Update app.py

app.py

@@ -8,7 +8,10 @@ from PIL import Image
 from typing import Iterable
 from gradio.themes import Soft
 from gradio.themes.utils import colors, fonts, sizes
+from deep_translator import GoogleTranslator
+from transformers import pipeline
 
+# --- تنظیمات تم و رنگ ---
 colors.orange_red = colors.Color(
     name="orange_red",
     c50="#FFF0E5",
@@ -24,67 +27,486 @@ colors.orange_red = colors.Color(
     c950="#802200",
 )
 
-class OrangeRedTheme(Soft):
-    def __init__(
-        self,
-        *,
-        primary_hue: colors.Color | str = colors.gray,
-        secondary_hue: colors.Color | str = colors.orange_red,
-        neutral_hue: colors.Color | str = colors.slate,
-        text_size: sizes.Size | str = sizes.text_lg,
-        font: fonts.Font | str | Iterable[fonts.Font | str] = (
-            fonts.GoogleFont("Outfit"), "Arial", "sans-serif",
-        ),
-        font_mono: fonts.Font | str | Iterable[fonts.Font | str] = (
-            fonts.GoogleFont("IBM Plex Mono"), "ui-monospace", "monospace",
-        ),
-    ):
-        super().__init__(
-            primary_hue=primary_hue,
-            secondary_hue=secondary_hue,
-            neutral_hue=neutral_hue,
-            text_size=text_size,
-            font=font,
-            font_mono=font_mono,
-        )
-        super().set(
-            background_fill_primary="*primary_50",
-            background_fill_primary_dark="*primary_900",
-            body_background_fill="linear-gradient(135deg, *primary_200, *primary_100)",
-            body_background_fill_dark="linear-gradient(135deg, *primary_900, *primary_800)",
-            button_primary_text_color="white",
-            button_primary_text_color_hover="white",
-            button_primary_background_fill="linear-gradient(90deg, *secondary_500, *secondary_600)",
-            button_primary_background_fill_hover="linear-gradient(90deg, *secondary_600, *secondary_700)",
-            button_primary_background_fill_dark="linear-gradient(90deg, *secondary_600, *secondary_700)",
-            button_primary_background_fill_hover_dark="linear-gradient(90deg, *secondary_500, *secondary_600)",
-            button_secondary_text_color="black",
-            button_secondary_text_color_hover="white",
-            button_secondary_background_fill="linear-gradient(90deg, *primary_300, *primary_300)",
-            button_secondary_background_fill_hover="linear-gradient(90deg, *primary_400, *primary_400)",
-            button_secondary_background_fill_dark="linear-gradient(90deg, *primary_500, *primary_600)",
-            button_secondary_background_fill_hover_dark="linear-gradient(90deg, *primary_500, *primary_500)",
-            slider_color="*secondary_500",
-            slider_color_dark="*secondary_600",
-            block_title_text_weight="600",
-            block_border_width="3px",
-            block_shadow="*shadow_drop_lg",
-            button_primary_shadow="*shadow_drop_lg",
-            button_large_padding="11px",
-            color_accent_soft="*primary_100",
-            block_label_background_fill="*primary_200",
-        )
+# --- بارگذاری مدل تشخیص محتوای نامناسب (NSFW) ---
+print("Loading Safety Checker...")
+try:
+    safety_classifier = pipeline("image-classification", model="Falconsai/nsfw_image_detection", device=-1)
+except:
+    safety_classifier = None 
+
+def is_image_nsfw(image):
+    if image is None or safety_classifier is None: return False
+    try:
+        results = safety_classifier(image)
+        for result in results:
+            if result['label'] == 'nsfw' and result['score'] > 0.75:
+                return True
+        return False
+    except Exception as e:
+        print(f"Safety check error: {e}")
+        return False
+
+# --- توابع کمکی متن ---
+BANNED_WORDS = [
+    "nude", "naked", "sex", "porn", "undressed", "nsfw", "erotic", "xxx", 
+    "breast", "nipple", "genital", "vagina", "penis", "ass", "butt", "sexual",
+    "lingerie", "bikini", "swimwear", "underwear", "fetish", "topless",
+    "exhibitionism", "hentai", "ecchi", "18+"
+]
+
+def check_text_safety(text):
+    text_lower = text.lower()
+    for word in BANNED_WORDS:
+        if f" {word} " in f" {text_lower} ": 
+            return False
+    return True
+
+def translate_prompt(text):
+    if not text:
+        return ""
+    try:
+        translated = GoogleTranslator(source='auto', target='en').translate(text)
+        return translated
+    except Exception as e:
+        print(f"Translation Error: {e}")
+        return text
+
+# --- تنظیمات HTML/JS برای مدیریت خطا (نسخه اصلاح شده و قوی) ---
+# این بخش دقیقاً همان لاجیک برنامه قبلی برای حذف خطا و نمایش پنجره راهنماست
+js_global_content = """
+<script>
+document.addEventListener('DOMContentLoaded', () => {
+    // 1. Force Light Mode
+    const forceLight = () => {
+        const body = document.querySelector('body');
+        if (body) {
+            body.classList.remove('dark');
+            body.style.backgroundColor = '#f5f7fa';
+            body.style.color = '#333333';
+        }
+        document.querySelectorAll('.dark').forEach(el => el.classList.remove('dark'));
+    };
+    forceLight();
+    setInterval(forceLight, 1000);
 
