内容太长超出最大允许Token，请减小内容或增大max_token,或者降低每次发送字幕行数
Could not parse response content as the length limit was reached - CompletionUsage(completion_tokens=8192, prompt_tokens=1640, total_tokens=9832, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetails(audio_tokens=None, cached_tokens=0), prompt_cache_hit_tokens=0, prompt_cache_miss_tokens=1640)
Traceback (most recent call last):
File "videotrans\translator\_base.py", line 71, in run
File "videotrans\translator\_base.py", line 204, in _run_srt
File "tenacity\__init__.py", line 338, in wrapped_f
File "tenacity\__init__.py", line 477, in call
File "tenacity\__init__.py", line 378, in iter
File "tenacity\__init__.py", line 421, in exc_check
tenacity.RetryError: RetryError[]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "videotrans\task\only_one.py", line 83, in run
File "videotrans\task\_stage_translate.py", line 31, in trans
File "videotrans\translator\_runner.py", line 63, in run
File "videotrans\translator\_base.py", line 74, in run
File "tenacity\__init__.py", line 480, in call
File "videotrans\translator\_openaicompat.py", line 92, in _item_task
openai.LengthFinishReasonError: Could not parse response content as the length limit was reached - CompletionUsage(completion_tokens=8192, prompt_tokens=1640, total_tokens=9832, completion_tokens_details=None, prompt_tokens_details=PromptTokensDetails(audio_tokens=None, cached_tokens=0), prompt_cache_hit_tokens=0, prompt_cache_miss_tokens=1640)
cfg=[TaskCfgVTT]当前工作模式: 翻译视频或音频 单视频模式
原始输入文件名: F:/LosslessCutWork/test_1.mp4,
输出结果保存到文件夹: E:/EN_Video/test/test_1-mp4,
临时文件夹: D:/pytran/tmp/8616/d1d9b71997
已选 清理已存在
未启用CUDA加速
未选 降噪
语音识别:faster-whisper(内置), model_name: large-v3-turbo, 发音语言: 英语, 断句方式:默认断句
翻译渠道:硅基流动,原始语言:英语,目标语言:简体中文, 已选 发送完整字幕
配音渠道:Edge-TTS(免费), 角色:Yunyang(Male/CN), 配音语言:简体中文, 未选 二次语音识别
音量:+30%, 语速:+25%, 未选 音频加速, 已选 视频慢速
字幕: 嵌入硬字幕(双) 目标语言在上双字幕
代理地址:
=
system:Windows-10-10.0.26200-SP0
version:v4.08
frozen:True
language:zh
root_dir:D:/pytran