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| import ffmpeg | |
| import numpy as np | |
| import os | |
| 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 = ( | |
| file.strip(" ").strip('"').strip("\n").strip('"').strip(" ") | |
| ) # 防止小白拷路径头尾带了空格和"和回车 | |
| 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: | |
| raise RuntimeError(f"Failed to load audio: {e}") | |
| return np.frombuffer(out, np.float32).flatten() | |
| def add_stem_name(path, stemname): | |
| directory, filename_with_ext = os.path.split(path) | |
| filename, extension = os.path.splitext(filename_with_ext) | |
| # Concatenate the stem name with desired suffix and extension | |
| new_filename = f"{filename}{stemname}{extension}" | |
| # Construct the new path | |
| new_path = os.path.join(directory, new_filename) | |
| return new_path | |