93 lines
3.7 KiB
Python
93 lines
3.7 KiB
Python
# Copyright (c) 2024 Alibaba Inc (authors: Xiang Lyu)
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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import logging
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import requests
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import torch
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import torchaudio
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import numpy as np
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def main():
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url = "http://{}:{}/inference_{}".format(args.host, args.port, args.mode)
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if args.mode == 'sft':
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payload = {
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'tts_text': args.tts_text,
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'spk_id': args.spk_id
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}
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response = requests.request("GET", url, data=payload, stream=True)
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elif args.mode == 'zero_shot':
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payload = {
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'tts_text': args.tts_text,
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'prompt_text': args.prompt_text
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}
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files = [('prompt_wav', ('prompt_wav', open(args.prompt_wav, 'rb'), 'application/octet-stream'))]
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response = requests.request("GET", url, data=payload, files=files, stream=True)
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elif args.mode == 'cross_lingual':
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payload = {
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'tts_text': args.tts_text,
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}
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files = [('prompt_wav', ('prompt_wav', open(args.prompt_wav, 'rb'), 'application/octet-stream'))]
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response = requests.request("GET", url, data=payload, files=files, stream=True)
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else:
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payload = {
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'tts_text': args.tts_text,
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'spk_id': args.spk_id,
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'instruct_text': args.instruct_text
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}
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response = requests.request("GET", url, data=payload, stream=True)
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tts_audio = b''
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for r in response.iter_content(chunk_size=16000):
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tts_audio += r
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tts_speech = torch.from_numpy(np.array(np.frombuffer(tts_audio, dtype=np.int16))).unsqueeze(dim=0)
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logging.info('save response to {}'.format(args.tts_wav))
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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. \
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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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