v1.0.1 Feature Update and Polish

Full Changelog:

[New Features]
- Added Native Translation Mode:
  - Whisper model now fully supports Translating any language to English
  - Added 'task' and 'language' parameters to Transcriber core
- Dual Hotkey Support:
  - Added separate Global Hotkeys for Transcribe (default F8) and Translate (default F10)
  - Both hotkeys are fully customizable in Settings
  - Engine dynamically switches modes based on which key is pressed

[UI/UX Improvements]
- Settings Window:
  - Widened Hotkey Input fields (240px) to accommodate long combinations
  - Added Pretty-Printing for hotkey sequences (e.g. 'ctrl+f9' display as 'Ctrl + F9')
  - Replaced Country Code dropdown with Full Language Names (99+ languages)
  - Made Language Dropdown scrollable (max height 300px) to prevent screen overflow
  - Removed redundant 'Task' selector (replaced by dedicated hotkeys)
- System Tray:
  - Tooltip now displays both Transcribe and Translate hotkeys
  - Tooltip hotkeys are formatted readably

[Core & Performance]
- Bootstrapper:
  - Implemented Smart Incremental Sync
  - Now checks filesize and content hash before copying files
  - Drastically reduces startup time for subsequent runs
  - Preserves user settings.json during updates
- Backend:
  - Fixed HotkeyManager to support dynamic configuration keys
  - Fixed Language Lock: selecting a language now correctly forces the model to use it
  - Refactored bridge/main connection for language list handling

src/core/transcriber.py

@@ -74,11 +74,11 @@ class WhisperTranscriber:
             logging.error(f"Failed to load model: {e}")
             self.model = None
 
-    def transcribe(self, audio_data, is_file: bool = False) -> str:
+    def transcribe(self, audio_data, is_file: bool = False, task: Optional[str] = None) -> str:
         """
         Transcribe audio data.
         """
-        logging.info(f"Starting transcription... (is_file={is_file})")
+        logging.info(f"Starting transcription... (is_file={is_file}, task={task})")
         
         # Ensure model is loaded
         if not self.model:
@@ -91,6 +91,10 @@ class WhisperTranscriber:
             beam_size = int(self.config.get("beam_size"))
             best_of = int(self.config.get("best_of"))
             vad = False if is_file else self.config.get("vad_filter")
+            language = self.config.get("language")
+            
+            # Use task override if provided, otherwise config
+            final_task = task if task else self.config.get("task")
             
             # Transcribe
             segments, info = self.model.transcribe(
@@ -98,6 +102,8 @@ class WhisperTranscriber:
                 beam_size=beam_size,
                 best_of=best_of,
                 vad_filter=vad,
+                task=final_task,
+                language=language if language != "auto" else None,
                 vad_parameters=dict(min_silence_duration_ms=500),
                 condition_on_previous_text=self.config.get("condition_on_previous_text"),
                 without_timestamps=True