918d168ae7
The logic has not been changed, only renaming, splitting and moving modules on a per-function basis. Existing code will be left in place for the time being to avoid breaking the training code, which is not subject to refactoring this time.
434 lines
13 KiB
Python
434 lines
13 KiB
Python
"""
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Style-Bert-VITS2-Editor用のサーバー。
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次のリポジトリ
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https://github.com/litagin02/Style-Bert-VITS2-Editor
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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。
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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。
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"""
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import argparse
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import io
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import shutil
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import sys
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import webbrowser
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import yaml
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import zipfile
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from datetime import datetime
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from io import BytesIO
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from pathlib import Path
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import numpy as np
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import requests
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import torch
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import uvicorn
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from fastapi import APIRouter, FastAPI, HTTPException, status
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import JSONResponse, Response
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from fastapi.staticfiles import StaticFiles
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from pydantic import BaseModel
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from scipy.io import wavfile
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from transformers import AutoTokenizer
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from common.tts_model import ModelHolder
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from style_bert_vits2.constants import (
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DEFAULT_ASSIST_TEXT_WEIGHT,
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DEFAULT_NOISE,
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DEFAULT_NOISEW,
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DEFAULT_SDP_RATIO,
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DEFAULT_STYLE,
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DEFAULT_STYLE_WEIGHT,
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VERSION,
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Languages,
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)
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from style_bert_vits2.logging import logger
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from style_bert_vits2.text_processing.japanese.g2p_utils import g2kata_tone, kata_tone2phone_tone
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from style_bert_vits2.text_processing.japanese.normalizer import normalize_text
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from text.user_dict import (
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apply_word,
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update_dict,
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read_dict,
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rewrite_word,
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delete_word,
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)
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# ---フロントエンド部分に関する処理---
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# エディターのビルドファイルを配置するディレクトリ
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STATIC_DIR = Path("static")
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# エディターの最新のビルドファイルのダウンロード日時を記録するファイル
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LAST_DOWNLOAD_FILE = STATIC_DIR / "last_download.txt"
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def download_static_files(user, repo, asset_name):
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"""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。"""
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logger.info("Checking for new release...")
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latest_release = get_latest_release(user, repo)
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if latest_release is None:
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logger.warning(
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"Failed to fetch the latest release. Proceeding without static files."
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)
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return
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if not new_release_available(latest_release):
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logger.info("No new release available. Proceeding with existing static files.")
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return
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logger.info("New release available. Downloading static files...")
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asset_url = get_asset_url(latest_release, asset_name)
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if asset_url:
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if STATIC_DIR.exists():
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shutil.rmtree(STATIC_DIR)
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STATIC_DIR.mkdir(parents=True, exist_ok=True)
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download_and_extract(asset_url, STATIC_DIR)
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save_last_download(latest_release)
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else:
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logger.warning("Asset not found. Proceeding without static files.")
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def get_latest_release(user, repo):
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url = f"https://api.github.com/repos/{user}/{repo}/releases/latest"
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try:
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response = requests.get(url)
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response.raise_for_status()
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return response.json()
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except requests.RequestException:
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return None
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def get_asset_url(release, asset_name):
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for asset in release["assets"]:
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if asset["name"] == asset_name:
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return asset["browser_download_url"]
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return None
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def download_and_extract(url, extract_to: Path):
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response = requests.get(url)
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response.raise_for_status()
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with zipfile.ZipFile(io.BytesIO(response.content)) as zip_ref:
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zip_ref.extractall(extract_to)
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# 展開先が1つのディレクトリだけの場合、その中身を直下に移動する
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extracted_dirs = list(extract_to.iterdir())
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if len(extracted_dirs) == 1 and extracted_dirs[0].is_dir():
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for file in extracted_dirs[0].iterdir():
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file.rename(extract_to / file.name)
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extracted_dirs[0].rmdir()
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# index.htmlが存在するかチェック
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if not (extract_to / "index.html").exists():
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logger.warning("index.html not found in the extracted files.")
