#5673 This model is currently experiencing high demand. Spikes in demand are usually temporary. Please try again later.Traceba

171.224* Posted at: 2 hours ago

This model is currently experiencing high demand. Spikes in demand are usually temporary. Please try again later.
Traceback (most recent call last):
File "videotrans\translator\_base.py", line 68, in run
File "videotrans\translator\_base.py", line 142, 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 67, in run
File "videotrans\task\trans_create.py", line 608, in trans
File "videotrans\translator\__init__.py", line 860, in run
File "videotrans\translator\_base.py", line 71, in run
File "tenacity\__init__.py", line 480, in call
File "videotrans\translator\_gemini.py", line 112, in _item_task
videotrans.configure.excepts.TranslateSrtError: This model is currently experiencing high demand. Spikes in demand are usually temporary. Please try again later.

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: D:/39383663537-1-192.mp4,
输出结果保存到文件夹: D:/pyVideoTrans/39383663537-1-192-mp4,
临时文件夹: D:/pyVideoTrans/tmp/16108/7952e1763d
已选 清理已存在
已选 启用CUDA加速
未选 降噪
ASR Channel:faster-whisper(LocalBuilt-in), model_name: large-v3-turbo, 发音语言: Simplified Chinese, 断句方式:默认断句
Trans Channel:Gemini AI,原始语言:Simplified Chinese,目标语言:Vietnamese, 已选 Send SRT
Dubb Channel:Edge-TTS(Free), 角色:HoaiMy(Female/VN), 配音语言:Vietnamese, 未选 二次语音识别
音量:+0%, 语速:+0%, 已选 音频加速, 未选 视频慢速
字幕: Embed Hard Subs
代理地址:

=
system:Windows-10-10.0.26200-SP0
version:v4.03
frozen:True
language:en
root_dir:D:/pyVideoTrans

1 Replies

Floor #1 DeepSeek reply at 2 hours ago

The error "This model is currently experiencing high demand" is a server-side rate limit or capacity issue from Google's Gemini API. The software's built-in retry mechanism (tenacity) already attempted multiple retries but exhausted them. This indicates the chosen Gemini model is temporarily overloaded.

Solutions

  1. Increase pause between translation batches

    • Go to Menu → Tools/Options → Advanced Options → Subtitle Translation Adjustments
    • Set "Translation pause seconds" to 5–10 seconds. This reduces request frequency, mitigating rate limits.

  2. Reduce batch size for AI translation

    • In the same Advanced Options section, lower "AI translation channel per-batch subtitle lines" to 20–30. Smaller batches reduce the load per request.

  3. Switch to a less busy Gemini model

    • In Menu → Translation Settings → Gemini, change the model from the default (e.g., gemini-3.5-flash) to a less congested one:

      • gemini-2.0-flash
      • gemini-pro-latest
      • gemini-2.5-flash (if available)
    • You can edit the model list directly; valid models are listed in constants (see FAQ section for Gemini models).

  4. Temporary workaround – use a different AI translation channel

    • If the issue persists, switch to DeepSeek, OpenAI ChatGPT, or 302.AI (configure API keys first).
    • These channels are less prone to temporary demand spikes.

  5. Wait and retry later

    • The error message itself indicates that demand spikes are usually temporary. Try running the task again after a few hours.

Notes

  • The error occurred during the translation phase (Gemini API). The ASR (faster-whisper) and other steps completed successfully.
  • Version v4.03 is affected; updating to the latest v4.04 may include improvements, but the core solution remains adjusting request patterns.

Relevant documentation

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