Update app.py
Browse files
app.py
CHANGED
@@ -113,215 +113,230 @@ class ImageGenerator:
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f"https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0"
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def create_interface():
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if __name__ == "__main__":
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app=create_interface()
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f"https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0"
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)
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# Chargement du token Hugging Face depuis les variables d'environnement
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token = os.getenv('HUGGINGFACE_TOKEN')
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if not token:
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logger.error("HUGGINGFACE_TOKEN non trouvé!")
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self.headers = {"Authorization": f"Bearer {token}"}
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logger.info("ImageGenerator initialisé")
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def _build_prompt(self, params: Dict[str, Any]) -> str:
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"""Construction de prompt améliorée"""
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style_info = ART_STYLES.get(params["style"], ART_STYLES["Neo Vintage"])
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prompt = f"{style_info['prompt_prefix']}, {params['subject']}"
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# Ajout des paramètres de composition
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if params.get("layout"):
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prompt += f", {COMPOSITION_PARAMS['Layouts'][params['layout']]}"
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if params.get("ambiance"):
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prompt += f", {COMPOSITION_PARAMS['Ambiances'][params['ambiance']]}"
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if params.get("palette"):
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prompt += f", {COMPOSITION_PARAMS['Palette'][params['palette']]}"
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# Ajout des ajustements fins
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if params.get("detail_level"):
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detail_strength = params["detail_level"]
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prompt += f", {'highly detailed' if detail_strength > 7 else 'moderately detailed'}"
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if params.get("contrast"):
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contrast_strength = params["contrast"]
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prompt += f", {'high contrast' if contrast_strength > 7 else 'balanced contrast'}"
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if params.get("saturation"):
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saturation_strength = params["saturation"]
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prompt += f", {'vibrant colors' if saturation_strength > 7 else 'subtle colors'}"
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if params.get("title"):
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prompt += f", with text saying '{params['title']}'"
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logger.debug(f"Prompt final: {prompt}")
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return prompt
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def generate(self, params: Dict[str, Any]) -> Tuple[Optional[Image.Image], str]:
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try:
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logger.info(f"Début de génération avec paramètres: {json.dumps(params)}")
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if 'Bearer None' in self.headers['Authorization']:
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return None,"⚠️ Erreur: Token Hugging Face non configuré"
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prompt = self._build_prompt(params)
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payload = {
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# Construction de la requête pour l'API Hugging Face
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“inputs”: prompt,
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“parameters”: {
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“negative_prompt”: ART_STYLES[params["style"]]["negative_prompt"],
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“num_inference_steps”: min(int(35 * (params["quality"]/100)), 40),
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“guidance_scale”: min(7.5 * (params["creativity"]/10), 10.0),
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“width”: 768,
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“height”: 768 if params["orientation"] == “Portrait” else 512
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}
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}
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logger.debug(f"Payload: {json.dumps(payload)}")
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response = requests.post(self.API_URL,
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headers=self.headers,
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json=payload,
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timeout=30)
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if response.status_code == 200:
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image = Image.open(io.BytesIO(response.content))
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return image,"✨ Création réussie!"
