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Zero
Running
on
Zero
File size: 4,748 Bytes
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# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
import sys
ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
sys.path.append('{}/../../..'.format(ROOT_DIR))
sys.path.append('{}/../../../third_party/Matcha-TTS'.format(ROOT_DIR))
import logging
import argparse
import torchaudio
import cosyvoice_pb2
import cosyvoice_pb2_grpc
import grpc
import torch
import numpy as np
from cosyvoice.utils.file_utils import load_wav
def main():
with grpc.insecure_channel("{}:{}".format(args.host, args.port)) as channel:
stub = cosyvoice_pb2_grpc.CosyVoiceStub(channel)
request = cosyvoice_pb2.Request()
if args.mode == 'sft':
logging.info('send sft request')
sft_request = cosyvoice_pb2.sftRequest()
sft_request.spk_id = args.spk_id
sft_request.tts_text = args.tts_text
request.sft_request.CopyFrom(sft_request)
elif args.mode == 'zero_shot':
logging.info('send zero_shot request')
zero_shot_request = cosyvoice_pb2.zeroshotRequest()
zero_shot_request.tts_text = args.tts_text
zero_shot_request.prompt_text = args.prompt_text
prompt_speech = load_wav(args.prompt_wav, 16000)
zero_shot_request.prompt_audio = (prompt_speech.numpy() * (2**15)).astype(np.int16).tobytes()
request.zero_shot_request.CopyFrom(zero_shot_request)
elif args.mode == 'cross_lingual':
logging.info('send cross_lingual request')
cross_lingual_request = cosyvoice_pb2.crosslingualRequest()
cross_lingual_request.tts_text = args.tts_text
prompt_speech = load_wav(args.prompt_wav, 16000)
cross_lingual_request.prompt_audio = (prompt_speech.numpy() * (2**15)).astype(np.int16).tobytes()
request.cross_lingual_request.CopyFrom(cross_lingual_request)
else:
logging.info('send instruct request')
instruct_request = cosyvoice_pb2.instructRequest()
instruct_request.tts_text = args.tts_text
instruct_request.spk_id = args.spk_id
instruct_request.instruct_text = args.instruct_text
request.instruct_request.CopyFrom(instruct_request)
response = stub.Inference(request)
tts_audio = b''
for r in response:
tts_audio += r.tts_audio
tts_speech = torch.from_numpy(np.array(np.frombuffer(tts_audio, dtype=np.int16))).unsqueeze(dim=0)
logging.info('save response to {}'.format(args.tts_wav))
torchaudio.save(args.tts_wav, tts_speech, target_sr)
logging.info('get response')
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument('--host',
type=str,
default='0.0.0.0')
parser.add_argument('--port',
type=int,
default='50000')
parser.add_argument('--mode',
default='sft',
choices=['sft', 'zero_shot', 'cross_lingual', 'instruct'],
help='request mode')
parser.add_argument('--tts_text',
type=str,
default='你好，我是通义千问语音合成大模型，请问有什么可以帮您的吗？')
parser.add_argument('--spk_id',
type=str,
default='中文女')
parser.add_argument('--prompt_text',
type=str,
default='希望你以后能够做的比我还好呦。')
parser.add_argument('--prompt_wav',
type=str,
default='../../../zero_shot_prompt.wav')
parser.add_argument('--instruct_text',
type=str,
default='Theo \'Crimson\', is a fiery, passionate rebel leader. \
Fights with fervor for justice, but struggles with impulsiveness.')
parser.add_argument('--tts_wav',
type=str,
default='demo.wav')
args = parser.parse_args()
prompt_sr, target_sr = 16000, 22050
main()
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