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def new_release_available(latest_release):
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if LAST_DOWNLOAD_FILE.exists():
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with open(LAST_DOWNLOAD_FILE, "r") as file:
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last_download_str = file.read().strip()
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# 'Z'を除去して日時オブジェクトに変換
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last_download_str = last_download_str.replace("Z", "+00:00")
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last_download = datetime.fromisoformat(last_download_str)
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return (
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datetime.fromisoformat(
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latest_release["published_at"].replace("Z", "+00:00")
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)
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> last_download
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)
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return True
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def save_last_download(latest_release):
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with open(LAST_DOWNLOAD_FILE, "w") as file:
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file.write(latest_release["published_at"])
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# ---フロントエンド部分に関する処理ここまで---
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# 以降はAPIの設定
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# 最初に pyopenjtalk の辞書を更新
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update_dict()
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# 単語分割に使う BERT トークナイザーをロード
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tokenizer = AutoTokenizer.from_pretrained("./bert/deberta-v2-large-japanese-char-wwm")
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class AudioResponse(Response):
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media_type = "audio/wav"
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origins = [
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"http://localhost:3000",
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"http://localhost:8000",
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"http://127.0.0.1:3000",
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"http://127.0.0.1:8000",
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]
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# Get path settings
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with open(Path("configs/paths.yml"), "r", encoding="utf-8") as f:
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path_config: dict[str, str] = yaml.safe_load(f.read())
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# dataset_root = path_config["dataset_root"]
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assets_root = path_config["assets_root"]
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parser = argparse.ArgumentParser()
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parser.add_argument("--model_dir", type=str, default="model_assets/")
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parser.add_argument("--device", type=str, default="cuda")
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parser.add_argument("--port", type=int, default=8000)
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parser.add_argument("--inbrowser", action="store_true")
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parser.add_argument("--line_length", type=int, default=None)
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parser.add_argument("--line_count", type=int, default=None)
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parser.add_argument(
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"--dir", "-d", type=str, help="Model directory", default=assets_root
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)
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args = parser.parse_args()
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device = args.device
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if device == "cuda" and not torch.cuda.is_available():
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device = "cpu"
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model_dir = Path(args.model_dir)
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port = int(args.port)
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model_holder = ModelHolder(model_dir, device)
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if len(model_holder.model_names) == 0:
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logger.error(f"Models not found in {model_dir}.")
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sys.exit(1)
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app = FastAPI()
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app.add_middleware(
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CORSMiddleware,
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allow_origins=origins,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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router = APIRouter()
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@router.get("/version")
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def version() -> str:
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return VERSION
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class MoraTone(BaseModel):
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mora: str
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tone: int
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class TextRequest(BaseModel):
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text: str
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@router.post("/g2p")
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async def read_item(item: TextRequest):
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try:
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# 最初に正規化しないと整合性がとれない
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text = normalize_text(item.text)
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kata_tone_list = g2kata_tone(text, tokenizer)
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except Exception as e:
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raise HTTPException(
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status_code=400,
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detail=f"Failed to convert {item.text} to katakana and tone, {e}",
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)
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return [MoraTone(mora=kata, tone=tone) for kata, tone in kata_tone_list]
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@router.post("/normalize")
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async def normalize(item: TextRequest):
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return normalize_text(item.text)
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@router.get("/models_info")
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def models_info():
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return model_holder.models_info()
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class SynthesisRequest(BaseModel):
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model: str
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modelFile: str
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text: str
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moraToneList: list[MoraTone]
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style: str = DEFAULT_STYLE
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styleWeight: float = DEFAULT_STYLE_WEIGHT
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assistText: str = ""
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assistTextWeight: float = DEFAULT_ASSIST_TEXT_WEIGHT
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speed: float = 1.0
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noise: float = DEFAULT_NOISE
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noisew: float = DEFAULT_NOISEW
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sdpRatio: float = DEFAULT_SDP_RATIO
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language: Languages = Languages.JP
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silenceAfter: float = 0.5
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pitchScale: float = 1.0
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intonationScale: float = 1.0
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@router.post("/synthesis", response_class=AudioResponse)
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def synthesis(request: SynthesisRequest):
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if args.line_length is not None and len(request.text) > args.line_length:
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raise HTTPException(
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status_code=400,
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detail=f"1行の文字数は{args.line_length}文字以下にしてください。",
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)
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try:
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model = model_holder.load_model(
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model_name=request.model, model_path_str=request.modelFile
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)
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except Exception as e:
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logger.error(e)
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raise HTTPException(
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status_code=500,
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detail=f"Failed to load model {request.model} from {request.modelFile}, {e}",
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)
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text = request.text
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kata_tone_list = [
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(mora_tone.mora, mora_tone.tone) for mora_tone in request.moraToneList