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else:
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error_msg = f"⚠️ Erreur API {response.status_code}: {response.text}"
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logger.error(error_msg)
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return None,error_msg
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except Exception as e:
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error_msg = f"⚠️ Erreur: {str(e)}"
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logger.exception("Erreur pendant la génération:")
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return None,error_msg
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finally:
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gc.collect()
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def create_interface():
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logger.info("Création de l'interface Gradio")
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css = """
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.container { max-width: 1200px; margin: auto; }
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.welcome { text-align: center; margin: 20px 0; padding: 20px; background: #3498db; border-radius: 10px; color: white; }
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.controls-group { background: #ecf0f1; padding: 15px; border-radius: 5px; margin: 10px 0; color: #2c3e50; }
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.advanced-controls { background: #bdc3c7; padding: 12px; border-radius: 5px; margin: 8px 0; }
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.gradio-slider input[type="range"] { accent-color: #3498db; }
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.gradio-button { transition: all 0.3s ease; }
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.gradio-button:hover { transform: translateY(-2px); box-shadow: 0 4px 6px rgba(52, 152, 219, 0.11),
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0 1px 3px rgba(0 ,0 ,0 ,0.08); }
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"""
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generator = ImageGenerator()
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with gr.Blocks(css=css) as app:
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gr.HTML("""
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<div class="welcome">
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<h1>🎨 Equity Artisan 4.0</h1>
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<p>Assistant de création d'affiches professionnelles avancé</p>
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</div>
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""")
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with gr.Column(elem_classes="container"):
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with gr.Group(elem_classes="controls-group"):
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gr.Markdown("### 📐 Format et Orientation")
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with gr.Row():
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format_size = gr.Dropdown(choices=["A4",
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A3",
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A2",
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A1",
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A0"],
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value="A4", label="Format")
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orientation = gr.Radio(choices=["Portrait",
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Paysage"],
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value="Portrait", label="Orientation")
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with gr.Group(elem_classes="controls-group"):
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gr.Markdown("### 🎨 Style et Composition")
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with gr.Row():
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style = gr.Dropdown(choices=list(ART_STYLES.keys()), value="Neo Vintage", label="Style artistique")
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layout = gr.Dropdown(choices=list(COMPOSITION_PARAMS["Layouts"].keys()), value="Centré", label="Composition")
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with gr.Row():
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ambiance = gr.Dropdown(choices=list(COMPOSITION_PARAMS["Ambiances"].keys()), value="Dramatique", label="Ambiance")
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palette = gr.Dropdown(choices=list(COMPOSITION_PARAMS["Palette"].keys()), value="Contrasté", label="Palette")
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with gr.Group(elem_classes="controls-group"):
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gr.Markdown("### 📝 Contenu")
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subject = gr.Textbox(label="Description", placeholder="Décrivez votre vision...")
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title = gr.Textbox(label="Titre", placeholder="Titre de l'affiche...")
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with gr.Group(elem_classes="advanced-controls"):
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gr.Markdown("### 🎯 Ajustements Fins")
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with gr.Row():
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detail_level = gr.Slider(minimum=1,
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maximum=10,
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value=7,
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step=1,
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label="Niveau de Détail")
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contrast = gr.Slider(minimum=1,
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maximum=10,
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value=5,
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step=1,
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label="Contraste")
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saturation = gr.Slider(minimum=1,
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maximum=10,
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value=5,
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step=1,
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label="Saturation")
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with gr.Group(elem_classes="controls-group"):
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with gr.Row():
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quality = gr.Slider(minimum=30,
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maximum=50,
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value=35,
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label="Qualité")
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creativity = gr.Slider(minimum=5,
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maximum=15,
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value=7.5,
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label="Créativité")
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with gr.Row():
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generate_btn = gr.Button("✨ Générer", variant="primary")
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clear_btn = gr.Button("🗑️ Effacer", variant="secondary")
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image_output = gr.Image(label="Aperçu")
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status = gr.Textbox(label="Statut", interactive=False)
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def generate(*args):
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logger.info("Démarrage d'une nouvelle génération")
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params = {
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“format_size”: args[0],
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“orientation”: args[1],
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“style”: args[2],
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“layout”: args[3],
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“ambiance”: args[4],
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“palette”: args[5],
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“subject”: args[6],
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“title”: args[7],
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“detail_level”: args[8],
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“contrast”: args[9],
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“saturation”: args[10],
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“quality”: args[11],
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“creativity”: args[12]
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}
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result = generator.generate(params)
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logger.info(f"Génération terminée avec statut: {result[1]}")
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return result
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generate_btn.click(
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generate,
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inputs=[format_size,
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orientation,
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style,
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layout,
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ambiance,
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palette,
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subject,
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title,
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detail_level,
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contrast,
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saturation,
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quality,
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creativity],
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outputs=[image_output,status]
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)
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clear_btn.click(lambda: (None,"🗑️ Image effacée"), outputs=[image_output,status])
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logger.info("Interface créée avec succès")
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return app
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if __name__ == "__main__":
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app=create_interface()
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