Jaikinator
58 lines
2.6 KiB
Python
58 lines
2.6 KiB
Python
|
|
from pyannote.audio import Pipeline
|
|
from whisper import Whisper, load_model
|
|
import os
|
|
import glob
|
|
from warnings import warn
|
|
import yaml
|
|
|
|
WHISPER_DEFAULT_PATH = os.path.relpath(os.path.join(os.path.dirname(__file__),
|
|
"models", "whisper"))
|
|
|
|
PYANNOTE_DEFAULT_PATH = os.path.relpath(os.path.join(os.path.dirname(__file__),
|
|
"models", "pyannote",
|
|
"speaker_diarization", "config.yaml"))
|
|
|
|
|
|
def config_diarization_yaml(file, path_to_segmentation = None, path_to_embedding = None):
|
|
"""
|
|
Configure diarization pipeline from yaml file to use the model offline
|
|
and avoid manuel file manipulation.
|
|
|
|
:param file: yaml file
|
|
:type file: yaml
|
|
"""
|
|
with open(file, "r") as stream:
|
|
yml = yaml.safe_load(stream)
|
|
stream.close()
|
|
if path_to_segmentation:
|
|
yml["pipeline"]["params"]["segmentation"] = path_to_segmentation
|
|
else:
|
|
yml["pipeline"]["params"]["segmentation"] = os.path.relpath(os.path.join(
|
|
os.path.dirname(__file__),
|
|
"models", "pyannote",
|
|
"segmentation",
|
|
"pytorch_model.bin"))
|
|
|
|
if path_to_embedding:
|
|
yml["pipeline"]["params"]["embedding"] = path_to_embedding
|
|
else:
|
|
yml["pipeline"]["params"]["embedding"] = os.path.relpath(
|
|
os.path.join(
|
|
os.path.dirname(__file__),
|
|
"models", "pyannote",
|
|
"speechbrain",
|
|
"spkrec-ecapa-voxceleb",
|
|
"embedding_model.ckpt"))
|
|
|
|
if not os.path.exists(yml["pipeline"]["params"]["segmentation"]):
|
|
raise FileNotFoundError(f"Segmentation model not found at {yml['pipeline']['params']['segmentation']}")
|
|
|
|
if not os.path.exists(yml["pipeline"]["params"]["embedding"]):
|
|
raise FileNotFoundError(f"Embedding model not found at {yml['pipeline']['params']['embedding']}")
|
|
|
|
with open(file, "w") as stream:
|
|
yaml.dump(yml, stream)
|
|
stream.close()
|
|
|