Update app.py
Browse files
app.py
CHANGED
@@ -108,7 +108,9 @@ COMPOSITION_PARAMS = {
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"Terre": "earthy color palette, natural tones",
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"Néon": "neon color palette, vibrant glowing colors"
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}
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-
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def __init__(self):
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self.API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0"
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token = os.getenv('HUGGINGFACE_TOKEN')
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@@ -132,7 +134,9 @@ COMPOSITION_PARAMS = {
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"layout": COMPOSITION_PARAMS['Layouts'][params['layout']],
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"ambiance": COMPOSITION_PARAMS['Ambiances'][params['ambiance']],
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"palette": COMPOSITION_PARAMS['Palette'][params['palette']]
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}
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base_prompt = f"{params['subject']}"
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if params.get('title'):
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base_prompt += f", with text '{params['title']}'"
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@@ -169,7 +173,9 @@ COMPOSITION_PARAMS = {
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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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response = requests.post(
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self.API_URL,
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@@ -204,6 +210,7 @@ def create_interface():
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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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@@ -251,7 +258,9 @@ def create_interface():
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choices=list(COMPOSITION_PARAMS["Palette"].keys()),
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value="Contrasté",
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label="Palette"
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)
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gr.Markdown("### 📝 Contenu")
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subject = gr.Textbox(
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label="Description",
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@@ -308,7 +317,8 @@ def create_interface():
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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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logger.info("Démarrage d'une nouvelle génération")
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params = {
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"format_size": args[0],
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@@ -360,5 +370,4 @@ def create_interface():
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if __name__ == "__main__":
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app = create_interface()
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logger.info("Démarrage de l'application")
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app.launch()
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"Terre": "earthy color palette, natural tones",
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"Néon": "neon color palette, vibrant glowing colors"
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}
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}
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class ImageGenerator:
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def __init__(self):
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self.API_URL = "https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-xl-base-1.0"
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token = os.getenv('HUGGINGFACE_TOKEN')
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"layout": COMPOSITION_PARAMS['Layouts'][params['layout']],
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"ambiance": COMPOSITION_PARAMS['Ambiances'][params['ambiance']],
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"palette": COMPOSITION_PARAMS['Palette'][params['palette']]
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}
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# Préparation du prompt initial
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base_prompt = f"{params['subject']}"
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if params.get('title'):
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base_prompt += f", with text '{params['title']}'"
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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, indent=2)}")
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response = requests.post(
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self.API_URL,
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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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choices=list(COMPOSITION_PARAMS["Palette"].keys()),
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value="Contrasté",
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label="Palette"
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)
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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(
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label="Description",
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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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if __name__ == "__main__":
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app = create_interface()
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logger.info("Démarrage de l'application")
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app.launch()
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