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https://github.com/BoardWare-Genius/jarvis-models.git
synced 2025-12-12 16:23:26 +00:00
add cosyvoicetts
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@ -52,6 +52,11 @@ def melotts_loader():
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from .melotts import MeloTTS
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return Injector().get(MeloTTS)
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@model_loader(lazy=blackboxConf.lazyloading)
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def cosyvoicetts_loader():
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from .cosyvoicetts import CosyVoiceTTS
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return Injector().get(CosyVoiceTTS)
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@model_loader(lazy=blackboxConf.lazyloading)
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def tts_loader():
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from .tts import TTS
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93
src/blackbox/cosyvoicetts.py
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93
src/blackbox/cosyvoicetts.py
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@ -0,0 +1,93 @@
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import io
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import time
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import requests
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from fastapi import Request, Response, status
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from fastapi.responses import JSONResponse
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from injector import inject
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from injector import singleton
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from ..log.logging_time import logging_time
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from ..configuration import CosyVoiceConf
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from .blackbox import Blackbox
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import soundfile
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import pyloudnorm as pyln
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import sys
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sys.path.append('/home/gpu/Workspace/CosyVoice')
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from cosyvoice.cli.cosyvoice import CosyVoice
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from cosyvoice.utils.file_utils import load_wav
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import torchaudio
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import os
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import logging
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logger = logging.getLogger(__name__)
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@singleton
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class CosyVoiceTTS(Blackbox):
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mode: str
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url: str
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speed: int
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device: str
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language: str
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speaker: str
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@logging_time(logger=logger)
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def model_init(self, cosyvoice_config: CosyVoiceConf) -> None:
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self.speed = cosyvoice_config.speed
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self.device = cosyvoice_config.device
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self.language = cosyvoice_config.language
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self.speaker = cosyvoice_config.speaker
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self.device = cosyvoice_config.device
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self.url = ''
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self.mode = cosyvoice_config.mode
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self.cosyvoicetts = None
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self.speaker_ids = None
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os.environ['CUDA_VISIBLE_DEVICES'] = str(cosyvoice_config.device)
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if self.mode == 'local':
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self.cosyvoicetts = CosyVoice('/home/gpu/Workspace/Models/CosyVoice/pretrained_models/CosyVoice-300M')
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else:
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self.url = cosyvoice_config.url
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logging.info('#### Initializing CosyVoiceTTS Service in cuda:' + str(cosyvoice_config.device) + ' mode...')
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@inject
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def __init__(self, cosyvoice_config: CosyVoiceConf) -> None:
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self.model_init(cosyvoice_config)
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def __call__(self, *args, **kwargs):
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return self.processing(*args, **kwargs)
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def valid(self, *args, **kwargs) -> bool:
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text = args[0]
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return isinstance(text, str)
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@logging_time(logger=logger)
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def processing(self, *args, **kwargs) -> io.BytesIO | bytes:
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text = args[0]
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current_time = time.time()
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if self.mode == 'local':
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audio = self.cosyvoicetts.inference_sft(text, self.language)
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f = io.BytesIO()
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soundfile.write(f, audio['tts_speech'].cpu().numpy().squeeze(0), 22050, format='wav')
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f.seek(0)
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print("#### CosyVoiceTTS Service consume - local : ", (time.time() - current_time))
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return f.read()
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else:
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message = {
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"text": text
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}
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response = requests.post(self.url, json=message)
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print("#### CosyVoiceTTS Service consume - docker : ", (time.time()-current_time))
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return response.content
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async def fast_api_handler(self, request: Request) -> Response:
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try:
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data = await request.json()
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except:
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return JSONResponse(content={"error": "json parse error"}, status_code=status.HTTP_400_BAD_REQUEST)
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text = data.get("text")
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if text is None:
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return JSONResponse(content={"error": "text is required"}, status_code=status.HTTP_400_BAD_REQUEST)
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return Response(content=self.processing(text), media_type="audio/wav", headers={"Content-Disposition": "attachment; filename=audio.wav"})
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@ -13,6 +13,7 @@ from ..configuration import MeloConf
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from .blackbox import Blackbox
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import soundfile
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import pyloudnorm as pyln
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from melo.api import TTS
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import logging
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@ -63,10 +64,31 @@ class MeloTTS(Blackbox):
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if self.mode == 'local':
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audio = self.melotts.tts_to_file(text, self.speaker_ids[self.speaker], speed=self.speed)
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f = io.BytesIO()
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soundfile.write(f, audio, 44100, format='wav')
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soundfile.write(f, audio, 44100, format='wav')
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f.seek(0)
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# print("#### MeloTTS Service consume - local : ", (time.time() - current_time))
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# return f.read()
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# Read the audio data from the buffer
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data, rate = soundfile.read(f, dtype='float32')
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# Peak normalization
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peak_normalized_audio = pyln.normalize.peak(data, -1.0)
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# Integrated loudness normalization
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meter = pyln.Meter(rate)
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loudness = meter.integrated_loudness(peak_normalized_audio)
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loudness_normalized_audio = pyln.normalize.loudness(peak_normalized_audio, loudness, -12.0)
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# Write the loudness normalized audio to an in-memory buffer
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normalized_audio_buffer = io.BytesIO()
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soundfile.write(normalized_audio_buffer, loudness_normalized_audio, rate, format='wav')
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normalized_audio_buffer.seek(0)
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print("#### MeloTTS Service consume - local : ", (time.time() - current_time))
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return f.read()
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return normalized_audio_buffer.read()
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else:
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message = {
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"text": text
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@ -65,6 +65,23 @@ class MeloConf():
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self.language = config.get("melotts.language")
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self.speaker = config.get("melotts.speaker")
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class CosyVoiceConf():
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mode: str
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url: str
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speed: int
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device: str
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language: str
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speaker: str
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@inject
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def __init__(self, config: Configuration) -> None:
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self.mode = config.get("cosyvoicetts.mode")
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self.url = config.get("cosyvoicetts.url")
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self.speed = config.get("cosyvoicetts.speed")
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self.device = config.get("cosyvoicetts.device")
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self.language = config.get("cosyvoicetts.language")
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self.speaker = config.get("cosyvoicetts.speaker")
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# 'CRITICAL': CRITICAL,
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# 'FATAL': FATAL,
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# 'ERROR': ERROR,
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@ -5,7 +5,7 @@ from transformers import BertTokenizer
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import numpy as np
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dirabspath = __file__.split("\\")[1:-1]
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dirabspath= "C://" + "/".join(dirabspath)
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dirabspath= "/home/gpu/Workspace/jarvis-models/src/sentiment_engine" + "/".join(dirabspath)
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default_path = dirabspath + "/models/paimon_sentiment.onnx"
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@ -19,7 +19,7 @@ import logging
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logging.basicConfig(level=logging.INFO)
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dirbaspath = __file__.split("\\")[1:-1]
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dirbaspath= "C://" + "/".join(dirbaspath)
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dirbaspath= "/home/gpu/Workspace/jarvis-models/src/tts" + "/".join(dirbaspath)
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config = {
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'paimon': {
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'cfg': dirbaspath + '/models/paimon6k.json',
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@ -93,3 +93,4 @@ components:
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- chroma_upsert
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- melotts
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- vlms
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- cosyvoicetts
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