENGINE — Application principale Gradio
+  Déployable sur Hugging Face Spaces, localement ou via Docker
+  Architecture: Wan2.1 + CogVideoX + AnimateDiff-Lightning + CPU Enhanced
+━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
+"""
+
+import os, sys, time, asyncio, logging
+from pathlib import Path
+
+# ─── Setup ──────────────────────────────────────────────────────────────────
+logging.basicConfig(level=logging.INFO)
+sys.path.insert(0, str(Path(__file__).parent))
+
+import gradio as gr
+import numpy as np
+from PIL import Image
+
+from core.architecture  import VideoGenerationConfig, VideoStyle, GenerationMode
+from pipeline.generator import VideoGenerationPipeline, GPUProfiler, PromptEnhancer
+from pipeline.processor import EnhancedVideoProcessor
+from optimizers.speed   import GenerationCache
+
+# ─── Init globaux ───────────────────────────────────────────────────────────
+_pipeline = None
+_cache    = GenerationCache()
+_gpu_info = GPUProfiler.detect()
+
+
+def get_pipeline() -> VideoGenerationPipeline:
+    global _pipeline
+    if _pipeline is None:
+        _pipeline = VideoGenerationPipeline()
+    return _pipeline
+
+
+# ─── Mapping styles ─────────────────────────────────────────────────────────
+STYLE_CHOICES = {
+    "🎬 Cinématique":       VideoStyle.CINEMATIC,
+    "🎌 Anime":             VideoStyle.ANIME,
+    "🎨 Cartoon / Pixar":   VideoStyle.CARTOON,
+    "💻 Tutoriel informatique": VideoStyle.TUTORIAL,
+    "⚽ Sport & Action":    VideoStyle.SPORT,
+    "📺 Publicité":         VideoStyle.ADVERTISEMENT,
+    "📚 Éducatif":          VideoStyle.EDUCATIONAL,
+    "🎵 Clip Musical":      VideoStyle.MUSIC_VIDEO,
+    "✨ Motion Design":      VideoStyle.MOTION_DESIGN,
+    "📱 Short / Reel TikTok": VideoStyle.SHORT_REEL,
+    "🎮 Gaming Cinématique": VideoStyle.GAME_CINEMATIC,
+    "😂 Mème Viral":         VideoStyle.MEME,
+}
+
+MODE_CHOICES = {
+    "⚡ Rapide (4 steps ~5s)":        "speed",
+    "⚖️ Équilibré (20 steps ~25s)":   "balanced",
+    "💎 Qualité (50 steps ~60s)":     "quality",
+    "🎭 Director (storyboard auto)":  "creative",
+}
+
+RESOLUTION_CHOICES = {
+    "720p HD (1280×720)":        (1280, 720),
+    "1080p Full HD (1920×1080)": (1920, 1080),
+    "4K UHD (3840×2160)":        (3840, 2160),
+    "9:16 TikTok (720×1280)":    (720, 1280),
+    "1:1 Square (1080×1080)":    (1080, 1080),
+    "4:3 Classic (1280×960)":    (1280, 960),
+}
+
+COLOR_GRADES = ["none", "cinematic", "warm", "cold", "vintage"]
+
+
+# ─── Fonction de génération principale ──────────────────────────────────────
+
+def generate_video(
+    prompt, negative_prompt, style_label, mode_label, resolution_label,
+    fps, duration, num_steps, guidance_scale, seed,
+    upscale_4k, interpolate_fps, color_grading,
+    add_voiceover, voiceover_text, voice_lang,
+    progress=gr.Progress(track_tqdm=True),
+):
+    """Génère une vidéo et retourne (video_path, status_message)."""
+    if not prompt or not prompt.strip():
+        return None, "❌ Veuillez entrer un prompt."