-orange_red_theme = OrangeRedTheme()
+    // 2. RETRY FUNCTION
+    window.retryGeneration = function() {
+        const modal = document.getElementById('custom-quota-modal');
+        if (modal) modal.remove();
+
+        const runBtn = document.getElementById('run-btn');
+        if(runBtn) runBtn.click();
+    };
+    
+    // Close function
+    window.closeErrorModal = function() {
+         const modal = document.getElementById('custom-quota-modal');
+         if (modal) modal.remove();
+    };
+
+    // 3. SHOW MODAL FUNCTION
+    const showQuotaModal = () => {
+        if (document.getElementById('custom-quota-modal')) return;
+
+        const modalHtml = `
+            <div id="custom-quota-modal" style="position: fixed; top: 0; left: 0; width: 100%; height: 100%; background: rgba(0,0,0,0.6); backdrop-filter: blur(5px); z-index: 99999; display: flex; align-items: center; justify-content: center; font-family: 'Vazirmatn', sans-serif;">
+                <div class="ip-reset-guide-container" style="direction: rtl; text-align: right; max-width: 450px; width: 90%; background: white; border-radius: 20px; padding: 25px; box-shadow: 0 10px 40px rgba(0,0,0,0.3); animation: slideInUp 0.4s ease;">
+                    <div class="guide-header">
+                        <svg class="guide-header-icon" viewbox="0 0 100 100" xmlns="http://www.w3.org/2000/svg"> 
+                            <defs><lineargradient id="grad1" x1="0%" y1="0%" x2="100%" y2="100%"><stop offset="0%" style="stop-color: #667eea; stop-opacity: 1;"></stop><stop offset="100%" style="stop-color: #764ba2; stop-opacity: 1;"></stop></lineargradient></defs> 
+                            <circle cx="50" cy="50" r="45" fill="url(#grad1)" opacity="0.1"></circle>
+                            <circle cx="50" cy="50" r="35" fill="none" stroke="url(#grad1)" stroke-width="2" opacity="0.3"></circle>
+                            <path d="M35 50 L45 60 L65 40" stroke="url(#grad1)" stroke-width="4" fill="none" stroke-linecap="round" stroke-linejoin="round"></path>
+                            <circle cx="65" cy="35" r="8" fill="#fee140"></circle>
+                            <path d="M62 35 L68 35 M65 32 L65 38" stroke="white" stroke-width="2" stroke-linecap="round"></path> 
+                        </svg>
+                        <div>
+                            <h2>یک قدم تا ساخت تصاویر جدید</h2>
+                            <p>نیازمند تغییر نقطه دستیابی</p>
+                        </div>
+                    </div>
+                    
+                    <div class="guide-content">
+                        <div class="info-card">
+                            <div class="info-card-header">
+                                <svg class="info-card-icon" viewbox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M13 2L3 14h9l-1 8 10-12h-9l1-8z" fill="#667eea" opacity="0.2"></path><path d="M13 2L3 14h9l-1 8 10-12h-9l1-8z" stroke="#667eea" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg> 
+                                <span class="info-card-title">راه حل سریع</span>
+                            </div>
+                            <p>طبق ویدیو آموزشی پایین بین نقطه دستیابی جابجا شوید تلاش مجدد بزنید تا تصاویر مجدداً تولید بشه.</p>
+                        </div>
+                        
+                        <div class="summary-section">
+                            <div class="summary-header">
+                                <svg class="summary-icon" viewbox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><circle cx="12" cy="12" r="10" fill="#56ab2f" opacity="0.2"></circle><path d="M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2z" stroke="#56ab2f" stroke-width="2"></path><path d="M9 12l2 2 4-4" stroke="#56ab2f" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg> 
+                                <span class="summary-title">خلاصه راهنما</span>
+                            </div>
+                            <div class="summary-text">هربار که این صفحه را مشاهده کردید: از اینترنت سیم‌کارت استفاده کنید، VPN را خاموش کرده و طبق ویدیو آموزشی پایین نقطه دستیابی رو تغییر دهید. «تلاش مجدد» کلیک کنید. با این روش ساده می‌توانید به صورت نامحدود تصویر بسازید! ☘️</div>
+                        </div>
+                        
+                        <div class="video-button-container">
+                            <button onclick="parent.postMessage({ type: 'NAVIGATE_TO_URL', url: '#/nav/online/news/getSingle/1149635/eyJpdiI6IjhHVGhPQWJwb3E0cjRXbnFWTW5BaUE9PSIsInZhbHVlIjoiS1V0dTdvT21wbXAwSXZaK1RCTG1pVXZqdlFJa1hXV1RKa2FLem9zU3pXMjd5MmlVOGc2YWY0NVdNR3h3Smp1aSIsIm1hYyI6IjY1NTA5ZDYzMjAzMTJhMGQyMWQ4NjA4ZDgyNGZjZDVlY2MyNjdiMjA2NWYzOWRjY2M4ZmVjYWRlMWNlMWQ3ODEiLCJ0YWciOiIifQ==/21135210' }, '*')" class="elegant-video-button"> 
+                                <svg class="elegant-video-button-icon" xmlns="http://www.w3.org/2000/svg" viewbox="0 0 24 24"><path d="M8 5v14l11-7z"></path></svg> 
+                                <span>دیدن ویدیو آموزشی استفاده نامحدود</span> 
+                            </button>
+                        </div>
+                    </div>
+                    
+                    <div class="guide-actions">
+                        <button class="action-button back-button" onclick="window.closeErrorModal()"> 
+                            <svg class="action-button-icon" viewbox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M19 12H5M12 19l-7-7 7-7" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg> 
+                            <span>بازگشت</span> 
+                        </button>
+                        <button class="action-button retry-button" onclick="window.retryGeneration()"> 
+                            <svg class="action-button-icon" viewbox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><path d="M23 4v6h-6M1 20v-6h6" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path><path d="M20.49 9A9 9 0 0 0 5.64 5.64L1 10m22 4l-4.64 4.36A9 9 0 0 1 3.51 15" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"></path></svg> 
