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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)
- logging.info('save response to {}'.format(args.tts_wav))
- tts_speech = torch.from_numpy(np.array(np.frombuffer(response.tts_audio, dtype=np.int16))).unsqueeze(dim=0)
- 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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