""" Style-Bert-VITS2-Editor用のサーバー。 次のリポジトリ https://github.com/litagin02/Style-Bert-VITS2-Editor をビルドしてできあがったファイルをWebフォルダに入れて実行する。 TODO: リファクタリングやドキュメンテーションやAPI整理、辞書周りの改善などが必要。 """ import argparse import io import shutil import sys import webbrowser import zipfile from datetime import datetime from io import BytesIO from pathlib import Path import numpy as np import pyopenjtalk import requests import uvicorn from fastapi import FastAPI, HTTPException, status from fastapi.middleware.cors import CORSMiddleware from fastapi.responses import JSONResponse, Response from fastapi.staticfiles import StaticFiles from pydantic import BaseModel from scipy.io import wavfile from common.constants import ( DEFAULT_ASSIST_TEXT_WEIGHT, DEFAULT_NOISE, DEFAULT_NOISEW, DEFAULT_SDP_RATIO, DEFAULT_STYLE, DEFAULT_STYLE_WEIGHT, LATEST_VERSION, USER_DICT_CSV_PATH, USER_DICT_PATH, Languages, ) from common.log import logger from common.tts_model import ModelHolder from text.japanese import g2kata_tone, kata_tone2phone_tone STATIC_DIR = Path("Web") # ビルドした静的ファイルを配置するディレクトリ LAST_DOWNLOAD_FILE = STATIC_DIR / "last_download.txt" def download_static_files(user, repo, asset_name): """Style-Bert-VITS2エディターの最新のビルドzipをダウンロードして展開する。""" logger.info("Checking for new release...") latest_release = get_latest_release(user, repo) if latest_release is None: logger.warning( "Failed to fetch the latest release. Proceeding without static files." ) return if not new_release_available(latest_release): logger.info("No new release available. Proceeding with existing static files.") return # asset_name = "out.zip" asset_url = get_asset_url(latest_release, asset_name) if asset_url: if STATIC_DIR.exists(): shutil.rmtree(STATIC_DIR) STATIC_DIR.mkdir(parents=True, exist_ok=True) download_and_extract(asset_url, STATIC_DIR) save_last_download(latest_release) else: logger.warning("Asset not found. Proceeding without static files.") def get_latest_release(user, repo): url = f"https://api.github.com/repos/{user}/{repo}/releases/latest" try: response = requests.get(url) response.raise_for_status() return response.json() except requests.RequestException: return None def get_asset_url(release, asset_name): for asset in release["assets"]: if asset["name"] == asset_name: return asset["browser_download_url"] return None def download_and_extract(url, extract_to): response = requests.get(url) response.raise_for_status() with zipfile.ZipFile(io.BytesIO(response.content)) as zip_ref: zip_ref.extractall(extract_to) def new_release_available(latest_release): if LAST_DOWNLOAD_FILE.exists(): with open(LAST_DOWNLOAD_FILE, "r") as file: last_download_str = file.read().strip() # 'Z'を除去して日時オブジェクトに変換 last_download_str = last_download_str.replace("Z", "+00:00") last_download = datetime.fromisoformat(last_download_str) return ( datetime.fromisoformat( latest_release["published_at"].replace("Z", "+00:00") ) > last_download ) return True def save_last_download(latest_release): with open(LAST_DOWNLOAD_FILE, "w") as file: file.write(latest_release["published_at"]) class AudioResponse(Response): media_type = "audio/wav" origins = [ "http://localhost:3000", "http://localhost:8000", "http://127.0.0.1:3000", "http://127.0.0.1:8000", ] parser = argparse.ArgumentParser() parser.add_argument("--model_dir", type=str, default="model_assets/") parser.add_argument("--device", type=str, default="cuda") args = parser.parse_args() device = args.device model_dir = Path(args.model_dir) model_holder = ModelHolder(model_dir, device) if len(model_holder.model_names) == 0: logger.error(f"Models not found in {model_dir}.") sys.exit(1) app = FastAPI() app.add_middleware( CORSMiddleware, allow_origins=origins, allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) @app.get("/version") def version() -> str: return LATEST_VERSION class MoraTone(BaseModel): mora: str tone: int class G2PRequest(BaseModel): text: str @app.post("/g2p") async def read_item(item: G2PRequest): try: kata_tone_list = g2kata_tone(item.text, ignore_unknown=True) except Exception as e: raise HTTPException( status_code=400, detail=f"Failed to convert {item.text} to katakana and tone, {e}", ) return [MoraTone(mora=kata, tone=tone) for kata, tone in kata_tone_list] @app.get("/models_info") def models_info(): return model_holder.models_info() class SynthesisRequest(BaseModel): model: str modelFile: str text: str moraToneList: list[MoraTone] style: str = DEFAULT_STYLE styleWeight: float = DEFAULT_STYLE_WEIGHT assistText: str = "" assistTextWeight: float = DEFAULT_ASSIST_TEXT_WEIGHT speed: float = 1.0 noise: float = DEFAULT_NOISE noisew: float = DEFAULT_NOISEW sdpRatio: float = DEFAULT_SDP_RATIO language: Languages = Languages.JP silenceAfter: float = 0.5 pitchScale: float = 1.0 intonationScale: float = 1.0 @app.post("/synthesis", response_class=AudioResponse) def synthesis(request: SynthesisRequest): try: model = model_holder.load_model( model_name=request.model, model_path_str=request.modelFile ) except Exception as e: logger.error(e) raise HTTPException( status_code=500, detail=f"Failed to load model {request.model} from {request.modelFile}, {e}", ) text = request.text kata_tone_list = [ (mora_tone.mora, mora_tone.tone) for mora_tone in request.moraToneList ] phone_tone = kata_tone2phone_tone(kata_tone_list) tone = [t for _, t in phone_tone] sr, audio = model.infer( text=text, language=request.language.value, sdp_ratio=request.sdpRatio, noise=request.noise, noisew=request.noisew, length=1 / request.speed, given_tone=tone, style=request.style, style_weight=request.styleWeight, assist_text=request.assistText, assist_text_weight=request.assistTextWeight, use_assist_text=bool(request.assistText), line_split=False, ignore_unknown=True, pitch_scale=request.pitchScale, intonation_scale=request.intonationScale, ) with BytesIO() as wavContent: wavfile.write(wavContent, sr, audio) return Response(content=wavContent.getvalue(), media_type="audio/wav") class MultiSynthesisRequest(BaseModel): lines: list[SynthesisRequest] @app.post("/multi_synthesis", response_class=AudioResponse) def multi_synthesis(request: MultiSynthesisRequest): lines = request.lines audios = [] for i, req in enumerate(lines): # Loade model try: model = model_holder.load_model( model_name=req.model, model_path_str=req.modelFile ) except Exception as e: logger.error(e) raise HTTPException( status_code=500, detail=f"Failed to load model {req.model} from {req.modelFile}, {e}", ) text = req.text kata_tone_list = [ (mora_tone.mora, mora_tone.tone) for mora_tone in req.moraToneList ] phone_tone = kata_tone2phone_tone(kata_tone_list) tone = [t for _, t in phone_tone] sr, audio = model.infer( text=text, language=req.language.value, sdp_ratio=req.sdpRatio, noise=req.noise, noisew=req.noisew, length=1 / req.speed, given_tone=tone, style=req.style, style_weight=req.styleWeight, assist_text=req.assistText, assist_text_weight=req.assistTextWeight, use_assist_text=bool(req.assistText), line_split=False, ignore_unknown=True, pitch_scale=req.pitchScale, intonation_scale=req.intonationScale, ) audios.append(audio) if i < len(lines) - 1: silence = int(sr * req.silenceAfter) audios.append(np.zeros(silence, dtype=np.int16)) audio = np.concatenate(audios) with BytesIO() as wavContent: wavfile.write(wavContent, sr, audio) return Response(content=wavContent.getvalue(), media_type="audio/wav") class AddUserDictWordRequest(BaseModel): surface: str pronunciation: str accentType: str # アクセント核位置/モーラ数、例：1/3, アクセント核位置は1から始まる priority: int = 5 # コストの値は以下の値を参考にしている # https://github.com/VOICEVOX/voicevox_engine/blob/master/voicevox_engine/user_dict/part_of_speech_data.py COST_CANDIDATES = [-988, 3488, 4768, 6048, 7328, 8609, 8734, 8859, 8984, 9110, 14176] @app.post("/user_dict_word") def add_user_dict_word(request: AddUserDictWordRequest): if request.surface == "" or request.pronunciation == "": return JSONResponse( status_code=status.HTTP_400_BAD_REQUEST, content={"message": "単語か読みが空です。"}, ) user_dict_file = Path(USER_DICT_CSV_PATH) user_dict_file.parent.mkdir(parents=True, exist_ok=True) # 新規追加または更新する単語のCSV行 new_csv_row = f"{request.surface},,,{COST_CANDIDATES[request.priority]},名詞,固有名詞,一般,*,*,*,{request.surface},{request.pronunciation},{request.pronunciation},{request.accentType},*\n" found = False updated = False # ユーザー辞書ファイルが存在する場合、既存の単語をチェックし、必要に応じて更新する if user_dict_file.exists(): with user_dict_file.open(encoding="utf-8") as f: lines = f.readlines() with user_dict_file.open("w", encoding="utf-8") as f: for line in lines: if line.split(",")[0] == request.surface: found = True if line.strip() != new_csv_row.strip(): f.write(new_csv_row) updated = True else: f.write(line) else: f.write(line) # 単語が新しい場合、新規に追加 if not found: with user_dict_file.open("a", encoding="utf-8") as f: f.write(new_csv_row) pyopenjtalk.unset_user_dict() pyopenjtalk.mecab_dict_index(USER_DICT_CSV_PATH, USER_DICT_PATH) pyopenjtalk.update_global_jtalk_with_user_dict(USER_DICT_PATH) if updated: return JSONResponse( status_code=status.HTTP_200_OK, content={"message": "単語が既に存在し、更新されました。"}, ) elif found: return JSONResponse( status_code=status.HTTP_200_OK, content={"message": "既に登録されている単語です。更新はありません。"}, ) else: return JSONResponse( status_code=status.HTTP_201_CREATED, content={"message": "単語が新規追加されました。"}, ) if __name__ == "__main__": download_static_files("litagin02", "Style-Bert-VITS2-Editor", "out.zip") app.mount("/", StaticFiles(directory=STATIC_DIR, html=True), name="Web") webbrowser.open("http://localhost:8000") uvicorn.run(app, host="0.0.0.0", port=8000)