+                            <span>تلاش مجدد</span> 
+                        </button>
+                    </div>
+                </div>
+            </div>
+        `;
+        
+        document.body.insertAdjacentHTML('beforeend', modalHtml);
+    };
+
+    // 4. SCANNER
+    setInterval(() => {
+        const potentialErrors = document.querySelectorAll('.toast-body, .error, .toast-wrap, .eta-bar, div[class*="error"]');
+        
+        potentialErrors.forEach(el => {
+            const text = el.innerText || "";
+            if (text.toLowerCase().includes('quota') || text.toLowerCase().includes('exceeded')) {
+                 
+                 showQuotaModal();
+                 
+                 // Immediately hide the Gradio error
+                 el.style.display = 'none';
+                 el.style.opacity = '0';
+                 el.innerText = '';
+                 
+                 const parentWrap = el.closest('.toast-wrap');
+                 if(parentWrap) parentWrap.style.display = 'none';
+            }
+        });
+    }, 100);
+});
+</script>
+"""
+
+# --- CSS Updated ---
+css_code = """
+<style>
+@import url('https://fonts.googleapis.com/css2?family=Vazirmatn:wght@300;400;500;700&display=swap');
+
+:root, .dark, body, .gradio-container {
+    --body-background-fill: #f5f7fa !important;
+    --body-text-color: #1f2937 !important;
+    --background-fill-primary: #ffffff !important;
+    --background-fill-secondary: #f3f4f6 !important;
+    --border-color-primary: #e5e7eb !important;
+    --block-background-fill: #ffffff !important;
+    --block-label-text-color: #374151 !important;
+    --block-title-text-color: #111827 !important;
+    --input-background-fill: #ffffff !important;
+    color-scheme: light !important;
+}
+
+/* --- IP Reset Guide CSS --- */
+:root {
+    --guide-bg: rgba(255, 255, 255, 0.98);
+    --guide-border: rgba(102, 126, 234, 0.2);
+    --guide-text-title: #2d3748;
+    --guide-text-body: #4a5568;
+    --guide-accent: #667eea;
+    --primary-gradient-guide: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+    --success-gradient-guide: linear-gradient(135deg, #56ab2f 0%, #a8e063 100%);
+    --radius-md-guide: 12px;
+    --radius-lg-guide: 20px;
+    --shadow-sm: 0 1px 2px 0 rgba(26, 32, 44, 0.03);
+    --shadow-md: 0 4px 6px -1px rgba(26, 32, 44, 0.05), 0 2px 4px -2px rgba(26, 32, 44, 0.04);
+    --shadow-xl: 0 20px 25px -5px rgba(26, 32, 44, 0.07), 0 8px 10px -6px rgba(26, 32, 44, 0.05);
+}
+
+@keyframes float {
+    0%, 100% { transform: translateY(0px); }
+    50% { transform: translateY(-10px); }
+}
+@keyframes slideInUp {
+    from { opacity: 0; transform: translateY(30px); }
+    to { opacity: 1; transform: translateY(0); }
+}
+
+.guide-header { display: flex; align-items: center; margin-bottom: 20px; }
+.guide-header-icon { width: 50px; height: 50px; margin-left: 15px; animation: float 3s ease-in-out infinite; flex-shrink: 0; }
+.guide-header h2 { font-size: 1.3rem; color: var(--guide-text-title); font-weight: 700; margin: 0; }
+.guide-header p { color: var(--guide-text-body); font-size: 0.8rem; margin-top: 5px; margin-bottom: 0; }
+
+.guide-content { font-size: 0.9rem; color: var(--guide-text-body); line-height: 1.6; }
+
+.info-card { background: linear-gradient(135deg, #667eea15 0%, #764ba215 100%); border: 1px solid rgba(102, 126, 234, 0.2); border-radius: var(--radius-md-guide); padding: 15px; margin: 15px 0; position: relative; overflow: hidden; }
+.info-card p { font-size: 0.85rem; line-height: 1.6; margin: 0; }
+.info-card::before { content: ''; position: absolute; top: 0; right: 0; width: 4px; height: 100%; background: var(--primary-gradient-guide); }
+.info-card-header { display: flex; align-items: center; margin-bottom: 10px; }
+.info-card-icon { width: 20px; height: 20px; margin-left: 10px; }
+.info-card-title { font-weight: 600; color: var(--guide-text-title); font-size: 0.95rem; }
+
+.summary-section { margin-top: 15px; padding: 15px; border-radius: var(--radius-md-guide); background: linear-gradient(135deg, #56ab2f15 0%, #a8e06315 100%); border: 1px solid rgba(86, 171, 47, 0.2); position: relative; overflow: hidden; }
+.summary-section::before { content: ''; position: absolute; top: 0; right: 0; width: 4px; height: 100%; background: var(--success-gradient-guide); }
+.summary-header { display: flex; align-items: center; margin-bottom: 8px; }
+.summary-icon { width: 20px; height: 20px; margin-left: 10px; }
+.summary-title { font-weight: 600; color: #2f5a33; font-size: 0.95rem; }
+.summary-text { color: #2f5a33; font-size: 0.85rem; line-height: 1.6; }
+
+/* Tutorial Button */
+.video-button-container { text-align: center; margin: 25px 0 15px 0; width: 100%; }
+.elegant-video-button { 
+    display: inline-flex !important; 
+    align-items: center; 
+    justify-content: center; 
+    padding: 10px 24px !important; 
+    background-color: #fff !important; 
+    color: var(--guide-accent) !important; 
+    border: 1px solid #e2e8f0 !important; 
+    text-decoration: none; 
+    border-radius: 50px !important; 
+    font-weight: 600 !important; 
+    font-size: 0.9rem !important; 
+    cursor: pointer !important; 
+    font-family: inherit; 
+    transition: all 0.3s ease !important; 
+    box-shadow: 0 2px 10px rgba(0,0,0,0.05) !important; 
+    width: auto !important;
+}
+.elegant-video-button:hover { 
+    background: var(--primary-gradient-guide) !important; 
+    color: white !important; 
+    border-color: transparent !important; 
+    transform: translateY(-2px); 
+    box-shadow: 0 6px 16px rgba(102, 126, 234, 0.3) !important; 
+}
+.elegant-video-button-icon { width: 18px; height: 18px; margin-left: 8px; fill: currentColor; }
+
+/* Action Buttons */
+.guide-actions { 
+    display: flex !important; 
+    gap: 12px !important; 
