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Update voice.py

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Evariste Galois (Beijing) Technology Inc. 2025-05-09 15:07:29 +08:00 committed by GitHub
parent ffcfe8e03b
commit 005bb6d9ee
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1 changed files with 13 additions and 39 deletions
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app/services/voice.py
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@ -5,11 +5,10 @@ from datetime import datetime
from typing import Union
from xml.sax.saxutils import unescape
import edge_tts
from edge_tts import SubMaker, submaker
from edge_tts.submaker import mktimestamp
from loguru import logger
from moviepy.video.tools import subtitles
from edge_tts import SubMaker, submaker # Only for SubMaker/submaker utilities
from edge_tts.submaker import mktimestamp
from app.config import config
from app.utils import utils
@ -1048,9 +1047,16 @@ def is_azure_v2_voice(voice_name: str):
def tts(
text: str, voice_name: str, voice_rate: float, voice_file: str
) -> Union[SubMaker, None]:
if is_azure_v2_voice(voice_name):
return azure_tts_v2(text, voice_name, voice_file)
return azure_tts_v1(text, voice_name, voice_rate, voice_file)
"""
Unified TTS function using only Azure Cognitive Services (official supported API).
- Ignores voice_rate, since Azure SDK supports rate via SSML (can be extended if needed).
"""
# Ensure all voice names are routed through Azure official API.
v2_name = is_azure_v2_voice(voice_name)
if not v2_name:
# If not a V2 name, just strip "-Female" or "-Male" and use as-is
v2_name = parse_voice_name(voice_name)
return azure_tts_v2(text, v2_name, voice_file)
def convert_rate_to_percent(rate: float) -> str:
@ -1063,39 +1069,7 @@ def convert_rate_to_percent(rate: float) -> str:
return f"{percent}%"
def azure_tts_v1(
text: str, voice_name: str, voice_rate: float, voice_file: str
) -> Union[SubMaker, None]:
voice_name = parse_voice_name(voice_name)
text = text.strip()
rate_str = convert_rate_to_percent(voice_rate)
for i in range(3):
try:
logger.info(f"start, voice name: {voice_name}, try: {i + 1}")
async def _do() -> SubMaker:
communicate = edge_tts.Communicate(text, voice_name, rate=rate_str)
sub_maker = edge_tts.SubMaker()
with open(voice_file, "wb") as file:
async for chunk in communicate.stream():
if chunk["type"] == "audio":
file.write(chunk["data"])
elif chunk["type"] == "WordBoundary":
sub_maker.create_sub(
(chunk["offset"], chunk["duration"]), chunk["text"]
)
return sub_maker
sub_maker = asyncio.run(_do())
if not sub_maker or not sub_maker.subs:
logger.warning("failed, sub_maker is None or sub_maker.subs is None")
continue
logger.info(f"completed, output file: {voice_file}")
return sub_maker
except Exception as e:
logger.error(f"failed, error: {str(e)}")
return None
# Removed azure_tts_v1 and all edge_tts/Bing API usage. Now only Azure official SDK is used.
def azure_tts_v2(text: str, voice_name: str, voice_file: str) -> Union[SubMaker, None]: