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import logging
from threading import Thread
from typing import Optional
from faster_whisper import WhisperModel
model_path = "large-v3"
model = WhisperModel(model_path, device="cuda")
def inference():
segments, info = model.transcribe("benchmark.m4a", language="fr")
for segment in segments:
print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
def get_logger(name: Optional[str] = None) -> logging.Logger:
formatter = logging.Formatter("%(levelname)s: %(message)s")
logger = logging.getLogger(name)
logger.setLevel(logging.DEBUG)
handler = logging.StreamHandler()
handler.setFormatter(formatter)
logger.addHandler(handler)
return logger
class MyThread(Thread):
def __init__(self, func, params):
super(MyThread, self).__init__()
self.func = func
self.params = params
self.result = None
def run(self):
self.result = self.func(*self.params)
def get_result(self):
return self.result
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