+    margin-top: 20px; 
+    padding-top: 20px; 
+    border-top: 1px solid #e2e8f0; 
+    width: 100% !important;
+}
+.action-button { 
+    padding: 12px 15px !important; 
+    border: none !important; 
+    border-radius: 12px !important; 
+    font-size: 0.95rem !important; 
+    font-weight: 600 !important; 
+    cursor: pointer !important; 
+    flex: 1 !important; 
+    transition: all 0.3s ease !important; 
+    display: flex !important; 
+    align-items: center; 
+    justify-content: center; 
+    font-family: inherit; 
+    height: 48px !important;
+}
+.action-button-icon { width: 20px; height: 20px; margin-right: 0; margin-left: 8px; }
+
+.back-button { 
+    background: white !important; 
+    color: var(--guide-text-body) !important; 
+    border: 2px solid #e2e8f0 !important; 
+}
+.back-button:hover { 
+    background: #f7fafc !important; 
+    border-color: var(--guide-accent) !important; 
+    transform: translateY(-2px); 
+    box-shadow: var(--shadow-md) !important; 
+}
+
+.retry-button { 
+    background: var(--primary-gradient-guide) !important; 
+    color: white !important; 
+    box-shadow: 0 4px 15px rgba(102, 126, 234, 0.3) !important; 
+}
+.retry-button:hover { 
+    transform: translateY(-2px); 
+    box-shadow: 0 6px 20px rgba(102, 126, 234, 0.4) !important; 
+}
+
+/* --- Main App CSS --- */
+body {
+    font-family: 'Vazirmatn', sans-serif !important;
+    background-color: #f5f7fa !important;
+    margin: 0;
+    padding: 10px;
+}
+
+#col-container {
+    margin: 0 auto;
+    max-width: 980px;
+    direction: rtl;
+    text-align: right;
+    padding: 30px;
+    background: #ffffff !important;
+    border-radius: 24px;
+    box-shadow: 0 10px 40px -10px rgba(0,0,0,0.08); 
+    border: 1px solid rgba(255,255,255,0.8);
+}
+
+#main-title h1 {
+    font-size: 2.4em !important;
+    text-align: center;
+    color: #1a202c !important;
+    margin-bottom: 15px;
+    font-weight: 800;
+    background: -webkit-linear-gradient(45deg, #2563eb, #1e40af);
+    -webkit-background-clip: text;
+    -webkit-text-fill-color: transparent;
+}
+
+#main-description {
+    text-align: center;
+    font-size: 1.15em;
+    color: #4b5563 !important;
+    margin-bottom: 40px;
+    line-height: 1.6;
+}
+
+.gr-input-label, span.label-wrap, label span {
+    font-weight: 700 !important;
+    color: #374151 !important;
+    font-size: 0.95em !important;
+    margin-bottom: 8px !important;
+}
+
+textarea, input[type="text"] {
+    border: 2px solid #e2e8f0 !important;
+    border-radius: 12px !important;
+    background-color: #ffffff !important;
+    color: #111827 !important;
+    padding: 12px !important;
+    transition: all 0.3s ease;
+    font-family: 'Vazirmatn', sans-serif !important;
+}
+
+textarea:focus, input[type="text"]:focus {
+    border-color: #3b82f6 !important;
+    box-shadow: 0 0 0 4px rgba(59, 130, 246, 0.1) !important;
+    outline: none;
+}
+
+.gr-dropdown {
+    background: #ffffff !important;
+    border-radius: 12px !important;
+}
+
+.primary-btn, button.primary {
+    background: linear-gradient(135deg, #10b981 0%, #059669 100%) !important;
+    border: none !important;
+    color: white !important;
+    font-weight: 700 !important;
+    font-size: 1.1em !important;
+    padding: 14px 28px !important;
+    border-radius: 14px !important;
+    box-shadow: 0 4px 15px rgba(16, 185, 129, 0.3) !important;
+    transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1) !important;
+    cursor: pointer !important;
+    width: 100%;
+    margin-top: 15px;
+}
+
+.primary-btn:hover, button.primary:hover {
+    transform: translateY(-2px);
+    box-shadow: 0 8px 25px rgba(16, 185, 129, 0.45) !important;
+}
+
+.primary-btn:active, button.primary:active {
+    transform: translateY(1px);
+}
+
+#download-btn {
+    background: linear-gradient(135deg, #3b82f6 0%, #2563eb 100%) !important;
+    box-shadow: 0 4px 15px rgba(59, 130, 246, 0.3) !important;
+}
+#download-btn:hover {
+    box-shadow: 0 8px 25px rgba(59, 130, 246, 0.45) !important;
+}
+
+.gradio-container .prose table, 
+.gradio-container table {
+    background-color: #ffffff !important;
+    color: #111827 !important;
+    border: 1px solid #e5e7eb !important;
+    border-radius: 12px !important;
+    overflow: hidden !important;
+    width: 100% !important;
+    margin-top: 20px !important;
+}
+
+.gradio-container thead th {
+    background-color: #f3f4f6 !important;
+    color: #374151 !important;
+    font-weight: 700 !important;
+    border-bottom: 2px solid #e5e7eb !important;
+    padding: 12px !important;
+    text-align: right !important;
+}
+
+.gradio-container tbody tr {
+    background-color: #ffffff !important;
+    border-bottom: 1px solid #f3f4f6 !important;
+}
+
+.gradio-container tbody tr:hover {
+    background-color: #f9fafb !important;
+}
+
+.gradio-container tbody td {
+    background-color: #ffffff !important;
+    color: #374151 !important;
+    padding: 10px !important;
+}
+
+.gradio-container tbody td span, 
+.gradio-container tbody td p {
+    color: #374151 !important;
+}
+
+footer { display: none !important; }
+.flagging { display: none !important; }
+
+/* Force toast transparency */
+.toast-body {
+    direction: rtl !important;
+    text-align: right !important;
+    background: transparent !important;
+    box-shadow: none !important;
+    border: none !important;
+    padding: 0 !important;
+    max-width: 100% !important;
+    width: auto !important;
+}
+.toast-wrap {
+    background: transparent !important;
+    border: none !important;
+    box-shadow: none !important;
+}
+
+@media (prefers-color-scheme: dark) {
+    body, .gradio-container, .prose, table, tr, td, th {
+        background-color: #ffffff !important;
+        color: #333333 !important;
+    }
+}
+</style>
+"""
+
+# ادغام CSS و JS
+combined_html = css_code + js_global_content
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 dtype = torch.bfloat16
 
