Update app.py

app.py

@@ -1,4 +1,4 @@
-# app.py (النسخة النهائية والمصححة)
+# app.py (English LTR Version)
 
 import gradio as gr
 import numpy as np
@@ -7,11 +7,11 @@ import torch
 from diffusers import DiffusionPipeline
 import time
 
-# --- 1. الإعدادات والثوابت ---
+# --- 1. Settings and Constants ---
 DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
 DTYPE = torch.float16 if torch.cuda.is_available() else torch.float32
 
-MODEL_ID = "YourUsername/Takween-v1"  # هام: استبدل هذا باسم نموذجك على Hugging Face
+MODEL_ID = "YourUsername/Takween-v1"  # IMPORTANT: Replace with your model's name on Hugging Face
 BASE_MODEL_ID = "runwayml/stable-diffusion-v1-5"
 MAX_SEED = np.iinfo(np.int32).max
 
@@ -23,19 +23,17 @@ LOGO_SVG = """
 </svg>
 """
 
-# --- 2. تحميل النموذج ---
-# تم التحقق من صحة هذا الجزء لتجنب أي أخطاء نحوية
+# --- 2. Model Loading ---
 try:
     pipe = DiffusionPipeline.from_pretrained(MODEL_ID, torch_dtype=DTYPE, safety_checker=None)
     print(f"✅ Trained model '{MODEL_ID}' loaded successfully.")
 except Exception:
     print(f"❌ Could not load trained model '{MODEL_ID}'. Loading base model.")
-    # هذا هو السطر الذي تم التحقق من صحته
     pipe = DiffusionPipeline.from_pretrained(BASE_MODEL_ID, torch_dtype=DTYPE, safety_checker=None)
 
 pipe = pipe.to(DEVICE)
 
-# --- 3. تصميم الثيم الاحترافي ---
+# --- 3. Professional Theme ---
 theme = gr.themes.Base(
     primary_hue=gr.themes.colors.purple,
     secondary_hue=gr.themes.colors.neutral,
@@ -49,7 +47,7 @@ theme = gr.themes.Base(
     button_primary_background_fill_hover="*primary_600",
 )
 
-# --- 4. دالة التوليد مع تحديثات الواجهة ---
+# --- 4. Inference Function with UI Updates ---
 def infer(prompt, negative_prompt, guidance_scale, num_inference_steps, seed, randomize_seed):
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
@@ -58,7 +56,7 @@ def infer(prompt, negative_prompt, guidance_scale, num_inference_steps, seed, ra
     
     yield {
         output_image: gr.update(value=None, interactive=False, visible=True),
-        run_button: gr.update(interactive=False, value="...جاري التكوين"),
+        run_button: gr.update(interactive=False, value="Generating..."),
     }
     
     image = pipe(
@@ -72,47 +70,76 @@ def infer(prompt, negative_prompt, guidance_scale, num_inference_steps, seed, ra
     yield {
         output_image: gr.update(value=image, interactive=True),
         output_seed: gr.update(value=seed),
-        run_button: gr.update(interactive=True, value="كوّن مرة أخرى"),
+        run_button: gr.update(interactive=True, value="Generate Again"),
     }
 
-# --- 5. بناء الواجهة الاحترافية ---
+# --- 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>مشروع تكوين</h1></div>")
-    gr.Markdown("#### نموذج متخصص في تحويل الأوصاف النصية إلى صور هندسية دقيقة.")
+        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="الوصف (Prompt)", placeholder=" دائرة حمراء بحدود سوداء سميكة...", lines=3)
-            negative_prompt = gr.Textbox(label="الوصف السلبي (Negative Prompt)", placeholder=" جودة منخفضة، ضبابية، تشوه...")
-            with gr.Accordion("الإعدادات المتقدمة", open=False):
-                guidance_scale = gr.Slider(label="مقياس التوجيه", minimum=1.0, maximum=20.0, value=7.5, step=0.1)
-                num_inference_steps = gr.Slider(label="عدد الخطوات", minimum=10, maximum=100, value=30, step=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="البذرة (Seed)", value=0, precision=0)
-                    randomize_seed = gr.Checkbox(label="عشوائي", value=True)
-            run_button = gr.Button("كوّن الصورة", 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])
+                    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
         with gr.Column(scale=2):
-            output_image = gr.Image(label="الصورة المولّدة", interactive=False, height=512)
-            output_seed = gr.Textbox(label="البذرة المستخدمة (Seed)", interactive=False)
+            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("فريق العمل والشكر والتقدير", open=False):
+    with gr.Accordion("Team and Acknowledgments", open=False):
         gr.Markdown("""
-        <div style='text-align: right; direction: rtl;'>
-            <h4><b>فريق العمل:</b> أسامة سعيد و طارق العمري</h4>
-            <h4><b>شكر وتقدير خاص:</b></h4>
-            <p>نتقدم بجزيل الشكر للدكتور القدير/ <b>أكرم الصباري</b> (أستاذ الذكاء الاصطناعي وتعلم الآلة) والمهندسة/ <b>فاتن الحيافي</b> (أستاذة الجانب العملي) على إرشادهما ودعمهما المستمر.</p>
+        <div style='text-align: left;'>
+            <h4><b>Development Team:</b></h4>
+            <ul>
+                <li>Osama Saeed</li>
+                <li>Tariq Al-Amri</li>
+            </ul>
+            <hr>
+            <h4><b>Special Thanks:</b></h4>
+            <p>We extend our sincere gratitude for the guidance and support of:</p>
+            <ul>
+                <li><b>Dr. Akram Al-Sabari</b> (Professor of AI and Machine Learning)</li>
+                <li><b>Eng. Faten Al-Hayafi</b> (Practical Side Instructor)</li>
+            </ul>
         </div>
         """)
-    gr.Markdown("<p id='footer'>© 2025 مشروع تكوين. جميع الحقوق محفوظة.</p>")
-    
+    gr.Markdown("<p id='footer'>© 2025 Takween Project. Developed by Osama Saeed & Tariq Al-Amri. All rights reserved.</p>")
+
+    # Event Listeners
     run_button.click(
         fn=infer,
         inputs=[prompt, negative_prompt, guidance_scale, num_inference_steps, seed, randomize_seed],
         outputs=[output_image, output_seed, run_button],
     )
 
-# --- 6. تشغيل التطبيق ---
+# --- 6. Launch the App ---
 if __name__ == "__main__":
     demo.launch()