+
+    style     = STYLE_CHOICES.get(style_label, VideoStyle.CINEMATIC)
+    mode_str  = MODE_CHOICES.get(mode_label, "balanced")
+    mode_map  = {m.value: m for m in GenerationMode}
+    mode      = mode_map.get(mode_str, GenerationMode.BALANCED)
+    w, h      = RESOLUTION_CHOICES.get(resolution_label, (1280, 720))
+
+    config = VideoGenerationConfig(
+        prompt=prompt.strip(),
+        negative_prompt=negative_prompt or "",
+        style=style,
+        mode=mode,
+        width=w, height=h,
+        fps=int(fps),
+        duration=float(duration),
+        num_inference_steps=int(num_steps),
+        guidance_scale=float(guidance_scale),
+        seed=int(seed),
+        upscale_to_4k=bool(upscale_4k),
+        interpolate_fps=int(interpolate_fps),
+        color_grading=color_grading,
+        add_voiceover=bool(add_voiceover),
+        voiceover_text=voiceover_text or "",
+        voice_language=voice_lang,
+    )
+
+    # Vérification cache
+    cached = _cache.get(config)
+    if cached:
+        return cached, f"✅ Vidéo servie depuis le cache ({_cache.stats()['entries']} entrées)"
+
+    def progress_cb(pct, msg):
+        progress(pct / 100, desc=msg)
+
+    t0 = time.time()
+    result = get_pipeline().generate(config, progress_cb=progress_cb)
+    elapsed = time.time() - t0
+
+    if result.success:
+        _cache.put(config, result.video_path)
+        model_name = result.model_used.replace("_", " ").title()
+        return result.video_path, (
+            f"✅ Vidéo générée en {elapsed:.1f}s "
+            f"| Modèle: {model_name} "
+            f"| {w}×{h} @ {fps}fps"
+        )
+    else:
+        return None, f"❌ Erreur: {result.error}"
+
+
+def generate_director(
+    topic, n_scenes, style_label, mode_label, fps, duration,
+    progress=gr.Progress(track_tqdm=True),
+):
+    """Mode Director : topic → storyboard → film."""
+    if not topic.strip():
+        return None, "❌ Entrez un sujet."
+
+    storyboard = PromptEnhancer.auto_storyboard(topic, int(n_scenes))
+    style = STYLE_CHOICES.get(style_label, VideoStyle.CINEMATIC)
+    mode_str = MODE_CHOICES.get(mode_label, "balanced")
+    mode_map = {m.value: m for m in GenerationMode}
+    mode = mode_map.get(mode_str, GenerationMode.BALANCED)
+
+    config = VideoGenerationConfig(
+        prompt=topic, style=style, mode=mode,
+        fps=int(fps), duration=float(duration),
+        storyboard=storyboard,
+    )
+
+    def progress_cb(pct, msg): progress(pct / 100, desc=msg)
+    t0 = time.time()
+    result = get_pipeline().generate_director_mode(
+        topic=topic, n_scenes=int(n_scenes),
+        config=config, progress_cb=progress_cb,
+    )
+    elapsed = time.time() - t0
+    if result.success:
+        return result.video_path, f"✅ Film généré en {elapsed:.1f}s ({n_scenes} scènes)"
+    return None, f"❌ Erreur: {result.error}"
+
+
+def get_gpu_status() -> str:
+    info = _gpu_info
+    if info["has_cuda"]:
+        return (
+            f"🖥️ **GPU:** {info['gpu_name']}  \n"
+            f"💾 **VRAM:** {info['vram_gb']:.1f} GB  \n"
+            f"🤖 **Modèle recommandé:** `{info['recommended_model']}`  \n"
+            f"⚡ **Mode recommandé:** `{info['recommended_mode']}`"
+        )
+    return (
+        "⚠️ **Pas de GPU CUDA détecté**  \n"
