Merge branch 'init_download' into for_webui
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@@ -65,6 +65,10 @@ def splitList(lst:list, split_count:int, to_shuffle:bool=False):
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def encodeBase64(data:str) -> dict:
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return json.loads(base64.b64decode(data).decode('utf-8'))
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def removeLogFiles():
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with open('process.log', 'w', encoding="utf-8") as f:
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f.write("")
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def printLog(log:str, data:Any=None) -> None:
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response = {
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"status": 348,
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@@ -6,7 +6,7 @@ import re
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from device_manager import device_manager
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from config import config
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from model import model
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from utils import isUniqueStrings, printLog
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from utils import isUniqueStrings, removeLog, printLog
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import torch
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class Controller:
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@@ -1694,6 +1694,7 @@ class Controller:
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return {"status":200, "result":True}
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def init(self, *args, **kwargs) -> None:
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removeLog()
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printLog("Start Initialization")
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printLog("Start check DeepL API Key")
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@@ -1707,20 +1708,31 @@ class Controller:
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# download CTranslate2 Model Weight
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printLog("Download CTranslate2 Model Weight")
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weight_type = config.CTRANSLATE2_WEIGHT_TYPE
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th_download_ctranslate2 = None
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if model.checkTranslatorCTranslate2ModelWeight(weight_type) is False:
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self.downloadCtranslate2Weight(weight_type, False)
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th_download_ctranslate2 = Thread(target=self.downloadCtranslate2Weight, args=(weight_type, False))
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th_download_ctranslate2.daemon = True
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th_download_ctranslate2.start()
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# download Whisper Model Weight
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printLog("Download Whisper Model Weight")
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weight_type = config.WHISPER_WEIGHT_TYPE
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th_download_whisper = None
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if model.checkTranscriptionWhisperModelWeight(weight_type) is False:
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th_download_whisper = Thread(target=self.downloadWhisperWeight, args=(weight_type, False))
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th_download_whisper.daemon = True
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th_download_whisper.start()
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if isinstance(th_download_ctranslate2, Thread):
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th_download_ctranslate2.join()
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if isinstance(th_download_whisper, Thread):
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th_download_whisper.join()
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# set Translation Engine
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printLog("Set Translation Engine")
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self.updateDownloadedCTranslate2ModelWeight()
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self.updateTranslationEngineAndEngineList()
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# download Whisper Model Weight
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printLog("Download Whisper Model Weight")
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weight_type = config.WHISPER_WEIGHT_TYPE
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if model.checkTranscriptionWhisperModelWeight(weight_type) is False:
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self.downloadWhisperWeight(weight_type, False)
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# set Transcription Engine
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printLog("Set Transcription Engine")
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self.updateDownloadedWhisperModelWeight()
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