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/.

test_mt0.py

@@ -0,0 +1,40 @@
+
+import sys
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+def test_mt0():
+    model_name = "bigscience/mt0-base"
+    print(f"Loading {model_name}...")
+    
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+    
+    # Test cases: (Language, Prompt, Input)
+    # MT0 is instruction tuned, so we should prompt it in the target language or English.
+    # Cross-lingual prompting (English prompt -> Target tasks) is usually supported.
+    
+    test_cases = [
+        ("English", "Correct grammar:", "he go to school yesterday"),
+        ("Polish", "Popraw gramatykę:", "to jest testowe zdanie bez kropki"),
+        ("Finnish", "Korjaa kielioppi:", "tämä on testilause ilman pistettä"),
+        ("Russian", "Исправь грамматику:", "это тестовое предложение без точки"),
+        ("Japanese", "文法を直してください:", "これは点のないテスト文です"),
+        ("Spanish", "Corrige la gramática:", "esta es una oración de prueba sin punto"),
+    ]
+    
+    print("\nStarting MT0 Tests:\n")
+    
+    for lang, prompt_text, input_text in test_cases:
+        full_input = f"{prompt_text} {input_text}"
+        inputs = tokenizer(full_input, return_tensors="pt")
+        
+        outputs = model.generate(inputs.input_ids, max_length=128)
+        corrected = tokenizer.decode(outputs[0], skip_special_tokens=True)
+        
+        print(f"[{lang}]")
+        print(f"Input:    {full_input}")
+        print(f"Output:   {corrected}")
+        print("-" * 20)
+
+if __name__ == "__main__":
+    test_mt0()