4cfad5ae0f
- 全新ui - 全面优化websocket逻辑，提高数字人和ui连接的稳定性及资源开销 - 全面优化唤醒逻辑，提供稳定的普通唤醒模式和前置词唤醒模式 - 优化拾音质量，支持多声道麦克风拾音 - 优化自动播放服务器的对接机制，提供稳定和兼容旧版ue工程的对接模式 - 数字人接口输出机器人表情，以适应新fay ui及单片机的数字人表情输出 - 使用更高级的音频时长计算方式，可以更精准控制音频播放完成后的逻辑 - 修复点击关闭按钮会导致程序退出的bug - 修复没有麦克风的设备开启麦克风会出错的问题 - 为服务器主机地址提供配置项，以方便服务器部署
60 lines
3.0 KiB
Python
60 lines
3.0 KiB
Python
import requests
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import time
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from utils import util
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import wave
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class Speech:
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def __init__(self):
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pass
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def connect(self):
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pass
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def close(self):
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pass
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def to_sample(self, text, style) :
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url = "http://127.0.0.1:9880/tts"
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data = {
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"text": text, # str.(required) text to be synthesized
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"text_lang": "zh", # str.(required) language of the text to be synthesized
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"ref_audio_path": "I:/GPT-SoVITS-beta0706/111.wav", # str.(required) reference audio path.
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"prompt_text": "抱歉，我现在太忙了，休息一会，请稍后再试。", # str.(optional) prompt text for the reference audio
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"prompt_lang": "zh", # str.(required) language of the prompt text for the reference audio
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"top_k": 5, # int.(optional) top k sampling
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"top_p": 1, # float.(optional) top p sampling
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"temperature": 1, # float.(optional) temperature for sampling
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"text_split_method": "cut5", # str.(optional) text split method, see text_segmentation_method.py for details.
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"batch_size": 1, # int.(optional) batch size for inference
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"batch_threshold": 0.75, # float.(optional) threshold for batch splitting.
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"split_bucket": True, # bool.(optional) whether to split the batch into multiple buckets.
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"speed_factor":1.0, # float.(optional) control the speed of the synthesized audio.
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"fragment_interval":0.3, # float.(optional) to control the interval of the audio fragment.
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"seed": -1, # int.(optional) random seed for reproducibility.
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"media_type": "wav", # str.(optional) media type of the output audio, support "wav", "raw", "ogg", "aac".
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"streaming_mode": False, # bool.(optional) whether to return a streaming response.
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"parallel_infer": True, # bool.(optional) whether to use parallel inference.
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"repetition_penalty": 1.35 # float.(optional) repetition penalty for T2S model.
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}
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try:
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response = requests.post(url, json=data)
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file_url = './samples/sample-' + str(int(time.time() * 1000)) + '.wav'
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if response.status_code == 200:
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with wave.open(file_url, 'wb') as wf:
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wf.setnchannels(1)
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wf.setsampwidth(2)
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wf.setframerate(32000)
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wf.writeframes(response.content)
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return file_url
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else:
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util.log(1, "[x] 语音转换失败！")
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util.log(1, "[x] 原因: " + str(response.text))
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return None
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except Exception as e :
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util.log(1, "[x] 语音转换失败！")
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util.log(1, "[x] 原因: " + str(str(e)))
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file_url = None
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return file_url |