fix: complete progress log localization and resolve background customizer layering bug

renderer.js

@@ -182,7 +182,7 @@ function resetWorkspaceToEmpty() {
   // Clear background customizations
   resetBgSettings();
 
-  showToast("Image Changed", "Workspace cleared. You can now load a new image.", "info");
+  showToast(getTrans('toastImageChanged'), getTrans('toastImageChangedMsg'), "info");
 }
 
 // --- PYTHON VENV INSTALLER ENGINE ---
@@ -208,40 +208,55 @@ elements.btnStartSetup.addEventListener('click', async () => {
   };
 
   setStepActive(elements.stepVenv);
+  elements.setupStatusText.innerText = getTrans('setupCreatingVenv');
   
   // Listen for pipeline setup output logs
   window.api.onSetupProgress((progressText) => {
-    elements.setupStatusText.innerText = progressText;
-    
-    // Parse step state
+    // Translate setup output progress text
     if (progressText.includes("Creating Python virtual environment")) {
+      elements.setupStatusText.innerText = getTrans('setupCreatingVenv');
       setStepActive(elements.stepVenv);
       elements.setupProgressBar.style.width = '15%';
-    } else if (progressText.includes("Virtual environment successfully created") || progressText.includes("Virtual environment already exists")) {
+    } else if (progressText.includes("Virtual environment successfully created")) {
+      elements.setupStatusText.innerText = getTrans('setupVenvCreated');
+      setStepDone(elements.stepVenv);
+      setStepActive(elements.stepPip);
+      elements.setupProgressBar.style.width = '30%';
+    } else if (progressText.includes("Virtual environment already exists")) {
+      elements.setupStatusText.innerText = getTrans('setupVenvExists');
       setStepDone(elements.stepVenv);
       setStepActive(elements.stepPip);
       elements.setupProgressBar.style.width = '30%';
     } else if (progressText.includes("Upgrading pip")) {
+      elements.setupStatusText.innerText = getTrans('setupUpgradingPip');
       setStepActive(elements.stepPip);
       elements.setupProgressBar.style.width = '45%';
     } else if (progressText.includes("Installing PyTorch")) {
+      elements.setupStatusText.innerText = getTrans('setupInstallingTorch');
       setStepDone(elements.stepPip);
       setStepActive(elements.stepDeps);
       elements.setupProgressBar.style.width = '60%';
-    } else if (progressText.includes("Downloading torch") || progressText.includes("Installing collected packages")) {
+    } else if (progressText.includes("Downloading torch")) {
+      elements.setupStatusText.innerText = getTrans('setupDownloadingTorch');
       elements.setupProgressBar.style.width = '75%';
+    } else if (progressText.includes("Installing collected packages")) {
+      elements.setupStatusText.innerText = getTrans('setupInstallingDeps');
+      elements.setupProgressBar.style.width = '85%';
     } else if (progressText.includes("Setup completed successfully")) {
+      elements.setupStatusText.innerText = getTrans('setupCompleted');
       setStepDone(elements.stepDeps);
       setStepDone(elements.stepLibs);
       elements.setupProgressBar.style.width = '100%';
+    } else {
+      elements.setupStatusText.innerText = progressText;
     }
   });
 
   try {
     const result = await window.api.runPythonSetup();
     if (result.code === 0) {
-      elements.setupStatusText.innerText = "Configuration Complete! Enjoy background removal.";
-      showToast("Setup Success", "Python environment is fully configured.", "success");
+      elements.setupStatusText.innerText = getTrans('setupCompleted');
+      showToast(getTrans('toastSetupSuccess'), getTrans('toastSetupSuccessMsg'), "success");
       
       setTimeout(() => {
         elements.setupOverlay.classList.add('hidden');
@@ -249,14 +264,14 @@ elements.btnStartSetup.addEventListener('click', async () => {
       }, 1500);
     } else {
       setStepFailed(elements.stepDeps);
-      elements.setupStatusText.innerText = "Setup failed. Check system dependencies.";
+      elements.setupStatusText.innerText = getTrans('setupFailed');
       elements.btnStartSetup.disabled = false;
-      showToast("Setup Error", "Failed to build Python environment.", "error");
+      showToast(getTrans('toastSetupError'), getTrans('toastSetupErrorMsg'), "error");
     }
   } catch (err) {
-    elements.setupStatusText.innerText = `Error: ${err.message}`;
+    elements.setupStatusText.innerText = `${getTrans('toastSetupError')}: ${err.message}`;
     elements.btnStartSetup.disabled = false;
-    showToast("Setup Error", err.message, "error");
+    showToast(getTrans('toastSetupError'), err.message, "error");
   }
 });
 