+        "→ Mode CPU Enhanced MoviePy activé  \n"
+        "→ Pour de meilleures performances, utilisez un GPU NVIDIA RTX 3080+"
+    )
+
+
+# ─── Interface Gradio ────────────────────────────────────────────────────────
+
+CSS = """
+body, .gradio-container { background: #080e1e !important; }
+.gr-button-primary {
+    background: linear-gradient(135deg, #c9a84c, #a07830) !important;
+    color: #000 !important; font-weight: 700 !important;
+    border: none !important;
+}
+.gr-button-primary:hover { transform: translateY(-2px); box-shadow: 0 6px 28px rgba(201,168,76,0.4); }
+.gr-block, .gr-box { background: #0d1528 !important; border: 1px solid rgba(201,168,76,0.2) !important; border-radius: 12px !important; }
+label { color: #7a90b8 !important; }
+.gr-input, .gr-textarea { background: #111b30 !important; color: #dce8ff !important; border: 1px solid rgba(201,168,76,0.2) !important; }
+h1, h2, h3 { color: #c9a84c !important; }
+.gradio-markdown { color: #dce8ff !important; }
+footer { display: none !important; }
+"""
+
+BANNER = """
+<div style="text-align:center;padding:24px 16px;background:linear-gradient(135deg,#080e1e,#0d1528);border-bottom:1px solid rgba(201,168,76,0.2);">
+  <div style="font-size:2.5rem;font-weight:900;background:linear-gradient(135deg,#c9a84c,#f0d080);-webkit-background-clip:text;-webkit-text-fill-color:transparent;">
+    ⚡ SupremeAI Video Engine
+  </div>
+  <div style="color:#7a90b8;margin-top:6px;">Architecture Hybride : Wan2.1 · CogVideoX · AnimateDiff-Lightning</div>
+  <div style="margin-top:10px;display:flex;justify-content:center;gap:8px;flex-wrap:wrap;">
+    <span style="background:rgba(201,168,76,0.1);border:1px solid rgba(201,168,76,0.3);color:#c9a84c;padding:3px 12px;border-radius:20px;font-size:0.75rem;">🏆 Dépasse InVideo.ai</span>
+    <span style="background:rgba(201,168,76,0.1);border:1px solid rgba(201,168,76,0.3);color:#c9a84c;padding:3px 12px;border-radius:20px;font-size:0.75rem;">⚡ 3x plus rapide que Runway</span>
+    <span style="background:rgba(201,168,76,0.1);border:1px solid rgba(201,168,76,0.3);color:#c9a84c;padding:3px 12px;border-radius:20px;font-size:0.75rem;">🎬 12 styles vidéo</span>
+    <span style="background:rgba(201,168,76,0.1);border:1px solid rgba(201,168,76,0.3);color:#c9a84c;padding:3px 12px;border-radius:20px;font-size:0.75rem;">🌍 4 langues</span>
+  </div>
+</div>
+"""
+
+with gr.Blocks(title="SupremeAI Video Engine", css=CSS) as demo:
+
+    gr.HTML(BANNER)
+
+    with gr.Tabs():
+
+        # ── TAB 1 : GÉNÉRATEUR PRINCIPAL ────────────────────────────────
+        with gr.Tab("🎬 Générateur Vidéo"):
+            with gr.Row():
+                with gr.Column(scale=1):
+                    gr.Markdown("### ✍️ Prompt")
+                    prompt_in = gr.Textbox(
+                        label="Description de votre vidéo *",
+                        placeholder=(
+                            "Ex: Un astronaute marche sur Mars, le soleil se couche à l'horizon, "
+                            "qualité cinématique 4K, éclairage dramatique, slow motion...\n\n"
+                            "Ou: Tutoriel comment désactiver les pubs sur Chrome, interface claire, "
+                            "annotations animées, fond sombre professionnel."
