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import gradio as gr |
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import os |
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from PIL import Image, ImageDraw, ImageFont |
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import requests |
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import io |
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ART_STYLES = { |
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"Neo Vintage": { |
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"prompt_prefix": "vintage propaganda poster style, retro advertisement design", |
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"text_style": "clear vintage typography, screen printing style lettering, clean text layout", |
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"guidance": 12.5, |
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"steps": 70, |
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"negative_prompt": "blurry text, illegible writing, damaged letters, distorted fonts, gibberish" |
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}, |
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"Art Déco": { |
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"prompt_prefix": "art deco poster design, 1920s luxury advertisement style", |
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"text_style": "elegant art deco typography, decorative lettering, geometric text design", |
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"guidance": 13.0, |
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"steps": 75, |
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"negative_prompt": "modern fonts, messy text, unclear letters, random characters" |
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}, |
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"Moderne": { |
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"prompt_prefix": "modern minimalist poster design, contemporary professional layout", |
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"text_style": "clean sans-serif typography, precise text placement, minimal design", |
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"guidance": 11.5, |
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"steps": 65, |
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"negative_prompt": "cluttered text, unreadable fonts, messy layout, poor typography" |
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}, |
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"Pop Art": { |
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"prompt_prefix": "pop art style poster, comic book inspired design", |
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"text_style": "bold comic book typography, dynamic text placement, retro lettering", |
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"guidance": 11.0, |
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"steps": 60, |
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"negative_prompt": "subtle text, unclear typography, messy letters" |
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} |
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} |
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CUSTOM_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: #1e293b; border-radius: 10px; } |
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.quality-controls { margin: 10px 0; padding: 10px; background: #2d3748; border-radius: 5px; } |
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.text-input { background: #2d3748; padding: 15px; border-radius: 5px; margin: 10px 0; } |
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""" |
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def generate_enhanced_prompt(subject, style, title="", subtitle="", additional_details=""): |
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"""Génère un prompt optimisé pour le texte""" |
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style_config = ART_STYLES[style] |
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base_prompt = f"{style_config['prompt_prefix']}, {subject}" |
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text_elements = [] |
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if title: |
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text_elements.append(f"with main title text '{title}'") |
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if subtitle: |
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text_elements.append(f"subtitle text '{subtitle}'") |
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text_prompt = ", ".join(text_elements) |
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if text_prompt: |
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base_prompt += f", {text_prompt}, {style_config['text_style']}" |
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if additional_details: |
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base_prompt += f", {additional_details}" |
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return base_prompt, style_config['negative_prompt'] |
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def generate_image(format_size, orientation, subject, style, title, subtitle, quality, creativity, additional_details=""): |
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API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0" |
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headers = {"Authorization": f"Bearer {os.getenv('HUGGINGFACE_TOKEN')}"} |
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try: |
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width, height = (768, 1024) if format_size == "A4" else (1024, 1024) |
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if orientation == "Paysage": |
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width, height = height, width |
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enhanced_prompt, negative_prompt = generate_enhanced_prompt( |
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subject, style, title, subtitle, additional_details |
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) |
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print(f"Prompt: {enhanced_prompt}") |
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print(f"Negative prompt: {negative_prompt}") |
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payload = { |
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"inputs": enhanced_prompt, |
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"parameters": { |
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"negative_prompt": negative_prompt, |
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"num_inference_steps": int(ART_STYLES[style]['steps'] * (quality/100)), |
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"guidance_scale": ART_STYLES[style]['guidance'] * (creativity/10), |
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"width": width, |
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"height": height |
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} |
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} |
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response = requests.post(API_URL, headers=headers, json=payload, timeout=60) |
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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, f"✨ Création {style} réussie avec texte intégré!" |
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else: |
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print(f"Erreur API: {response.text}") |
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return None, f"⚠️ Erreur {response.status_code}: Ajustez les paramètres" |
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except Exception as e: |
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print(f"Exception: {str(e)}") |
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return None, f"⚠️ Erreur: {str(e)}" |
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def create_interface(): |
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with gr.Blocks(css=CUSTOM_CSS) as app: |
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gr.HTML(""" |
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<div class="welcome"> |
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<h1>🤖 Equity Artisan 3.0</h1> |
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<p>Créez des affiches professionnelles étape par étape avec notre assistant créatif augmenté.</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(): |
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gr.Markdown("### 📏 Étape 1: Format et Orientation") |
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with gr.Row(): |
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format_choice = gr.Dropdown( |
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choices=["A4", "A3", "A2", "A1", "A0"], |
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value="A4", |
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label="Format" |
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) |
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orientation = gr.Radio( |
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choices=["Portrait", "Paysage"], |
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value="Portrait", |
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label="Orientation" |
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) |
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with gr.Group(): |
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gr.Markdown("### 🎨 Étape 2: Création Visuelle") |
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with gr.Row(): |
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with gr.Column(): |
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style = gr.Dropdown( |
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choices=list(ART_STYLES.keys()), |
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value="Neo Vintage", |
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label="Style artistique", |
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info="Choisissez le style de votre affiche" |
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) |
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subject = gr.Textbox( |
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label="Sujet principal", |
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placeholder="Ex: loup, paysage urbain...", |
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info="Décrivez l'élément principal" |
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) |
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with gr.Group(elem_classes="text-input"): |
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gr.Markdown("#### 📝 Texte de l'affiche") |
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title = gr.Textbox( |
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label="Titre principal", |
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placeholder="Texte principal qui apparaîtra sur l'affiche", |
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info="Ce texte sera intégré de manière lisible" |
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) |
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subtitle = gr.Textbox( |
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label="Sous-titre (optionnel)", |
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placeholder="Texte secondaire plus petit", |
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info="Texte complémentaire" |
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) |
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additional_details = gr.Textbox( |
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lines=2, |
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label="Détails additionnels (optionnel)", |
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placeholder="Ajoutez des détails pour enrichir l'image...", |
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info="Plus de détails = meilleur résultat" |
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) |
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with gr.Group(elem_classes="quality-controls"): |
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quality = gr.Slider( |
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minimum=30, |
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maximum=50, |
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value=35, |
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step=5, |
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label="Qualité", |
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info="Influence le niveau de détail" |
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) |
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creativity = gr.Slider( |
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minimum=5, |
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maximum=15, |
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value=7.5, |
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step=0.5, |
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label="Créativité", |
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info="Balance entre fidélité et créativité" |
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) |
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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( |
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label="Aperçu", |
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type="pil" |
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) |
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status = gr.Textbox( |
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label="Status", |
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interactive=False, |
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value="Prêt à générer" |
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) |
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generate_btn.click( |
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generate_image, |
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inputs=[ |
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format_choice, |
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orientation, |
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subject, |
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style, |
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title, |
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subtitle, |
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quality, |
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creativity, |
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additional_details |
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], |
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outputs=[image_output, status] |
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) |
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clear_btn.click( |
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lambda: (None, "Image effacée"), |
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outputs=[image_output, status] |
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) |
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return app |
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if __name__ == "__main__": |
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app = create_interface() |
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app.launch() |