@@ -551,7 +566,39 @@ const TRANSLATIONS = {
     dragDropSub: "Supports PNG, JPG, JPEG, or WebP formats",
     orText: "OR",
     browseFiles: "Browse Local Files",
-    autoTrim: "Auto-Trim"
+    autoTrim: "Auto-Trim",
+    statusInit: "Initializing AI model...",
+    statusWeights: "Loading neural weights into memory...",
+    statusImporting: "Importing libraries...",
+    statusDetecting: "Detecting device...",
+    statusUsingDevice: "Using device: ",
+    statusLoadingModel: "Loading BiRefNet model...",
+    statusPreprocessing: "Loading and preprocessing image...",
+    statusInference: "Running background removal inference...",
+    statusGeneratingMask: "Generating transparency mask...",
+    statusSaving: "Saving output transparent image...",
+    statusDone: "Completed!",
+    subFirstRun: "This downloads ~200MB of weights on first run.",
+    subInference: "Extracting details and soft matting alpha...",
+    subSaving: "Assembling high-res RGBA container...",
+    subDefault: "Please wait while the AI model processes...",
+    setupReady: "Ready to configure environment.",
+    setupCreatingVenv: "Creating Python virtual environment...",
+    setupVenvCreated: "Virtual environment successfully created.",
+    setupVenvExists: "Virtual environment already exists.",
+    setupUpgradingPip: "Upgrading Python package installer (pip)...",
+    setupInstallingTorch: "Installing PyTorch AI Engine (CPU version)...",
+    setupDownloadingTorch: "Downloading torch and dependencies...",
+    setupInstallingDeps: "Installing collected packages...",
+    setupCompleted: "Configuration Complete! Enjoy background removal.",
+    setupFailed: "Setup failed. Check system dependencies.",
+    exportingMasterpiece: "Exporting masterpiece...",
+    toastExportSuccess: "Export Successful",
+    toastExportSuccessMsg: "Saved file correctly: ",
+    toastExportFailed: "Export Failed",
+    toastExportFailedMsg: "Save operation failed.",
+    toastExportError: "Export Error",
+    showInExplorer: "Show in File Explorer"
   },
   tr: {
     title: "Dekupai - Trunçgil AI Dekupaj",
@@ -603,7 +650,39 @@ const TRANSLATIONS = {
     dragDropSub: "PNG, JPG, JPEG veya WebP formatlarını destekler",
     orText: "VEYA",
     browseFiles: "Yerel Dosyalara Göz Atın",
-    autoTrim: "Oto-Kırp"
+    autoTrim: "Oto-Kırp",
+    statusInit: "AI modeli başlatılıyor...",
+    statusWeights: "Yapay sinir ağları belleğe yükleniyor...",
+    statusImporting: "Kütüphaneler içe aktarılıyor...",
+    statusDetecting: "Donanım tespit ediliyor...",
+    statusUsingDevice: "Kullanılan donanım: ",
+    statusLoadingModel: "BiRefNet modeli yükleniyor...",
+    statusPreprocessing: "Görsel yükleniyor ve ön işleme yapılıyor...",
+    statusInference: "Arka plan temizleme algoritması çalıştırılıyor...",
+    statusGeneratingMask: "Şeffaflık maskesi oluşturuluyor...",
+    statusSaving: "Şeffaf görsel kaydediliyor...",
+    statusDone: "Tamamlandı!",
+    subFirstRun: "İlk çalıştırmada ~200MB ağırlık dosyası indirilir.",
+    subInference: "Detaylar ve yumuşak matlaştırma katmanı çıkarılıyor...",
+    subSaving: "Yüksek çözünürlüklü RGBA görsel birleştiriliyor...",
+    subDefault: "Yapay zeka modeli işleme yaparken lütfen bekleyin...",
+    setupReady: "Ortamı yapılandırmaya hazır.",
+    setupCreatingVenv: "Python sanal ortamı oluşturuluyor...",
+    setupVenvCreated: "Sanal ortam başarıyla oluşturuldu.",
+    setupVenvExists: "Sanal ortam zaten mevcut.",
+    setupUpgradingPip: "Python paket yükleyici (pip) güncelleniyor...",
+    setupInstallingTorch: "PyTorch AI motoru kuruluyor (CPU versiyonu)...",
+    setupDownloadingTorch: "Torch ve bağımlılıklar indiriliyor...",
+    setupInstallingDeps: "Toplanan paketler kuruluyor...",
+    setupCompleted: "Yapılandırma Tamamlandı! Arka plan temizlemenin keyfini çıkarın.",
