2024-10-26 11:34:55 +08:00
|
|
|
import requests
|
|
|
|
|
import time
|
|
|
|
|
from utils import util
|
|
|
|
|
import wave
|
|
|
|
|
class Speech:
|
|
|
|
|
|
|
|
|
|
def __init__(self):
|
|
|
|
|
pass
|
|
|
|
|
|
|
|
|
|
def connect(self):
|
|
|
|
|
pass
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
def close(self):
|
|
|
|
|
pass
|
|
|
|
|
|
|
|
|
|
def to_sample(self, text, style) :
|
2024-12-11 15:29:38 +08:00
|
|
|
url = "http://127.0.0.1:9880/tts"
|
2024-10-26 11:34:55 +08:00
|
|
|
data = {
|
|
|
|
|
"text": text, # str.(required) text to be synthesized
|
|
|
|
|
"text_lang": "zh", # str.(required) language of the text to be synthesized
|
|
|
|
|
"ref_audio_path": "I:/GPT-SoVITS-beta0706/111.wav", # str.(required) reference audio path.
|
|
|
|
|
"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
|
|
|
|
|
"prompt_lang": "zh", # str.(required) language of the prompt text for the reference audio
|
|
|
|
|
"top_k": 5, # int.(optional) top k sampling
|
|
|
|
|
"top_p": 1, # float.(optional) top p sampling
|
|
|
|
|
"temperature": 1, # float.(optional) temperature for sampling
|
|
|
|
|
"text_split_method": "cut5", # str.(optional) text split method, see text_segmentation_method.py for details.
|
|
|
|
|
"batch_size": 1, # int.(optional) batch size for inference
|
|
|
|
|
"batch_threshold": 0.75, # float.(optional) threshold for batch splitting.
|
|
|
|
|
"split_bucket": True, # bool.(optional) whether to split the batch into multiple buckets.
|
|
|
|
|
"speed_factor":1.0, # float.(optional) control the speed of the synthesized audio.
|
|
|
|
|
"fragment_interval":0.3, # float.(optional) to control the interval of the audio fragment.
|
|
|
|
|
"seed": -1, # int.(optional) random seed for reproducibility.
|
|
|
|
|
"media_type": "wav", # str.(optional) media type of the output audio, support "wav", "raw", "ogg", "aac".
|
|
|
|
|
"streaming_mode": False, # bool.(optional) whether to return a streaming response.
|
|
|
|
|
"parallel_infer": True, # bool.(optional) whether to use parallel inference.
|
|
|
|
|
"repetition_penalty": 1.35 # float.(optional) repetition penalty for T2S model.
|
|
|
|
|
}
|
|
|
|
|
try:
|
|
|
|
|
response = requests.post(url, json=data)
|
|
|
|
|
file_url = './samples/sample-' + str(int(time.time() * 1000)) + '.wav'
|
|
|
|
|
if response.status_code == 200:
|
|
|
|
|
with wave.open(file_url, 'wb') as wf:
|
|
|
|
|
wf.setnchannels(1)
|
|
|
|
|
wf.setsampwidth(2)
|
|
|
|
|
wf.setframerate(32000)
|
|
|
|
|
wf.writeframes(response.content)
|
|
|
|
|
return file_url
|
|
|
|
|
|
|
|
|
|
else:
|
|
|
|
|
util.log(1, "[x] 语音转换失败！")
|
|
|
|
|
util.log(1, "[x] 原因: " + str(response.text))
|
|
|
|
|
return None
|
|
|
|
|
|
|
|
|
|
except Exception as e :
|
|
|
|
|
util.log(1, "[x] 语音转换失败！")
|
|
|
|
|
util.log(1, "[x] 原因: " + str(str(e)))
|
|
|
|
|
file_url = None
|
|
|
|
|
return file_url
|
