GPT-SoVITS-v2-jay / tools /my_utils.py
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import platform,os,traceback
import ffmpeg
import numpy as np
def load_audio(file, sr):
try:
# https://github.com/openai/whisper/blob/main/whisper/audio.py#L26
# This launches a subprocess to decode audio while down-mixing and resampling as necessary.
# Requires the ffmpeg CLI and `ffmpeg-python` package to be installed.
file = clean_path(file) # 防止小白拷路径头尾带了空格和"和回车
if os.path.exists(file) == False:
raise RuntimeError(
"You input a wrong audio path that does not exists, please fix it!"
)
out, _ = (
ffmpeg.input(file, threads=0)
.output("-", format="f32le", acodec="pcm_f32le", ac=1, ar=sr)
.run(cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True)
)
except Exception as e:
traceback.print_exc()
raise RuntimeError(f"Failed to load audio: {e}")
return np.frombuffer(out, np.float32).flatten()
def clean_path(path_str:str):
if path_str.endswith(('\\','/')):
return clean_path(path_str[0:-1])
path_str = path_str.replace('/', os.sep).replace('\\', os.sep)
return path_str.strip(" ").strip('\'').strip("\n").strip('"').strip(" ").strip("\u202a")