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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() | |