Show a progress bar during MP3 generation, update styles, and improve MMS error messaging.
138 lines
4.1 KiB
Python
138 lines
4.1 KiB
Python
import os
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import subprocess
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import tempfile
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from pathlib import Path
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from typing import Optional, Tuple
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import pyttsx3
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_MMS_CACHE: Optional[Tuple[object, object]] = None
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def _get_mms():
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global _MMS_CACHE
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if _MMS_CACHE is not None:
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return _MMS_CACHE
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try:
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from transformers import VitsModel, AutoTokenizer
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import torch
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except Exception as exc:
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raise RuntimeError("MMS TTS 사용을 위해 transformers/torch 설치가 필요합니다.") from exc
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model_name = os.getenv("MMS_MODEL", "facebook/mms-tts-kor")
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = VitsModel.from_pretrained(model_name)
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model.eval()
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_MMS_CACHE = (model, tokenizer)
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return _MMS_CACHE
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def _text_to_wav_mms(text: str, wav_path: str) -> None:
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try:
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import torch
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except Exception as exc:
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raise RuntimeError("MMS TTS 사용을 위해 torch/numpy가 정상 설치되어야 합니다.") from exc
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try:
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import soundfile as sf
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except Exception as exc:
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raise RuntimeError("MMS TTS 사용을 위해 soundfile 설치가 필요합니다.") from exc
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model, tokenizer = _get_mms()
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inputs = tokenizer(text, return_tensors="pt")
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with torch.no_grad():
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audio = model(**inputs).waveform.squeeze().cpu().numpy()
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sample_rate = getattr(model.config, "sampling_rate", 22050)
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sf.write(wav_path, audio, sample_rate)
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def _select_korean_voice(engine: pyttsx3.Engine) -> None:
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try:
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voices = engine.getProperty("voices") or []
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except Exception:
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return
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for voice in voices:
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lang_values = []
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if getattr(voice, "languages", None):
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lang_values.extend(voice.languages)
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if getattr(voice, "id", None):
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lang_values.append(voice.id)
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if getattr(voice, "name", None):
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lang_values.append(voice.name)
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joined = " ".join(str(v) for v in lang_values).lower()
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if "ko" in joined or "korean" in joined:
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try:
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engine.setProperty("voice", voice.id)
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return
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except Exception:
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continue
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def text_to_mp3(text: str, mp3_path: str) -> None:
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if not text:
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raise RuntimeError("텍스트가 비어 있습니다.")
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mp3_target = Path(mp3_path)
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mp3_target.parent.mkdir(parents=True, exist_ok=True)
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tts_engine = os.getenv("TTS_ENGINE", "pyttsx3").strip().lower()
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wav_fd, wav_path = tempfile.mkstemp(suffix=".wav")
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os.close(wav_fd)
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try:
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if tts_engine == "mms":
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_text_to_wav_mms(text, wav_path)
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audio_filter = "loudnorm=I=-16:LRA=11:TP=-1.5"
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else:
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engine = pyttsx3.init()
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# 음질 개선: 속도/볼륨 조정 및 한국어 음성 우선 선택
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try:
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# 서버 음성이 늘어지는 현상 완화
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engine.setProperty("rate", 210)
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engine.setProperty("volume", 1.0)
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except Exception:
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pass
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_select_korean_voice(engine)
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# pyttsx3로 wav 생성 후 ffmpeg로 mp3 변환
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engine.save_to_file(text, wav_path)
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engine.runAndWait()
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audio_filter = "loudnorm=I=-16:LRA=11:TP=-1.5,atempo=1.15"
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subprocess.run(
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[
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"ffmpeg",
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"-y",
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"-i",
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wav_path,
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"-ac",
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"2",
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"-ar",
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"44100",
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"-b:a",
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"192k",
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"-af",
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audio_filter,
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str(mp3_target),
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],
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check=True,
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stdout=subprocess.DEVNULL,
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stderr=subprocess.DEVNULL,
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)
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if not mp3_target.exists():
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raise RuntimeError("mp3 파일 생성에 실패했습니다.")
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except subprocess.CalledProcessError as exc:
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raise RuntimeError("ffmpeg 변환에 실패했습니다.") from exc
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except OSError as exc:
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raise RuntimeError("파일 생성 권한 또는 경로 오류입니다.") from exc
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finally:
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try:
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os.remove(wav_path)
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except OSError:
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pass
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