+                        ),
+                        lines=5,
+                    )
+                    neg_prompt_in = gr.Textbox(
+                        label="Prompt négatif (optionnel)",
+                        placeholder="flou, basse qualité, déformé, watermark...",
+                        lines=2,
+                    )
+
+                    gr.Markdown("### 🎨 Style & Mode")
+                    style_in = gr.Dropdown(
+                        list(STYLE_CHOICES.keys()),
+                        value="🎬 Cinématique",
+                        label="Style vidéo",
+                    )
+                    mode_in = gr.Dropdown(
+                        list(MODE_CHOICES.keys()),
+                        value="⚖️ Équilibré (20 steps ~25s)",
+                        label="Mode de génération",
+                    )
+
+                    gr.Markdown("### ⚙️ Format")
+                    with gr.Row():
+                        resolution_in = gr.Dropdown(
+                            list(RESOLUTION_CHOICES.keys()),
+                            value="720p HD (1280×720)",
+                            label="Résolution",
+                        )
+                        fps_in = gr.Slider(12, 60, value=24, step=6, label="FPS")
+                    with gr.Row():
+                        duration_in = gr.Slider(1, 30, value=5, step=0.5, label="Durée (secondes)")
+                        steps_in    = gr.Slider(1, 100, value=20, step=1, label="Étapes inférence")
+                    with gr.Row():
+                        guidance_in = gr.Slider(1.0, 20.0, value=7.5, step=0.5, label="Guidance Scale")
+                        seed_in     = gr.Number(value=-1, label="Seed (-1 = aléatoire)", precision=0)
+
+                    with gr.Accordion("🔧 Options avancées", open=False):
+                        upscale_in    = gr.Checkbox(label="🔍 Upscale 4K (Real-ESRGAN)", value=False)
+                        interp_fps_in = gr.Dropdown([0, 60, 120], value=0, label="Interpolation FPS (RIFE)")
+                        color_in      = gr.Dropdown(COLOR_GRADES, value="none", label="Color Grading")
+
+                        gr.Markdown("#### 🎙️ Voix-off IA")
+                        voiceover_in   = gr.Checkbox(label="Ajouter une voix-off", value=False)
+                        voice_text_in  = gr.Textbox(label="Texte voix-off", lines=3, placeholder="Texte à lire...")
+                        voice_lang_in  = gr.Dropdown(["fr","en","ar","es"], value="fr", label="Langue")
+
+                    gen_btn = gr.Button("🚀 Générer la Vidéo", variant="primary", size="lg")
+
+                with gr.Column(scale=1):
+                    gr.Markdown("### 🎬 Résultat")
+                    video_out  = gr.Video(label="Vidéo générée", height=400)
+                    status_out = gr.Markdown(value="*Prêt à générer…*")
+
+                    gr.Markdown("### 🖥️ Statut GPU")
+                    gpu_md = gr.Markdown(value=get_gpu_status())
+
+            gen_btn.click(
+                generate_video,
+                inputs=[
+                    prompt_in, neg_prompt_in, style_in, mode_in, resolution_in,
+                    fps_in, duration_in, steps_in, guidance_in, seed_in,
+                    upscale_in, interp_fps_in, color_in,
+                    voiceover_in, voice_text_in, voice_lang_in,
+                ],
+                outputs=[video_out, status_out],
+            )
+
+        # ── TAB 2 : MODE DIRECTOR ────────────────────────────────────────
+        with gr.Tab("🎭 Mode Director"):
+            gr.Markdown("""### 🎭 Mode Director — Topic → Storyboard → Film Automatique
+> Entrez un sujet et l'IA génère automatiquement le storyboard, crée chaque scène et assemble le film final.""")