+    setupFailed: "Kurulum başarısız oldu. Sistem bağımlılıklarını kontrol edin.",
+    exportingMasterpiece: "Çalışma dışa aktarılıyor...",
+    toastExportSuccess: "Dışa Aktarma Başarılı",
+    toastExportSuccessMsg: "Dosya başarıyla kaydedildi: ",
+    toastExportFailed: "Dışa Aktarma Başarısız",
+    toastExportFailedMsg: "Kaydetme işlemi başarısız oldu.",
+    toastExportError: "Dışa Aktarma Hatası",
+    showInExplorer: "Dosya Gezgininde Göster"
   },
   de: {
     title: "Dekupai - Trunçgil AI Dekupage",
@@ -649,13 +728,45 @@ const TRANSLATIONS = {
     stepLibs: "Installation der HuggingFace Transformers & PIL Bibliothek",
     creditsVision: "Entwickelt unter der Vision von",
     creditsExpertise: "durch die Software-Expertise von",
-    creditsDesc: "Dekupai ist ein fortschrittlicher Deep-Learning-Desktop-Arbeitsbereich, der eine lokale, hochpräzise Hintergrundentfernung mithilfe von BiRefNet-Segmentierungsnetzwerken bietet.",
+    creditsDesc: "Dekupai is ein fortschrittlicher Deep-Learning-Desktop-Arbeitsbereich, der eine lokale, hochpräzise Hintergrundentfernung mithilfe von BiRefNet-Segmentierungsnetzwerken bietet.",
     closeCredits: "Schließen",
     dragDropText: "Bild hierher ziehen und ablegen",
     dragDropSub: "Unterstützt PNG-, JPG-, JPEG- oder WebP-Formate",
     orText: "ODER",
     browseFiles: "Lokale Dateien durchsuchen",
-    autoTrim: "Auto-Trim"
+    autoTrim: "Auto-Trim",
+    statusInit: "AI-Modell wird initialisiert...",
+    statusWeights: "Neuronale Gewichte werden geladen...",
+    statusImporting: "Bibliotheken werden importiert...",
+    statusDetecting: "Hardware wird erkannt...",
+    statusUsingDevice: "Verwendetes Gerät: ",
+    statusLoadingModel: "BiRefNet-Modell wird geladen...",
+    statusPreprocessing: "Bild wird geladen und vorverarbeitet...",
+    statusInference: "Hintergrundentfernungs-Inferenz wird ausgeführt...",
+    statusGeneratingMask: "Transparenzmaske wird generiert...",
+    statusSaving: "Transparentes Ausgabebild wird gespeichert...",
+    statusDone: "Abgeschlossen!",
+    subFirstRun: "Erster Start lädt Modell herunter (~200MB)",
+    subInference: "Details und weiche Maske werden extrahiert...",
+    subSaving: "Hochauflösender RGBA-Container wird zusammengestellt...",
+    subDefault: "Bitte warten Sie, während das AI-Modell verarbeitet...",
+    setupReady: "Bereit zum Konfigurieren der Umgebung.",
+    setupCreatingVenv: "Isolierte virtuelle Umgebung (.venv) wird erstellt...",
+    setupVenvCreated: "Virtuelle Umgebung erfolgreich erstellt.",
+    setupVenvExists: "Virtuelle Umgebung existiert bereits.",
+    setupUpgradingPip: "Python-Paketinstallateur (pip) wird aktualisiert...",
+    setupInstallingTorch: "PyTorch AI-Engine (CPU-Version) wird installiert...",
+    setupDownloadingTorch: "Torch und Abhängigkeiten werden heruntergeladen...",
+    setupInstallingDeps: "Gesammelte Pakete werden installiert...",
+    setupCompleted: "Konfiguration abgeschlossen! Viel Spaß mit der Hintergrundentfernung.",
+    setupFailed: "Setup fehlgeschlagen. Systemabhängigkeiten prüfen.",
+    exportingMasterpiece: "Meisterwerk wird exportiert...",
+    toastExportSuccess: "Export erfolgreich",
+    toastExportSuccessMsg: "Datei erfolgreich gespeichert: ",
+    toastExportFailed: "Export fehlgeschlagen",
+    toastExportFailedMsg: "Speichervorgang fehlgeschlagen.",
+    toastExportError: "Exportfehler",
+    showInExplorer: "Im Datei-Explorer anzeigen"
   },
   ru: {
     title: "Dekupai - Trunçgil AI Декупаж",
@@ -707,7 +818,39 @@ const TRANSLATIONS = {
     dragDropSub: "Поддерживает форматы PNG, JPG, JPEG или WebP",
     orText: "ИЛИ",
     browseFiles: "Обзор локальных файлов",
-    autoTrim: "Автообрезка"
+    autoTrim: "Автообрезка",
+    statusInit: "Инициализация модели ИИ...",