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]
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phone_tone = kata_tone2phone_tone(kata_tone_list)
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tone = [t for _, t in phone_tone]
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sr, audio = model.infer(
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text=text,
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language=request.language.value,
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sdp_ratio=request.sdpRatio,
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noise=request.noise,
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noisew=request.noisew,
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length=1 / request.speed,
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given_tone=tone,
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style=request.style,
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style_weight=request.styleWeight,
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assist_text=request.assistText,
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assist_text_weight=request.assistTextWeight,
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use_assist_text=bool(request.assistText),
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line_split=False,
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pitch_scale=request.pitchScale,
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intonation_scale=request.intonationScale,
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)
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with BytesIO() as wavContent:
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wavfile.write(wavContent, sr, audio)
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return Response(content=wavContent.getvalue(), media_type="audio/wav")
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class MultiSynthesisRequest(BaseModel):
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lines: list[SynthesisRequest]
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@router.post("/multi_synthesis", response_class=AudioResponse)
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def multi_synthesis(request: MultiSynthesisRequest):
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lines = request.lines
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if args.line_count is not None and len(lines) > args.line_count:
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raise HTTPException(
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status_code=400,
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detail=f"行数は{args.line_count}行以下にしてください。",
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)
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audios = []
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sr = None
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for i, req in enumerate(lines):
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if args.line_length is not None and len(req.text) > args.line_length:
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raise HTTPException(
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status_code=400,
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detail=f"1行の文字数は{args.line_length}文字以下にしてください。",
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)
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try:
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model = model_holder.load_model(
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model_name=req.model, model_path_str=req.modelFile
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)
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except Exception as e:
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logger.error(e)
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raise HTTPException(
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status_code=500,
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detail=f"Failed to load model {req.model} from {req.modelFile}, {e}",
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)
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text = req.text
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kata_tone_list = [
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(mora_tone.mora, mora_tone.tone) for mora_tone in req.moraToneList
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]
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phone_tone = kata_tone2phone_tone(kata_tone_list)
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tone = [t for _, t in phone_tone]
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sr, audio = model.infer(
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text=text,
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language=req.language.value,
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sdp_ratio=req.sdpRatio,
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noise=req.noise,
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noisew=req.noisew,
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length=1 / req.speed,
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given_tone=tone,
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style=req.style,
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style_weight=req.styleWeight,
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assist_text=req.assistText,
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assist_text_weight=req.assistTextWeight,
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use_assist_text=bool(req.assistText),
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line_split=False,
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pitch_scale=req.pitchScale,
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intonation_scale=req.intonationScale,
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)
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audios.append(audio)
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if i < len(lines) - 1:
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silence = int(sr * req.silenceAfter)
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audios.append(np.zeros(silence, dtype=np.int16))
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audio = np.concatenate(audios)
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with BytesIO() as wavContent:
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wavfile.write(wavContent, sr, audio)
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return Response(content=wavContent.getvalue(), media_type="audio/wav")
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class UserDictWordRequest(BaseModel):
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surface: str
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pronunciation: str
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accent_type: int # アクセント核位置（存在しない場合は0、1文字目は1）
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priority: int = 5
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@router.get("/user_dict")
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def get_user_dict():
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return read_dict()
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@router.post("/user_dict_word")
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def add_user_dict_word(request: UserDictWordRequest):
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uuid = apply_word(
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surface=request.surface,
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pronunciation=request.pronunciation,
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accent_type=request.accent_type,
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priority=request.priority,
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)
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update_dict()
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return JSONResponse(
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status_code=status.HTTP_201_CREATED,
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content={"uuid": uuid},
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)
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@router.put("/user_dict_word/{uuid}")
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def update_user_dict_word(uuid: str, request: UserDictWordRequest):
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rewrite_word(
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word_uuid=uuid,
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surface=request.surface,
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pronunciation=request.pronunciation,
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accent_type=request.accent_type,
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priority=request.priority,
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)
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update_dict()
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return JSONResponse(status_code=status.HTTP_200_OK, content={"uuid": uuid})
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@router.delete("/user_dict_word/{uuid}")
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def delete_user_dict_word(uuid: str):
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delete_word(uuid)
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update_dict()
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return JSONResponse(status_code=status.HTTP_200_OK, content={"uuid": uuid})
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app.include_router(router, prefix="/api")
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if __name__ == "__main__":
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download_static_files("litagin02", "Style-Bert-VITS2-Editor", "out.zip")
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app.mount("/", StaticFiles(directory=STATIC_DIR, html=True), name="static")
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if args.inbrowser:
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webbrowser.open(f"http://localhost:{port}")
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uvicorn.run(app, host="0.0.0.0", port=port)
|