[Add] Implement Transliterator class for kanji and okurigana analysis; update requirements and spec files

backend.spec

@@ -5,7 +5,7 @@ a = Analysis(
     ['src-python\\mainloop.py'],
     pathex=[],
     binaries=[],
-    datas=[('./fonts', 'fonts/'), ('.venv/Lib/site-packages/zeroconf', 'zeroconf/'), ('.venv/Lib/site-packages/openvr', 'openvr/'), ('.venv/Lib/site-packages/pykakasi', 'pykakasi/'), ('.venv/Lib/site-packages/faster_whisper', 'faster_whisper/'), ('.venv/Lib/site-packages/hf_xet', 'hf_xet/')],
+    datas=[('./fonts', 'fonts/'), ('.venv/Lib/site-packages/zeroconf', 'zeroconf/'), ('.venv/Lib/site-packages/openvr', 'openvr/'), ('.venv/Lib/site-packages/faster_whisper', 'faster_whisper/'), ('.venv/Lib/site-packages/hf_xet', 'hf_xet/')],
     hiddenimports=[],
     hookspath=[],
     hooksconfig={},

backend_cuda.spec

@@ -5,7 +5,7 @@ a = Analysis(
     ['src-python\\mainloop.py'],
     pathex=[],
     binaries=[],
-    datas=[('./fonts', 'fonts/'), ('.venv_cuda/Lib/site-packages/zeroconf', 'zeroconf/'), ('.venv_cuda/Lib/site-packages/openvr', 'openvr/'), ('.venv_cuda/Lib/site-packages/pykakasi', 'pykakasi/'), ('.venv_cuda/Lib/site-packages/faster_whisper', 'faster_whisper/'), ('.venv/Lib/site-packages/hf_xet', 'hf_xet/')],
+    datas=[('./fonts', 'fonts/'), ('.venv_cuda/Lib/site-packages/zeroconf', 'zeroconf/'), ('.venv_cuda/Lib/site-packages/openvr', 'openvr/'), ('.venv_cuda/Lib/site-packages/faster_whisper', 'faster_whisper/'), ('.venv/Lib/site-packages/hf_xet', 'hf_xet/')],
     hiddenimports=[],
     hookspath=[],
     hooksconfig={},

requirements.txt

@@ -13,12 +13,14 @@ sentencepiece==0.2.0
 openvr==1.26.701
 pydub==0.25.1
 psutil==5.9.8
-pykakasi==2.3.0
 pycaw==20240210
 websockets==15.0.1
 huggingface_hub==0.32.2
 hf-xet==1.1.2
 setuptools==80.8.0
+SudachiPy==0.6.10
+SudachiDict-core==20250825
+SudachiDict-full==20250825
 translators @ git+https://github.com/misyaguziya/translators@5.9.2.1
 SpeechRecognition @ git+https://github.com/misyaguziya/custom_speech_recognition@3.10.4.1
 tinyoscquery @ git+https://github.com/cyberkitsune/tinyoscquery@0.1.3

requirements_cuda.txt

@@ -14,12 +14,14 @@ sentencepiece==0.2.0
 openvr==1.26.701
 pydub==0.25.1
 psutil==5.9.8
-pykakasi==2.3.0
 pycaw==20240210
 websockets==15.0.1
 huggingface_hub==0.32.2
 hf-xet==1.1.2
 setuptools==80.8.0
+SudachiPy==0.6.10
+SudachiDict-core==20250825
+SudachiDict-full==20250825
 translators @ git+https://github.com/misyaguziya/translators@5.9.2.1
 SpeechRecognition @ git+https://github.com/misyaguziya/custom_speech_recognition@3.10.4.1
 tinyoscquery @ git+https://github.com/cyberkitsune/tinyoscquery@0.1.3

src-python/model.py

@@ -14,7 +14,6 @@ from typing import Callable
 from packaging.version import parse
 
 from flashtext import KeywordProcessor
-from pykakasi import kakasi
 
 from device_manager import device_manager
 from config import config
@@ -28,6 +27,7 @@ from models.translation.translation_languages import translation_lang
 from models.transcription.transcription_languages import transcription_lang
 from models.translation.translation_utils import checkCTranslate2Weight, downloadCTranslate2Weight, downloadCTranslate2Tokenizer
 from models.transcription.transcription_whisper import checkWhisperWeight, downloadWhisperWeight
+from models.transliterate.transliterate_transliterator import Transliterator
 from models.overlay.overlay import Overlay
 from models.overlay.overlay_image import OverlayImage
 from models.watchdog.watchdog import Watchdog
@@ -99,7 +99,7 @@ class Model:
         self.overlay_image = OverlayImage(config.PATH_LOCAL)
         self.mic_audio_queue = None
         self.mic_mute_status = None
-        self.kks = kakasi()
+        self.transliterator = Transliterator()
         self.watchdog = Watchdog(config.WATCHDOG_TIMEOUT, config.WATCHDOG_INTERVAL)
         self.osc_handler = OSCHandler(config.OSC_IP_ADDRESS, config.OSC_PORT)
         self.websocket_server = None
@@ -285,7 +285,7 @@ class Model:
         if romaji:
             keys_to_keep.add("hepburn")
 
-        data_list = self.kks.convert(message)
+        data_list = self.transliterator.analyze(message, use_macron=False)
         filtered_list = [
             {key: value for key, value in item.items() if key in keys_to_keep}
             for item in data_list