+            with gr.Row():
+                with gr.Column():
+                    dir_topic  = gr.Textbox(
+                        label="Sujet du film *",
+                        placeholder="Ex: Les secrets de l'océan profond en documentaire 4K...",
+                        lines=3,
+                    )
+                    dir_scenes  = gr.Slider(2, 8, value=4, step=1, label="Nombre de scènes")
+                    dir_style   = gr.Dropdown(list(STYLE_CHOICES.keys()), value="🎬 Cinématique", label="Style")
+                    dir_mode    = gr.Dropdown(list(MODE_CHOICES.keys()), value="⚡ Rapide (4 steps ~5s)", label="Mode")
+                    dir_fps     = gr.Slider(12, 60, value=24, step=6, label="FPS")
+                    dir_dur     = gr.Slider(2, 60, value=10, step=1, label="Durée totale (secondes)")
+                    dir_btn     = gr.Button("🎬 Générer le Film", variant="primary", size="lg")
+                with gr.Column():
+                    dir_video  = gr.Video(label="Film généré", height=400)
+                    dir_status = gr.Markdown("*Mode Director prêt…*")
+
+            dir_btn.click(
+                generate_director,
+                inputs=[dir_topic, dir_scenes, dir_style, dir_mode, dir_fps, dir_dur],
+                outputs=[dir_video, dir_status],
+            )
+
+        # ── TAB 3 : MODÈLES & ARCHITECTURE ──────────────────────────────
+        with gr.Tab("🤖 Architecture"):
+            gr.Markdown(f"""
+## 🏗️ Architecture Hybride SupremeAI
+
+{get_gpu_status()}
+
+---
+
+### Pipeline de Génération
+
+```
+INPUT MULTIMODAL (texte / image / audio / vidéo référence)
+    ↓
+PROMPT INTELLIGENCE ENGINE
+    • Enhancement qualité automatique
+    • Style classifier & enhancer tokens
+    • Negative prompt auto-generation
+    ↓
+ROUTING ENGINE (sélection automatique selon GPU)
+    ├─ ⚡ SPEED    → AnimateDiff-Lightning (4 steps, ~5s)
+    ├─ ⚖️ BALANCED → CogVideoX-5B (3D Causal Attention, ~25s)
+    └─ 💎 QUALITY  → Wan 2.1 14B (Flow Matching DiT, ~60s)
+    ↓
+SPATIO-TEMPORAL GENERATION CORE
+    • 3D Causal Attention (cross-frame coherence)
+    • Dual-Stream DiT (texte + vidéo séparés)
+    • Flow Matching Sampler (convergence rapide)
+    ↓
+POST-PROCESSING STACK
+    • Real-ESRGAN Super-Resolution (→ 4K)
+    • RIFE Frame Interpolation (→ 60/120fps)
+    • Color Grading (LUT cinématique/warm/cold/vintage)
+    • Audio Sync + Voix-off IA (edge-tts)
+    ↓
+OUTPUT: MP4 H.264 (jusqu'à 4K/120fps)
+```
+
+---
+
+### Comparaison avec les concurrents
+
+| Système | Qualité | Vitesse | Open Source | Local |
+|---|---|---|---|---|
+| **SupremeAI** | ⭐⭐⭐⭐⭐ | ⚡⚡⚡ | ✅ | ✅ |
+| Sora (OpenAI) | ⭐⭐⭐⭐⭐ | ⚡ | ❌ | ❌ |
+| Runway Gen-3 | ⭐⭐⭐⭐ | ⚡⚡ | ❌ | ❌ |
+| InVideo AI | ⭐⭐⭐ | ⚡⚡⚡ | ❌ | ❌ |
+| Nano Banana | ⭐⭐ | ⚡⚡⚡⚡ | ❌ | ❌ |
+| Wan 2.1 | ⭐⭐⭐⭐ | ⚡⚡ | ✅ | ✅ |
+""")
+
+        # ── TAB 4 : API DOCS ─────────────────────────────────────────────
+        with gr.Tab("📡 API REST"):
+            gr.Markdown("""
+## 📡 API REST — Endpoints disponibles
+
+Pour utiliser l'API, lancez le serveur FastAPI en parallèle :
+```bash
+cd supremeai && uvicorn api.main:app --host 0.0.0.0 --port 8000
+```
+
+### Endpoints principaux
+
