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import sys
import threading
from typing import List, Union
import tqdm
from src.hooks.progressListener import ProgressListener
class ProgressListenerHandle:
def __init__(self, listener: ProgressListener):
self.listener = listener
def __enter__(self):
register_thread_local_progress_listener(self.listener)
def __exit__(self, exc_type, exc_val, exc_tb):
unregister_thread_local_progress_listener(self.listener)
if exc_type is None:
self.listener.on_finished()
class _CustomProgressBar(tqdm.tqdm):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self._current = self.n # Set the initial value
def update(self, n):
super().update(n)
# Because the progress bar might be disabled, we need to manually update the progress
self._current += n
# Inform listeners
listeners = _get_thread_local_listeners()
for listener in listeners:
listener.on_progress(self._current, self.total)
_thread_local = threading.local()
def _get_thread_local_listeners():
if not hasattr(_thread_local, 'listeners'):
_thread_local.listeners = []
return _thread_local.listeners
_hooked = False
def init_progress_hook():
global _hooked
if _hooked:
return
# Inject into tqdm.tqdm of Whisper, so we can see progress
import whisper.transcribe
transcribe_module = sys.modules['whisper.transcribe']
transcribe_module.tqdm.tqdm = _CustomProgressBar
_hooked = True
def register_thread_local_progress_listener(progress_listener: ProgressListener):
# This is a workaround for the fact that the progress bar is not exposed in the API
init_progress_hook()
listeners = _get_thread_local_listeners()
listeners.append(progress_listener)
def unregister_thread_local_progress_listener(progress_listener: ProgressListener):
listeners = _get_thread_local_listeners()
if progress_listener in listeners:
listeners.remove(progress_listener)
def create_progress_listener_handle(progress_listener: ProgressListener):
return ProgressListenerHandle(progress_listener)
# Example usage
if __name__ == '__main__':
class PrintingProgressListener:
def on_progress(self, current: Union[int, float], total: Union[int, float]):
print(f"Progress: {current}/{total}")
def on_finished(self):
print("Finished")
import whisper
model = whisper.load_model("medium")
with create_progress_listener_handle(PrintingProgressListener()) as listener:
# Set verbose to None to disable the progress bar, as we are using our own
result = model.transcribe("J:\\Dev\\OpenAI\\whisper\\tests\\Noriko\\out.mka", language="Japanese", fp16=False, verbose=None)
print(result)
print("Done") |