-from diffusers import FlowMatchEulerDiscreteScheduler
-from qwenimage.pipeline_qwenimage_edit_plus import QwenImageEditPlusPipeline
-from qwenimage.transformer_qwenimage import QwenImageTransformer2DModel
-from qwenimage.qwen_fa3_processor import QwenDoubleStreamAttnProcessorFA3
-
 print("Loading Qwen Image Edit Pipeline...")
 pipe = QwenImageEditPlusPipeline.from_pretrained(
     "Qwen/Qwen-Image-Edit-2509",
@@ -98,36 +520,16 @@ pipe = QwenImageEditPlusPipeline.from_pretrained(
 ).to(device)
 
 print("Loading and Fusing Lightning LoRA...")
-pipe.load_lora_weights("lightx2v/Qwen-Image-Lightning",
-                       weight_name="Qwen-Image-Lightning-4steps-V2.0-bf16.safetensors",
-                       adapter_name="lightning")
+pipe.load_lora_weights("lightx2v/Qwen-Image-Lightning", weight_name="Qwen-Image-Lightning-4steps-V2.0-bf16.safetensors", adapter_name="lightning")
 pipe.fuse_lora(adapter_names=["lightning"], lora_scale=1.0)
 
 print("Loading Task Adapters...")
-
-pipe.load_lora_weights("tarn59/apply_texture_qwen_image_edit_2509", 
-                       weight_name="apply_texture_v2_qwen_image_edit_2509.safetensors", 
-                       adapter_name="texture")
-
-pipe.load_lora_weights("ostris/qwen_image_edit_inpainting", 
-                       weight_name="qwen_image_edit_inpainting.safetensors", 
-                       adapter_name="fusion")
-
-pipe.load_lora_weights("ostris/qwen_image_edit_2509_shirt_design", 
-                       weight_name="qwen_image_edit_2509_shirt_design.safetensors", 
-                       adapter_name="shirt_design")
-
-pipe.load_lora_weights("dx8152/Qwen-Image-Edit-2509-Fusion", 
-                       weight_name="溶图.safetensors", 
-                       adapter_name="fusion-x")
-
-pipe.load_lora_weights("oumoumad/Qwen-Edit-2509-Material-transfer", 
-                       weight_name="material-transfer_000004769.safetensors", 
-                       adapter_name="material-transfer")
-
-pipe.load_lora_weights("dx8152/Qwen-Edit-2509-Light-Migration", 
-                       weight_name="参考色调.safetensors", 
-                       adapter_name="light-migration")
+pipe.load_lora_weights("tarn59/apply_texture_qwen_image_edit_2509", weight_name="apply_texture_v2_qwen_image_edit_2509.safetensors", adapter_name="texture")
+pipe.load_lora_weights("ostris/qwen_image_edit_inpainting", weight_name="qwen_image_edit_inpainting.safetensors", adapter_name="fusion")
+pipe.load_lora_weights("ostris/qwen_image_edit_2509_shirt_design", weight_name="qwen_image_edit_2509_shirt_design.safetensors", adapter_name="shirt_design")
+pipe.load_lora_weights("dx8152/Qwen-Image-Edit-2509-Fusion", weight_name="溶图.safetensors", adapter_name="fusion-x")
+pipe.load_lora_weights("oumoumad/Qwen-Edit-2509-Material-transfer", weight_name="material-transfer_000004769.safetensors", adapter_name="material-transfer")
+pipe.load_lora_weights("dx8152/Qwen-Edit-2509-Light-Migration", weight_name="参考色调.safetensors", adapter_name="light-migration")
 
 try:
     pipe.transformer.set_attn_processor(QwenDoubleStreamAttnProcessorFA3())
@@ -137,12 +539,18 @@ except Exception as e:
 
