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| | 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 |
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|
| | 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='../../../asset/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() |
| |
|