+    statusWeights: "Загрузка весов нейросети в память...",
+    statusImporting: "Импорт библиотек...",
+    statusDetecting: "Обнаружение устройства...",
+    statusUsingDevice: "Используемое устройство: ",
+    statusLoadingModel: "Загрузка модели BiRefNet...",
+    statusPreprocessing: "Загрузка и предобработка изображения...",
+    statusInference: "Выполнение удаления фона...",
+    statusGeneratingMask: "Генерация маски прозрачности...",
+    statusSaving: "Сохранение выходного прозрачного изображения...",
+    statusDone: "Готово!",
+    subFirstRun: "Первый запуск загружает модель (~200 МБ)",
+    subInference: "Извлечение деталей и мягкой маски альфа...",
+    subSaving: "Сборка RGBA-контейнера высокого разрешения...",
+    subDefault: "Пожалуйста, подождите, пока модель ИИ обрабатывает...",
+    setupReady: "Готов к настройке среды.",
+    setupCreatingVenv: "Создание изолированной виртуальной среды (.venv)...",
+    setupVenvCreated: "Виртуальная среда успешно создана.",
+    setupVenvExists: "Виртуальная среда уже существует.",
+    setupUpgradingPip: "Обновление установщика пакетов Python (pip)...",
+    setupInstallingTorch: "Установка движка ИИ PyTorch (версия CPU)...",
+    setupDownloadingTorch: "Скачивание torch и зависимостей...",
+    setupInstallingDeps: "Установка собранных пакетов...",
+    setupCompleted: "Настройка завершена! Наслаждайтесь удалением фона.",
+    setupFailed: "Ошибка настройки. Проверьте системные зависимости.",
+    exportingMasterpiece: "Экспорт шедевра...",
+    toastExportSuccess: "Экспорт успешен",
+    toastExportSuccessMsg: "Файл успешно сохранен: ",
+    toastExportFailed: "Ошибка экспорта",
+    toastExportFailedMsg: "Операция сохранения не удалась.",
+    toastExportError: "Ошибка экспорта",
+    showInExplorer: "Показать в проводнике"
   },
   ar: {
     title: "Dekupai - Trunçgil AI إزالة الخلفية",
@@ -759,7 +902,39 @@ const TRANSLATIONS = {
     dragDropSub: "يدعم صيغ PNG أو JPG أو JPEG أو WebP",
     orText: "أو",
     browseFiles: "تصفح الملفات المحلية",
-    autoTrim: "قص تلقائي"
+    autoTrim: "قص تلقائي",
+    statusInit: "تهيئة نموذج الذكاء الاصطناعي...",
+    statusWeights: "تحميل أوزان الشبكة العصبية في الذاكرة...",
+    statusImporting: "استيراد المكتبات...",
+    statusDetecting: "الكشف عن الجهاز...",
+    statusUsingDevice: "الجهاز المستخدم: ",
+    statusLoadingModel: "تحميل نموذج BiRefNet...",
+    statusPreprocessing: "تحميل ومعالجة الصورة مسبقاً...",
+    statusInference: "تشغيل خوارزمية إزالة الخلفية...",
+    statusGeneratingMask: "إنشاء قناع الشفافية...",
+    statusSaving: "حفظ الصورة الشفافة الناتجة...",
+    statusDone: "اكتمل!",
+    subFirstRun: "التشغيل الأول يقوم بتنزيل النموذج (~200 ميجابايت)",
+    subInference: "استخراج التفاصيل والشفافية الناعمة...",
+    subSaving: "تجميع حاوية RGBA عالية الدقة...",
+    subDefault: "يرجى الانتظار أثناء معالجة نموذج الذكاء الاصطناعي...",
+    setupReady: "جاهز لتكوين البيئة.",
+    setupCreatingVenv: "إنشاء بيئة افتراضية معزولة (.venv)...",
+    setupVenvCreated: "تم إنشاء البيئة الافتراضية بنجاح.",
+    setupVenvExists: "البيئة الافتراضية موجودة بالفعل.",
+    setupUpgradingPip: "ترقية مثبت حزم بايثون (pip)...",
+    setupInstallingTorch: "تثبيت محرك الذكاء الاصطناعي PyTorch (نسخة CPU)...",
+    setupDownloadingTorch: "تنزيل torch والاعتمادات...",
+    setupInstallingDeps: "تثبيت الحزم التي تم جمعها...",
+    setupCompleted: "اكتمل التكوين! استمتع بإزالة الخلفية.",
+    setupFailed: "فشل الإعداد. تحقق من تبعيات النظام.",
+    exportingMasterpiece: "تصدير العمل الفني...",
+    toastExportSuccess: "تم التصدير بنجاح",
+    toastExportSuccessMsg: "تم حفظ الملف بنجاح: ",
+    toastExportFailed: "فشل التصدير",
+    toastExportFailedMsg: "فشلت عملية الحفظ.",
+    toastExportError: "خطأ في التصدير",
+    showInExplorer: "عرض في مستكشف الملفات"
   }
 };
 