 MAX_SEED = np.iinfo(np.int32).max
 
+LORA_MAPPING_PERSIAN = {
+    "ویرایش بافت (Texture)": "Texture Edit",
+    "طراحی لباس (Shirt Design)": "Cloth-Design-Fuse",
+    "ترکیب اشیاء (Fusion)": "Fuse-Objects",
+    "ترکیب پیشرفته (Super Fusion)": "Super-Fusion",
+    "انتقال نور (Light Migration)": "Light-Migration",
+    "انتقال متریال (Material Transfer)": "Material-Transfer"
+}
+
 def update_dimensions_on_upload(image):
-    if image is None:
-        return 1024, 1024
-    
+    if image is None: return 1024, 1024
     original_width, original_height = image.size
-    
     if original_width > original_height:
         new_width = 1024
         aspect_ratio = original_height / original_width
@@ -151,19 +559,32 @@ def update_dimensions_on_upload(image):
         new_height = 1024
         aspect_ratio = original_width / original_height
         new_width = int(new_height * aspect_ratio)
-        
-    # Ensure dimensions are multiples of 16
     new_width = (new_width // 16) * 16
     new_height = (new_height // 16) * 16
-    
     return new_width, new_height
 
+def get_error_html(message):
+    return f"""
+    <div style="background-color: #fee2e2; border: 1px solid #ef4444; color: #b91c1c; padding: 12px; border-radius: 8px; text-align: center; margin-bottom: 10px; font-weight: bold; display: flex; align-items: center; justify-content: center; gap: 8px; direction: rtl;">
+        <span style="font-size: 1.2em;">⛔</span>
+        {message}
+    </div>
+    """
+
+def get_success_html(message):
+    return f"""
+    <div style="background-color: #dcfce7; border: 1px solid #22c55e; color: #15803d; padding: 12px; border-radius: 8px; text-align: center; margin-bottom: 10px; font-weight: bold; display: flex; align-items: center; justify-content: center; gap: 8px; direction: rtl;">
+        <span style="font-size: 1.2em;">✅</span>
+        {message}
+    </div>
+    """
+
 @spaces.GPU(duration=30)
 def infer(
     image_1,
     image_2,
     prompt,
-    lora_adapter,
+    lora_adapter_persian,
     seed,
     randomize_seed,
     guidance_scale,
@@ -171,22 +592,26 @@ def infer(
     progress=gr.Progress(track_tqdm=True)
 ):
     if image_1 is None or image_2 is None:
-        raise gr.Error("Please upload both images for Fusion/Texture/FaceSwap tasks.")
+        return None, seed, get_error_html("لطفاً هر دو تصویر (تصویر پایه و تصویر مرجع) را بارگذاری کنید.")
+
+    if is_image_nsfw(image_1) or is_image_nsfw(image_2):
+        return None, seed, get_error_html("تصویر ورودی دارای محتوای نامناسب است و پردازش نمی‌شود.")
+
+    lora_adapter = LORA_MAPPING_PERSIAN.get(lora_adapter_persian, "Texture Edit")
     
-    if not prompt:
-        if lora_adapter == "Cloth-Design-Fuse":
-            prompt = "Put this design on their shirt."
-        elif lora_adapter == "Texture Edit":
-            prompt = "Apply texture to object."
-        elif lora_adapter == "Fuse-Objects":
-            prompt = "Fuse object into background."
-        elif lora_adapter == "Super-Fusion":
-            prompt = "Blend the product into the background, correct its perspective and lighting, and make it naturally integrated with the scene."
-        elif lora_adapter == "Material-Transfer":
-            prompt = "change materials of image1 to match the reference in image2"
-        elif lora_adapter == "Light-Migration":
-            prompt = "Refer to the color tone, remove the original lighting from Image 1, and relight Image 1 based on the lighting and color tone of Image 2."
-            
+    english_prompt = translate_prompt(prompt)
+    if not english_prompt:
+        # Default prompts based on internal logic
+        if lora_adapter == "Cloth-Design-Fuse": english_prompt = "Put this design on their shirt."
+        elif lora_adapter == "Texture Edit": english_prompt = "Apply texture to object."
+        elif lora_adapter == "Fuse-Objects": english_prompt = "Fuse object into background."
+        elif lora_adapter == "Super-Fusion": english_prompt = "Blend the product into the background, correct its perspective and lighting, and make it naturally integrated with the scene."
+        elif lora_adapter == "Material-Transfer": english_prompt = "change materials of image1 to match the reference in image2"
+        elif lora_adapter == "Light-Migration": english_prompt = "Refer to the color tone, remove the original lighting from Image 1, and relight Image 1 based on the lighting and color tone of Image 2."
+
+    if not check_text_safety(english_prompt):
+        return None, seed, get_error_html("متن درخواست شامل کلمات غیرمجاز است.")
+
     adapters_map = {
         "Texture Edit": "texture",
         "Fuse-Objects": "fusion",
@@ -197,7 +622,6 @@ def infer(
     }
     
     active_adapter = adapters_map.get(lora_adapter)
-    
     if active_adapter:
         pipe.set_adapters([active_adapter], adapter_weights=[1.0])
     else:
@@ -207,110 +631,135 @@ def infer(
         seed = random.randint(0, MAX_SEED)
 
     generator = torch.Generator(device=device).manual_seed(seed)
-    negative_prompt = "worst quality, low quality, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, jpeg artifacts, signature, watermark, username, blurry"
+    negative_prompt = "worst quality, low quality, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, jpeg artifacts, signature, watermark, username, blurry, nsfw, nude"
 
     img1_pil = image_1.convert("RGB")
     img2_pil = image_2.convert("RGB")
     
     width, height = update_dimensions_on_upload(img1_pil)
 
