👍️[Update] Model : モデルのダウンロード処理をスレッドで進行するように変更
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@@ -1,4 +1,3 @@
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import json
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from typing import Callable, Union
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from time import sleep
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from subprocess import Popen
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@@ -701,10 +700,15 @@ class DownloadCTranslate2ProgressBar:
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}
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})
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def startThreadingDownloadCtranslate2Weight(callback:Callable[[float], None]) -> None:
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th_download = Thread(target=model.downloadCTranslate2ModelWeight, args=(callback,))
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th_download.daemon = True
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th_download.start()
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def callbackDownloadCtranslate2Weight(data, action, *args, **kwargs) -> dict:
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printLog("Download CTranslate2 Weight")
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download = DownloadCTranslate2ProgressBar(action)
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model.downloadCTranslate2ModelWeight(download.set)
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startThreadingDownloadCtranslate2Weight(download.set)
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return {"status":200}
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def callbackSetDeeplAuthKey(data, *args, **kwargs) -> dict:
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@@ -1034,10 +1038,15 @@ class DownloadWhisperProgressBar:
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}
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})
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def startThreadingDownloadWhisperWeight(callback:Callable[[float], None]) -> None:
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th_download = Thread(target=model.downloadWhisperModelWeight, args=(callback,))
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th_download.daemon = True
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th_download.start()
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def callbackDownloadWhisperWeight(data, action, *args, **kwargs) -> dict:
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printLog("Download Whisper Weight")
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download = DownloadCTranslate2ProgressBar(action)
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model.downloadWhisperModelWeight(download.set)
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download = DownloadWhisperProgressBar(action)
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startThreadingDownloadWhisperWeight(download.set)
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return {"status":200}
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# VR Tab
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@@ -1283,8 +1292,7 @@ def init(endpoints:dict, *args, **kwargs) -> None:
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if config.USE_TRANSLATION_FEATURE is True and model.checkCTranslatorCTranslate2ModelWeight() is False:
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def callback(progress):
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printResponse(200, endpoints["ctranslate2"], {"progress":progress})
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printLog("Download CTranslate2 Model Weight")
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model.downloadCTranslate2ModelWeight(callback)
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startThreadingDownloadCtranslate2Weight(callback)
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# set Transcription Engine
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printLog("Set Transcription Engine")
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@@ -1298,7 +1306,7 @@ def init(endpoints:dict, *args, **kwargs) -> None:
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if config.USE_WHISPER_FEATURE is True and model.checkTranscriptionWhisperModelWeight() is False:
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def callback(progress):
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printResponse(200, endpoints["whisper"], {"progress":progress})
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model.downloadWhisperModelWeight(callback)
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startThreadingDownloadWhisperWeight(callback)
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# set word filter
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printLog("Set Word Filter")
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