@@ -862,8 +1037,8 @@ async function executeBackgroundRemoval() {
 
   elements.btnRemoveBg.classList.add('hidden');
   elements.loaderBox.classList.remove('hidden');
-  elements.loaderText.innerText = "Initializing AI model...";
-  elements.loaderSubtext.innerText = "Loading neural weights into memory...";
+  elements.loaderText.innerText = getTrans('statusInit');
+  elements.loaderSubtext.innerText = getTrans('statusWeights');
 
   // Get unique temporary output file path
   const tempOut = await window.api.getTempPath('transparent_result.png');
@@ -871,15 +1046,40 @@ async function executeBackgroundRemoval() {
   // Listen to execution progress
   window.api.onProcessProgress((progress) => {
     if (progress.includes("[STATUS]")) {
-      const statusText = progress.replace("[STATUS] ", "");
-      elements.loaderText.innerText = statusText;
+      const statusText = progress.replace("[STATUS] ", "").trim();
       
-      if (statusText.includes("Hugging Face")) {
-        elements.loaderSubtext.innerText = "This downloads ~200MB of weights on first run.";
-      } else if (statusText.includes("inference")) {
-        elements.loaderSubtext.innerText = "Extracting details and soft matting alpha...";
-      } else if (statusText.includes("Saving")) {
-        elements.loaderSubtext.innerText = "Assembling high-res RGBA container...";
+      // Let's map statusText to localized keys
+      if (statusText.includes("Importing libraries")) {
+        elements.loaderText.innerText = getTrans('statusImporting');
+        elements.loaderSubtext.innerText = getTrans('subDefault');
+      } else if (statusText.includes("Detecting device")) {
+        elements.loaderText.innerText = getTrans('statusDetecting');
+        elements.loaderSubtext.innerText = getTrans('subDefault');
+      } else if (statusText.startsWith("Using device:")) {
+        const device = statusText.replace("Using device:", "").trim();
+        elements.loaderText.innerText = getTrans('statusUsingDevice') + device;
+        elements.loaderSubtext.innerText = getTrans('subDefault');
+      } else if (statusText.includes("Loading BiRefNet model")) {
+        elements.loaderText.innerText = getTrans('statusLoadingModel');
+        elements.loaderSubtext.innerText = getTrans('subFirstRun');
+      } else if (statusText.includes("Loading and preprocessing image")) {
+        elements.loaderText.innerText = getTrans('statusPreprocessing');
+        elements.loaderSubtext.innerText = getTrans('subDefault');
+      } else if (statusText.includes("Running background removal inference")) {
+        elements.loaderText.innerText = getTrans('statusInference');
+        elements.loaderSubtext.innerText = getTrans('subInference');
+      } else if (statusText.includes("Generating transparency mask")) {
+        elements.loaderText.innerText = getTrans('statusGeneratingMask');
+        elements.loaderSubtext.innerText = getTrans('subInference');
+      } else if (statusText.includes("Saving output transparent image")) {
+        elements.loaderText.innerText = getTrans('statusSaving');
+        elements.loaderSubtext.innerText = getTrans('subSaving');
+      } else if (statusText.includes("DONE")) {
+        elements.loaderText.innerText = getTrans('statusDone');
+        elements.loaderSubtext.innerText = "";
+      } else {
+        // Fallback for any other status logs
+        elements.loaderText.innerText = statusText;
       }
     }
   });
@@ -889,7 +1089,7 @@ async function executeBackgroundRemoval() {
     