-    result = pipe(
-        image=[img1_pil, img2_pil],
-        prompt=prompt,
-        negative_prompt=negative_prompt,
-        height=height,
-        width=width,
-        num_inference_steps=steps,
-        generator=generator,
-        true_cfg_scale=guidance_scale,
-    ).images[0]
+    try:
+        result = pipe(
+            image=[img1_pil, img2_pil],
+            prompt=english_prompt,
+            negative_prompt=negative_prompt,
+            height=height,
+            width=width,
+            num_inference_steps=steps,
+            generator=generator,
+            true_cfg_scale=guidance_scale,
+        ).images[0]
+
+        if is_image_nsfw(result):
+            return None, seed, get_error_html("تصویر خروجی حاوی محتوای نامناسب بود و حذف شد.")
+
+        return result, seed, get_success_html("تصویر با موفقیت ترکیب و ویرایش شد.")
 
-    return result, seed
+    except Exception as e:
+        error_str = str(e)
+        if "quota" in error_str.lower() or "exceeded" in error_str.lower():
+             raise e 
+        return None, seed, get_error_html(f"خطا در پردازش: {error_str}")
 
 @spaces.GPU(duration=30)
-def infer_example(image_1, image_2, prompt, lora_adapter):
-    if image_1 is None or image_2 is None:
-        return None, 0
-    result, seed = infer(
-        image_1.convert("RGB"), 
-        image_2.convert("RGB"), 
-        prompt, 
-        lora_adapter, 
-        0,
-        True,
-        1.0,
-        4
-    )
-    return result, seed
+def infer_example(image_1, image_2, prompt, lora_adapter_persian):
+    res, s, status = infer(image_1, image_2, prompt, lora_adapter_persian, 0, True, 1.0, 4)
+    return res, s, status
 
-css="""
-#col-container {
-    margin: 0 auto;
-    max-width: 1100px;
+# --- رابط کاربری ---
+js_download_func = """
+async (image) => {
+    if (!image) {
+        alert("لطفاً ابتدا تصویر را تولید کنید.");
+        return;
+    }
+    let fileUrl = image.url;
+    if (fileUrl && !fileUrl.startsWith('http')) {
+       fileUrl = window.location.origin + fileUrl;
+    } else if (!fileUrl && image.path) {
+       fileUrl = window.location.origin + "/file=" + image.path;
+    }
+    window.parent.postMessage({
+        type: 'DOWNLOAD_REQUEST',
+        url: fileUrl
+    }, '*');
 }
-#main-title h1 {font-size: 2.1em !important;}
 """
 
 with gr.Blocks() as demo:
+    gr.HTML(combined_html)
     with gr.Column(elem_id="col-container"):
-        gr.Markdown("# **Qwen-Image-Edit-2509-LoRAs-Fast-Fusion**", elem_id="main-title")
-        gr.Markdown("Perform diverse image edits using specialized [LoRA](https://huggingface.co/models?other=base_model:adapter:Qwen/Qwen-Image-Edit-2509) adapters for the [Qwen-Image-Edit](https://huggingface.co/Qwen/Qwen-Image-Edit-2509) model.")
+        gr.Markdown("# **ویرایشگر هوشمند آلفا (ترکیبی)**", elem_id="main-title")
+        gr.Markdown("با هوش مصنوعی آلفا تصاویر خود را با متد‌های مختلف (بافت، ترکیب، نورپردازی) ویرایش کنید.", elem_id="main-description")
+        
         with gr.Row(equal_height=True):
-          
             with gr.Column(scale=1):
                 with gr.Row():
-                    image_1 = gr.Image(label="Base Image", type="pil", height=290)
-                    image_2 = gr.Image(label="Reference Image", type="pil", height=290)
+                    image_1 = gr.Image(label="۱. تصویر پایه (اصلی)", type="pil", height=290)
+                    image_2 = gr.Image(label="۲. تصویر مرجع (استایل/بافت)", type="pil", height=290)
 
                 prompt = gr.Text(
-                    label="Edit Prompt",
+                    label="دستور ویرایش (به فارسی)",
                     show_label=True,
-                    placeholder="e.g., Apply wood texture to the mug...",
+                    placeholder="مثال: بافت چوب را روی لیوان اعمال کن...",
+                    rtl=True,
+                    lines=3
                 )
                 
-                run_button = gr.Button("Edit Image", variant="primary")
+                status_box = gr.HTML(label="وضعیت")
+                
+                # IMPORTANT: elem_id="run-btn" for JS
+                run_button = gr.Button("✨ شروع پردازش و ترکیب تصاویر", variant="primary", elem_classes="primary-btn", elem_id="run-btn")
 
