Marko Henning
63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
import os
|
|
import yaml
|
|
from pyannote.audio.core.model import CACHE_DIR as PYANNOTE_CACHE_DIR
|
|
from argparse import Action
|
|
|
|
CACHE_DIR = os.getenv(
|
|
"AUTOT_CACHE",
|
|
os.path.expanduser("~/.cache/torch/models"),
|
|
)
|
|
|
|
if CACHE_DIR != PYANNOTE_CACHE_DIR:
|
|
os.environ["PYANNOTE_CACHE"] = os.path.join(CACHE_DIR, "pyannote")
|
|
|
|
WHISPER_DEFAULT_PATH = os.path.join(CACHE_DIR, "whisper")
|
|
PYANNOTE_DEFAULT_PATH = os.path.join(CACHE_DIR, "pyannote")
|
|
PYANNOTE_DEFAULT_CONFIG = os.path.join(PYANNOTE_DEFAULT_PATH, "config.yaml") \
|
|
if os.path.exists(os.path.join(PYANNOTE_DEFAULT_PATH, "config.yaml")) \
|
|
else ('jaikinator/scraibe', 'pyannote/speaker-diarization-3.1')
|
|
|
|
|
|
def config_diarization_yaml(file_path: str, path_to_segmentation: str = None) -> None:
|
|
"""Configure diarization pipeline from a YAML file.
|
|
|
|
This function updates the YAML file to use the given segmentation model
|
|
offline, and avoids manual file manipulation.
|
|
|
|
Args:
|
|
file_path (str): Path to the YAML file.
|
|
path_to_segmentation (str, optional): Optional path to the segmentation model.
|
|
|
|
Raises:
|
|
FileNotFoundError: If the segmentation model file is not found.
|
|
"""
|
|
with open(file_path, "r") as stream:
|
|
yml = yaml.safe_load(stream)
|
|
|
|
segmentation_path = path_to_segmentation or os.path.join(
|
|
PYANNOTE_DEFAULT_PATH, "pytorch_model.bin")
|
|
yml["pipeline"]["params"]["segmentation"] = segmentation_path
|
|
|
|
if not os.path.exists(segmentation_path):
|
|
raise FileNotFoundError(
|
|
f"Segmentation model not found at {segmentation_path}")
|
|
|
|
with open(file_path, "w") as stream:
|
|
yaml.dump(yml, stream)
|
|
|
|
|
|
class ParseKwargs(Action):
|
|
"""
|
|
Custom argparse action to parse keyword arguments.
|
|
"""
|
|
|
|
def __call__(self, parser, namespace, values, option_string=None):
|
|
setattr(namespace, self.dest, dict())
|
|
for value in values:
|
|
key, value = value.split('=')
|
|
try:
|
|
value = ast.literal_eval(value)
|
|
except:
|
|
pass
|
|
getattr(namespace, self.dest)[key] = value
|