64 lines
1.8 KiB
Python
64 lines
1.8 KiB
Python
import nls
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import pyaudio
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import time
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from tests.test_utils import TEST_ACCESS_TOKEN, TEST_ACCESS_APPKEY
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test_text = [
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"流式文本语音合成SDK，",
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"可以将输入的文本",
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"合成为语音二进制数据，",
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"相比于非流式语音合成，",
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"流式合成的优势在于实时性",
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"更强。用户在输入文本的同时",
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"可以听到接近同步的语音输出，",
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"极大地提升了交互体验，",
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"减少了用户等待时间。",
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"适用于调用大规模",
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"语言模型（LLM），以",
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"流式输入文本的方式",
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"进行语音合成的场景。",
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]
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if __name__ == "__main__":
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player = pyaudio.PyAudio()
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stream = player.open(format=pyaudio.paInt16, channels=1, rate=24000, output=True)
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# 创建SDK实例
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# 配置回调函数
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def test_on_data(data, *args):
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stream.write(data)
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def test_on_message(message, *args):
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print('on message=>{}'.format(message))
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def test_on_close(*args):
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print('on_close: args=>{}'.format(args))
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def test_on_error(message, *args):
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print('on_error args=>{}, message=>{}'.format(args, message))
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sdk = nls.NlsStreamInputTtsSynthesizer(
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token=TEST_ACCESS_TOKEN,
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appkey=TEST_ACCESS_APPKEY,
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on_data=test_on_data,
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on_sentence_begin=test_on_message,
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on_sentence_synthesis=test_on_message,
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on_sentence_end=test_on_message,
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on_completed=test_on_message,
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on_error=test_on_error,
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on_close=test_on_close,
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callback_args=[],
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)
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# 发送文本消息
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sdk.startStreamInputTts()
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for text in test_text:
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sdk.sendStreamInputTts(text)
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time.sleep(0.05)
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sdk.stopStreamInputTts()
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stream.stop_stream()
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stream.close()
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player.terminate()
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