     if (result.success) {
       processedTempPath = result.outputPath;
-      showToast("AI Success", "Image background removed successfully!", "success");
+      showToast(getTrans('toastTitleSuccess'), getTrans('toastTrimCompleteMsg'), "success");
       
       // Update workspace preview image source to output transparent PNG
       // Add timestamp to bypass browser cache refreshing
@@ -909,10 +1109,10 @@ async function executeBackgroundRemoval() {
       }, 300);
 
     } else {
-      showToast("Inference Error", result.error || "Execution terminated unexpectedly.", "error");
+      showToast(getTrans('toastTitleError'), result.error || getTrans('toastSetupErrorMsg'), "error");
     }
   } catch (err) {
-    showToast("AI Fatal Error", err.message, "error");
+    showToast(getTrans('toastTitleError'), err.message, "error");
   } finally {
     elements.loaderBox.classList.add('hidden');
     elements.btnRemoveBg.classList.remove('hidden');
@@ -1006,7 +1206,7 @@ async function executeExport() {
   elements.btnExport.disabled = true;
   elements.btnExport.innerHTML = `
     <svg class="loader-ring" viewBox="0 0 50 50" style="width:16px;height:16px;margin:0;"><circle cx="25" cy="25" r="20" fill="none" stroke-width="4" stroke="#fff"></circle></svg>
-    <span>Exporting masterpiece...</span>
+    <span>${getTrans('exportingMasterpiece')}</span>
   `;
 
   setTimeout(async () => {
@@ -1069,22 +1269,22 @@ async function executeExport() {
       
       if (result.success) {
         showToastWithAction(
-          "Export Successful", 
-          `Saved file correctly: ${result.filePath.split(/[\\/]/).pop()}`, 
+          getTrans('toastExportSuccess'), 
+          `${getTrans('toastExportSuccessMsg')}${result.filePath.split(/[\\/]/).pop()}`, 
           "success",
           result.filePath
         );
       } else if (!result.canceled) {
-        showToast("Export Failed", result.error || "Save operation failed.", "error");
+        showToast(getTrans('toastExportFailed'), result.error || getTrans('toastExportFailedMsg'), "error");
       }
     } catch (err) {
-      showToast("Export Error", err.message, "error");
+      showToast(getTrans('toastExportError'), err.message, "error");
     } finally {
       // Re-enable button
       elements.btnExport.disabled = false;
       elements.btnExport.innerHTML = `
         <svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4"></path><polyline points="7 10 12 15 17 10"></polyline><line x1="12" y1="15" x2="12" y2="3"></line></svg>
-        <span>Export Masterpiece</span>
+        <span>${getTrans('exportMasterpiece')}</span>
       `;
     }
   }, 100);
@@ -1118,7 +1318,7 @@ function showToastWithAction(title, message, type = 'success', filePath) {
   hideToast();
   
   elements.toastTitle.innerText = title;
-  elements.toastMessage.innerHTML = `${message} <br><button id="btn-toast-explore" class="btn btn-secondary btn-sm" style="margin-top:6px;width:100%;">Show in File Explorer</button>`;
+  elements.toastMessage.innerHTML = `${message} <br><button id="btn-toast-explore" class="btn btn-secondary btn-sm" style="margin-top:6px;width:100%;">${getTrans('showInExplorer')}</button>`;
   
   elements.toastBanner.className = 'toast-notification glass-panel-inner';
   if (type === 'success') elements.toastBanner.classList.add('success');