-                with gr.Accordion("Advanced Settings", open=False, visible=False):
-                    seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0)
-                    randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
-                    guidance_scale = gr.Slider(label="True Guidance Scale", minimum=1.0, maximum=10.0, step=0.1, value=1.0)
-                    steps = gr.Slider(label="Inference Steps", minimum=1, maximum=50, step=1, value=4)
+                with gr.Accordion("تنظیمات پیشرفته", open=False, visible=True):
+                    seed = gr.Slider(label="دانه تصادفی (Seed)", minimum=0, maximum=MAX_SEED, step=1, value=0)
+                    randomize_seed = gr.Checkbox(label="استفاده از Seed تصادفی", value=True)
+                    guidance_scale = gr.Slider(label="میزان وفاداری (Guidance Scale)", minimum=1.0, maximum=10.0, step=0.1, value=1.0)
+                    steps = gr.Slider(label="تعداد مراحل (Steps)", minimum=1, maximum=50, step=1, value=4)
 
             with gr.Column(scale=1):
-                output_image = gr.Image(label="Output Image", interactive=False, format="png", height=350)
+                output_image = gr.Image(label="تصویر نهایی", interactive=False, format="png", height=350)
+                download_button = gr.Button("📥 دانلود و ذخیره تصویر", variant="secondary", elem_id="download-btn", elem_classes="primary-btn")
                 
                 with gr.Row():
                     lora_adapter = gr.Dropdown(
-                        label="Choose Editing Style",
-                        choices=["Texture Edit", "Cloth-Design-Fuse", "Fuse-Objects", "Super-Fusion", "Light-Migration", "Material-Transfer"],
-                        value="Texture Edit",
+                        label="انتخاب سبک ویرایش",
+                        choices=list(LORA_MAPPING_PERSIAN.keys()),
+                        value="ویرایش بافت (Texture)",
                     )        
  
         gr.Examples(
             examples=[
-                ["examples/M1.jpg", "examples/M2.jpg", "Refer to the color tone, remove the original lighting from Image 1, and relight Image 1 based on the lighting and color tone of Image 2.", "Light-Migration"],
-                ["examples/Cloth2.jpg", "examples/Design2.png", "Put this design on their shirt.", "Cloth-Design-Fuse"],
-                ["examples/Cup1.png", "examples/Wood1.png", "Apply wood texture to mug.", "Texture Edit"],
-                ["examples/Cloth1.jpg", "examples/Design1.png", "Put this design on their shirt.", "Cloth-Design-Fuse"],
-                ["examples/F3.jpg", "examples/F4.jpg", "Replace her glasses with the new glasses from image 1.", "Super-Fusion"],
-                ["examples/Chair.jpg", "examples/Material.jpg", "Change materials of image1 to match the reference in image2.", "Material-Transfer"],
-                ["examples/F1.jpg", "examples/F2.jpg", "Put the small bottle on the table.", "Super-Fusion"],
-                ["examples/Mug1.jpg", "examples/Texture1.jpg", "Apply the design from image 2 to the mug.", "Texture Edit"],
-                ["examples/Cat1.jpg", "examples/Glass1.webp", "A cat wearing glasses in image 2.", "Fuse-Objects"],
-
+                ["examples/M1.jpg", "examples/M2.jpg", "با توجه به تن رنگ، نورپردازی اصلی تصویر ۱ را حذف کن و بر اساس نور و رنگ تصویر ۲ مجدداً نورپردازی کن.", "انتقال نور (Light Migration)"],
+                ["examples/Cloth2.jpg", "examples/Design2.png", "این طر�� را روی پیراهن قرار بده.", "طراحی لباس (Shirt Design)"],
+                ["examples/Cup1.png", "examples/Wood1.png", "بافت چوب را روی لیوان اعمال کن.", "ویرایش بافت (Texture)"],
+                ["examples/Cloth1.jpg", "examples/Design1.png", "این طرح را روی پیراهن قرار بده.", "طراحی لباس (Shirt Design)"],
+                ["examples/F3.jpg", "examples/F4.jpg", "عینک او را با عینک جدید از تصویر ۱ جایگزین کن.", "ترکیب پیشرفته (Super Fusion)"],
+                ["examples/Chair.jpg", "examples/Material.jpg", "متریال تصویر ۱ را تغییر بده تا با مرجع تصویر ۲ مطابقت داشته باشد.", "انتقال متریال (Material Transfer)"],
+                ["examples/F1.jpg", "examples/F2.jpg", "بطری کوچک را روی میز قرار بده.", "ترکیب پیشرفته (Super Fusion)"],
+                ["examples/Mug1.jpg", "examples/Texture1.jpg", "طرح تصویر ۲ را روی لیوان اعمال کن.", "ویرایش بافت (Texture)"],
+                ["examples/Cat1.jpg", "examples/Glass1.webp", "یک گربه که عینک زده است.", "ترکیب اشیاء (Fusion)"],
             ],
             inputs=[image_1, image_2, prompt, lora_adapter],
-            outputs=[output_image, seed],
+            outputs=[output_image, seed, status_box],
             fn=infer_example,
             cache_examples=False,
-            label="Examples"
+            label="نمونه‌ها (برای تست کلیک کنید)"
         )
 
     run_button.click(
         fn=infer,
         inputs=[image_1, image_2, prompt, lora_adapter, seed, randomize_seed, guidance_scale, steps],
-        outputs=[output_image, seed]
+        outputs=[output_image, seed, status_box],
+        api_name="predict"
+    )
+    
+    download_button.click(
+        fn=None,
+        inputs=[output_image],
+        outputs=None,
+        js=js_download_func
     )
     
 if __name__ == "__main__":
-    demo.queue(max_size=50).launch(css=css, theme=orange_red_theme, mcp_server=True, ssr_mode=False, show_error=True)
+    demo.queue(max_size=50).launch(show_error=True)