Update app.py

app.py

@@ -1,10 +1,9 @@
 import gradio as gr
 import random
 import time
-from diffusers import StableDiffusionPipeline
-import torch
 from PIL import Image
-import io
+import requests
+from io import BytesIO
 
 # Styles disponibles
 STYLES = {
@@ -38,40 +37,16 @@ PROMPT_SUGGESTIONS = {
     ]
 }
 
-def generate_image(prompt, style, format_size, material):
+def generate_test_image(prompt, style, format_size, material):
     """
-    Génération d'image avec Stable Diffusion
+    Fonction de simulation de génération d'image
     """
-    try:
-        # Construction du prompt enrichi
-        style_prompts = {
-            "signage": "professional signage, eco-friendly cardboard material, minimalist design",
-            "poster": "artistic poster, recycled cardboard texture, creative design",
-            "silhouette": "decorative silhouette, cardboard cutout, elegant design"
-        }
-        
-        # Enrichir le prompt avec le style et le matériau
-        enhanced_prompt = f"{prompt}, {style_prompts[style]}, {material} cardboard material, sustainable design, high quality, detailed"
-        
-        # Prompts négatifs pour améliorer la qualité
-        negative_prompt = "low quality, blurry, bad anatomy, ugly, distorted, pixelated"
-        
-        # Initialiser le pipeline
-        model_id = "runwayml/stable-diffusion-v1-5"
-        pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float32)
-        
-        # Générer l'image
-        image = pipe(
-            prompt=enhanced_prompt,
-            negative_prompt=negative_prompt,
-            num_inference_steps=30,
-            guidance_scale=7.5
-        ).images[0]
-        
-        return image
-        
-    except Exception as e:
-        return f"Erreur lors de la génération : {str(e)}"
+    # Simuler un délai de génération
+    time.sleep(2)
+    
+    # Pour le moment, retourner une image de test
+    test_image = Image.new('RGB', (512, 512), color = 'white')
+    return test_image
 
 def update_suggestions(style):
     """
@@ -86,7 +61,7 @@ def get_example_prompt(style):
     suggestions = PROMPT_SUGGESTIONS.get(style, [])
     return random.choice(suggestions) if suggestions else ""
 
-with gr.Blocks(css="footer {display: none}") as demo:
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
     gr.Markdown(
         """
         # 🎨 Equity Creation Studio
@@ -157,7 +132,7 @@ with gr.Blocks(css="footer {display: none}") as demo:
     )
     
     generate_btn.click(
-        fn=generate_image,
+        fn=generate_test_image,
         inputs=[prompt, style, format_size, material],
         outputs=[output]
     )