Release v1.0.2: Implemented Style Prompting & Removed Grammar Correction

- Removed M2M100 Grammar Correction model completely to reduce bloat/complexity.
- Implemented 'Style Prompting' in Settings -> AI Engine to handle punctuation natively via Whisper.
- Added Style Presets: Standard (Default), Casual, and Custom.
- Optimized Build: Bootstrapper no longer requires transformers/sentencepiece.
- Fixed 'torch' NameError in Low VRAM mode.
- Fixed Bootstrapper missing dependency detection.
- Updated UI to reflect removed features.
- Included compiled v1.0.2 Executable in dist/.

main.py

@@ -101,20 +101,14 @@ class DownloadWorker(QThread):
             import requests
             from tqdm import tqdm
             model_path = get_models_path()
+            # Determine what to download
             dest_dir = model_path / f"faster-whisper-{self.model_name}"
-            dest_dir.mkdir(parents=True, exist_ok=True)
-            
-            # Files to download for a standard faster-whisper model
-            # We map local filenames to HF repo filenames
             repo_id = f"Systran/faster-whisper-{self.model_name}"
             files = ["config.json", "model.bin", "tokenizer.json", "vocabulary.json"]
-            
-            # Check if Preprocessor config exists (sometimes it does, usually optional for whisper?)
-            # We'll stick to the core 4.
-            
             base_url = f"https://huggingface.co/{repo_id}/resolve/main"
-            
-            logging.info(f"Downloading {self.model_name} from {base_url}...")
+
+            dest_dir.mkdir(parents=True, exist_ok=True)
+            logging.info(f"Downloading {self.model_name} to {dest_dir}...")
             
             # 1. Calculate Total Size
             total_size = 0