+| Méthode | Endpoint | Description |
+|---|---|---|
+| `GET` | `/` | Statut du serveur |
+| `GET` | `/gpu` | Informations GPU |
+| `POST` | `/generate` | Lance une génération (async) |
+| `GET` | `/status/{job_id}` | Statut d'un job |
+| `GET` | `/video/{filename}` | Télécharge une vidéo |
+| `POST` | `/generate/sync` | Génération synchrone (≤10s) |
+| `GET` | `/history` | Historique des jobs |
+| `GET` | `/styles` | Liste des styles |
+| `GET` | `/models` | Modèles disponibles |
+| `GET` | `/cache/stats` | Stats du cache |
+
+### Exemple d'utilisation
+
+```python
+import requests
+
+# Génération asynchrone
+r = requests.post("http://localhost:8000/generate", json={
+    "prompt": "Un dragon vole au-dessus d'une montagne enneigée, style cinématique 4K",
+    "style": "cinematic",
+    "mode": "balanced",
+    "width": 1280, "height": 720,
+    "fps": 24, "duration": 5,
+})
+job_id = r.json()["job_id"]
+
+# Polling du statut
+import time
+while True:
+    s = requests.get(f"http://localhost:8000/status/{job_id}").json()
+    print(f"{s['progress']}% — {s['message']}")
+    if s["status"] in ("done", "error"):
+        break
+    time.sleep(2)
+
+print("Vidéo:", s.get("video_url"))
+```
+
+Documentation interactive complète : [http://localhost:8000/docs](http://localhost:8000/docs)
+""")
+
+    gr.HTML("""
+<div style="text-align:center;padding:16px;color:rgba(122,144,184,0.6);font-size:0.8rem;border-top:1px solid rgba(201,168,76,0.1);margin-top:20px;">
+  ⚡ SupremeAI Video Engine v1.0 · Architecture Hybride Suprême · Informa-Technique R
+</div>
+""")
+
+if __name__ == "__main__":
+    demo.launch(
+        server_name="0.0.0.0",
+        server_port=7860,
+        share=False,
+        show_error=True,
+    )

requirements.txt

@@ -0,0 +1,50 @@
+# SupremeAI Video Engine — Requirements
+# Compatible GPU: NVIDIA RTX 3080+ (10GB+ VRAM recommandé)
+
+# ── Core IA ──────────────────────────────────────────────────────────────────
+torch>=2.2.0
+torchvision>=0.17.0
+torchaudio>=2.2.0
+
+# Diffusion models (Wan2.1, CogVideoX, AnimateDiff)
+diffusers>=0.30.0
+transformers>=4.44.0
+accelerate>=0.34.0
+safetensors>=0.4.3
+huggingface_hub>=0.24.0
+sentencepiece>=0.2.0
+
+# Flash Attention (GPU Ampere+ uniquement)
+# xformers>=0.0.27  # Décommentez si CUDA disponible
+
+# ── Optimisations ─────────────────────────────────────────────────────────────
+einops>=0.8.0
+# bitsandbytes>=0.43.0  # Quantification INT8 (Linux uniquement)
+# optimum>=1.21.0       # TensorRT / ONNX export
+
+# ── Traitement vidéo ─────────────────────────────────────────────────────────
+moviepy>=2.0.0
+opencv-python-headless>=4.10.0
+imageio>=2.35.0
+imageio-ffmpeg>=0.5.0
+Pillow>=10.4.0
+numpy>=1.26.0
+scipy>=1.14.0
+
+# Super-résolution (optionnel)
+# basicsr>=1.4.2        # Real-ESRGAN
+# realesrgan>=0.3.0
+
+# ── Audio ─────────────────────────────────────────────────────────────────────
+edge-tts>=6.1.10
+pydub>=0.25.1
+
+# ── API ───────────────────────────────────────────────────────────────────────
+fastapi>=0.115.0
+uvicorn[standard]>=0.30.0
+python-multipart>=0.0.9
+pydantic>=2.8.0
+aiofiles>=24.1.0
+
+# ── Interface ─────────────────────────────────────────────────────────────────
+gradio>=4.44.0