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step1

可以选择指定模型，对于多情感的模型，还可以通过标签实现语气情感

from modelscope.outputs import OutputKeys
from modelscope.pipelines import pipeline
from modelscope.utils.constant import Tasks

text = '<speak><emotion category="happy" intensity="2.0">德玛西亚万岁，恕瑞玛的皇帝又回来了</emotion></speak>'
# text = '<speak><emotion category="angry" intensity="1.0">安装成功后，即可使用对应领域模型进行推理，训练等操作。这里我们以NLP领域为例。安装后，可执行如下命令，运行中文分词任务，来验证安装是否正确</emotion></speak>'
model_id = 'damo/speech_sambert-hifigan_tts_zh-cn_16k'
sambert_hifigan_tts = pipeline(task=Tasks.text_to_speech, model=model_id)
output = sambert_hifigan_tts(input=text, voice='zhitian_emo')
wav = output[OutputKeys.OUTPUT_WAV]
with open('output_happy.wav', 'wb') as f:
    f.write(wav)