Update app.py

app.py

@@ -1,4 +1,4 @@
-# app.py (النسخة النهائية - بالثيم الذهبي)
+# app.py (النسخة النهائية - مع تصحيح SyntaxError الثاني)
 
 import gradio as gr
 import numpy as np
@@ -11,12 +11,10 @@ import time
 DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
 DTYPE = torch.float16 if torch.cuda.is_available() else torch.float32
 
-# IMPORTANT: Replace "YourUsername/Takween-v1" with your model's name on Hugging Face
 MODEL_ID = "YourUsername/Takween-v1" 
 BASE_MODEL_ID = "runwayml/stable-diffusion-v1-5"
 MAX_SEED = np.iinfo(np.int32).max
 
-# Project Logo (Embedded SVG)
 LOGO_SVG = """
 <svg xmlns="http://www.w3.org/2000/svg" width="48" height="48" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
   <path d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2z"></path>
@@ -37,7 +35,7 @@ pipe = pipe.to(DEVICE)
 
 # --- 3. Professional Theme (Golden Version) ---
 theme = gr.themes.Base(
-    primary_hue=gr.themes.colors.amber,  # Golden Theme Primary Color
+    primary_hue=gr.themes.colors.amber,
     secondary_hue=gr.themes.colors.neutral,
     font=[gr.themes.GoogleFont("IBM Plex Sans"), "system-ui", "sans-serif"],
 ).set(
@@ -49,21 +47,24 @@ theme = gr.themes.Base(
     button_primary_background_fill_hover="*primary_600",
 )
 
-# --- 4. Inference Function with UI Updates ---
+# --- 4. Inference Function with UI Updates (Corrected) ---
 def infer(prompt, negative_prompt, guidance_scale, num_inference_steps, seed, randomize_seed):
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
     
-    generator = torch.Generator
-(device=DEVICE).manual_seed(seed)
+    # =======================================================
+    # <<< تم تعديل هذا الجزء لحل مشكلة SyntaxError >>>
+    # الخطوة 1: إنشاء المولد على الجهاز الصحيح
+    generator = torch.Generator(device=DEVICE)
+    # الخطوة 2: تحديد البذرة للمولد
+    generator.manual_seed(seed)
+    # =======================================================
     
-    # Update UI to show loading state
     yield {
         output_image: gr.update(value=None, interactive=False, visible=True),
         run_button: gr.update(interactive=False, value="Generating..."),
     }
     
-    # Generate the image
     image = pipe(
         prompt=prompt,
         negative_prompt=negative_prompt,
@@ -72,7 +73,6 @@ def infer(prompt, negative_prompt, guidance_scale, num_inference_steps, seed, ra
         generator=generator,
     ).images[0]
     
-    # Update UI with the final result
     yield {
         output_image: gr.update(value=image, interactive=True),
         output_seed: gr.update(value=seed),
@@ -81,44 +81,25 @@ def infer(prompt, negative_prompt, guidance_scale, num_inference_steps, seed, ra
 
 # --- 5. Professional UI Layout ---
 with gr.Blocks(theme=theme, css="#footer {text-align: center;}") as demo:
-    # Header
     with gr.Row():
         gr.HTML(f"<div style='display: flex; align-items: center; gap: 12px;'>{LOGO_SVG}<h1>Takween Project</h1></div>")
-
     gr.Markdown("#### A specialized model for generating precise geometric images from text descriptions.")
     gr.HTML("<hr>")
-
-    # Main Layout (2 columns)
     with gr.Row():
-        # Left Column: Controls
         with gr.Column(scale=1):
             prompt = gr.Textbox(label="Prompt", placeholder="A red circle with thick black borders...", lines=3)
             negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="Low quality, blurry, distorted...")
-            
             with gr.Accordion("Advanced Settings", open=False):
                 guidance_scale = gr.Slider(label="Guidance Scale", minimum=1.0, maximum=20.0, value=7.5, step=0.1)
                 num_inference_steps = gr.Slider(label="Number of Steps", minimum=10, maximum=100, value=30, step=1)
                 with gr.Row():
                     seed = gr.Number(label="Seed", value=0, precision=0)
                     randomize_seed = gr.Checkbox(label="Randomize", value=True)
-            
             run_button = gr.Button("Generate Image", variant="primary")
-            
-            gr.Examples(
-                examples=[
-                    "A filled red circle with a thick black border",
-                    "An outline blue triangle positioned to the left of a yellow square",
-                    "A green star overlapping a purple rectangle",
-                ],
-                inputs=[prompt]
-            )
-
-        # Right Column: Results
+            gr.Examples(examples=["A filled red circle with a thick black border", "An outline blue triangle positioned to the left of a yellow square", "A green star overlapping a purple rectangle"], inputs=[prompt])
         with gr.Column(scale=2):
             output_image = gr.Image(label="Generated Image", interactive=False, height=512)
             output_seed = gr.Textbox(label="Seed Used", interactive=False)
-
-    # Footer
     gr.HTML("<hr>")
     with gr.Accordion("Team and Acknowledgments", open=False):
         gr.Markdown("""
@@ -138,8 +119,7 @@ with gr.Blocks(theme=theme, css="#footer {text-align: center;}") as demo:
         </div>
         """)
     gr.Markdown("<p id='footer'>© 2025 Takween Project. Developed by Osama Saeed & Tareq Al-Omari. All rights reserved.</p>")
-
-    # Event Listeners
+    
     run_button.click(
         fn=infer,
         inputs=[prompt, negative_prompt, guidance_scale, num_inference_steps, seed, randomize_seed],