Implement active task management for downloads and generations, enhancing user experience with toast notifications for ongoing tasks. Refactor language handling in forms to support multiple languages. Update audio player to manage restart functionality and improve sidebar icon representation. Adjust progress tracking for model downloads in the backend.

backend/tts.py

@@ -14,6 +14,7 @@ from .utils.cache import get_cache_key, get_cached_voice_prompt, cache_voice_pro
 from .utils.audio import normalize_audio
 from .utils.progress import get_progress_manager
 from .utils.hf_progress import HFProgressTracker, create_hf_progress_callback
+from .utils.tasks import get_task_manager
 from . import config
 
 
@@ -111,6 +112,10 @@ class TTSModel:
             if model_path.startswith("Qwen/"):
                 print(f"Loading TTS model {model_size} on {self.device}...")
                 
+                # Start tracking download task
+                task_manager = get_task_manager()
+                task_manager.start_download(model_name)
+                
                 # Initialize progress state to show download has started
                 progress_manager.update_progress(
                     model_name=model_name,
@@ -135,6 +140,7 @@ class TTSModel:
                 
                 # Mark as complete
                 progress_manager.mark_complete(model_name)
+                task_manager.complete_download(model_name)
             else:
                 # Local model, no download needed
                 print(f"Loading TTS model {model_size} on {self.device}...")
@@ -152,13 +158,19 @@ class TTSModel:
         except ImportError as e:
             print(f"Error: qwen_tts package not found. Install with: pip install git+https://github.com/QwenLM/Qwen3-TTS.git")
             progress_manager = get_progress_manager()
-            progress_manager.mark_error(f"qwen-tts-{model_size}", str(e))
+            task_manager = get_task_manager()
+            model_name = f"qwen-tts-{model_size}"
+            progress_manager.mark_error(model_name, str(e))
+            task_manager.error_download(model_name, str(e))
             raise
         except Exception as e:
             print(f"Error loading TTS model: {e}")
             print(f"Tip: The model will be automatically downloaded from HuggingFace Hub on first use.")
             progress_manager = get_progress_manager()
-            progress_manager.mark_error(f"qwen-tts-{model_size}", str(e))
+            task_manager = get_task_manager()
+            model_name = f"qwen-tts-{model_size}"
+            progress_manager.mark_error(model_name, str(e))
+            task_manager.error_download(model_name, str(e))
             raise
     
     async def load_model_async(self, model_size: Optional[str] = None):