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import os |
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import sys |
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ROOT_DIR = os.path.dirname(os.path.abspath(__file__)) |
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sys.path.append('{}/../..'.format(ROOT_DIR)) |
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sys.path.append('{}/../../third_party/AcademiCodec'.format(ROOT_DIR)) |
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sys.path.append('{}/../../third_party/Matcha-TTS'.format(ROOT_DIR)) |
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import logging |
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import argparse |
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import torchaudio |
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import cosyvoice_pb2 |
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import cosyvoice_pb2_grpc |
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import grpc |
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import torch |
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import numpy as np |
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from cosyvoice.utils.file_utils import load_wav |
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def main(): |
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with grpc.insecure_channel("{}:{}".format(args.host, args.port)) as channel: |
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stub = cosyvoice_pb2_grpc.CosyVoiceStub(channel) |
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request = cosyvoice_pb2.Request() |
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if args.mode == 'sft': |
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logging.info('send sft request') |
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sft_request = cosyvoice_pb2.sftRequest() |
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sft_request.spk_id = args.spk_id |
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sft_request.tts_text = args.tts_text |
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request.sft_request.CopyFrom(sft_request) |
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elif args.mode == 'zero_shot': |
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logging.info('send zero_shot request') |
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zero_shot_request = cosyvoice_pb2.zeroshotRequest() |
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zero_shot_request.tts_text = args.tts_text |
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zero_shot_request.prompt_text = args.prompt_text |
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prompt_speech = load_wav(args.prompt_wav, 16000) |
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zero_shot_request.prompt_audio = (prompt_speech.numpy() * (2**15)).astype(np.int16).tobytes() |
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request.zero_shot_request.CopyFrom(zero_shot_request) |
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elif args.mode == 'cross_lingual': |
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logging.info('send cross_lingual request') |
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cross_lingual_request = cosyvoice_pb2.crosslingualRequest() |
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cross_lingual_request.tts_text = args.tts_text |
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prompt_speech = load_wav(args.prompt_wav, 16000) |
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cross_lingual_request.prompt_audio = (prompt_speech.numpy() * (2**15)).astype(np.int16).tobytes() |
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request.cross_lingual_request.CopyFrom(cross_lingual_request) |
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else: |
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logging.info('send instruct request') |
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instruct_request = cosyvoice_pb2.instructRequest() |
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instruct_request.tts_text = args.tts_text |
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instruct_request.spk_id = args.spk_id |
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instruct_request.instruct_text = args.instruct_text |
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request.instruct_request.CopyFrom(instruct_request) |
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response = stub.Inference(request) |
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logging.info('save response to {}'.format(args.tts_wav)) |
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tts_speech = torch.from_numpy(np.array(np.frombuffer(response.tts_audio, dtype=np.int16))).unsqueeze(dim=0) |
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torchaudio.save(args.tts_wav, tts_speech, target_sr) |
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logging.info('get response') |
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if __name__ == "__main__": |
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parser = argparse.ArgumentParser() |
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parser.add_argument('--host', |
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type=str, |
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default='0.0.0.0') |
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parser.add_argument('--port', |
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type=int, |
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default='50000') |
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parser.add_argument('--mode', |
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default='sft', |
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choices=['sft', 'zero_shot', 'cross_lingual', 'instruct'], |
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help='request mode') |
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parser.add_argument('--tts_text', |
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type=str, |
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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?') |
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parser.add_argument('--spk_id', |
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type=str, |
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default='中文女') |
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parser.add_argument('--prompt_text', |
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type=str, |
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default='希望你以后能够做的比我还好呦。') |
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parser.add_argument('--prompt_wav', |
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type=str, |
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default='../../zero_shot_prompt.wav') |
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parser.add_argument('--instruct_text', |
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type=str, |
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default='Theo \'Crimson\', is a fiery, passionate rebel leader. Fights with fervor for justice, but struggles with impulsiveness.') |
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parser.add_argument('--tts_wav', |
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type=str, |
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default='demo.wav') |
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args = parser.parse_args() |
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prompt_sr, target_sr = 16000, 22050 |
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main() |
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