FAQ ❓

Word count

512 words

Reading time

4 minutes

Summary of common issues during installation and usage

Installation

Using gpu graphics card

Solution

nvidia-smi

Reference Configuration

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2024 NVIDIA Corporation
Built on Thu_Jun__6_02:18:23_PDT_2024
Cuda compilation tools, release 12.5, V12.5.82
Build cuda_12.5.r12.5/compiler.34385749_0
Sat Jul 12 14:42:54 2025
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 560.35.03            Driver Version: 560.35.03      CUDA Version: 12.6     |
|---------------------------------------+------------------------+----------------------+
| GPU  Name               Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
| Fan  Temp   Perf        Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
|                                       |                        |               MIG M. |
|=======================================+========================+======================|
|   0  Tesla T4                     Off |   00000000:00:04.0 Off |                    0 |
| N/A   39C    P8            9W /   70W |       1MiB /  15360MiB |      0%      Default |
|                                       |                        |                  N/A |
+---------------------------------------+------------------------+----------------------+
|   1  Tesla T4                     Off |   00000000:00:05.0 Off |                    0 |
| N/A   41C    P8            9W /   70W |       1MiB /  15360MiB |      0%      Default |
|                                       |                        |                  N/A |
+---------------------------------------+------------------------+----------------------+

Reference Version

pip install torch==2.6.0+cu124 torchvision==0.21.0+cu124 torchaudio==2.6.0+cu124 --extra-index-url https://download.pytorch.org/whl/cu124

Usage

Startup Error

Solution

Startup Ngrok Error

details Solution

PyngrokNgrokError:
The ngrok process errored on start: authentication failed:
Your account is limited to 1 simultaneous ngrok agent sessions.
You can run multiple simultaneous tunnels from a single agent session by defining the tunnels in your agent configuration file and starting them with the command `ngrok start --all`.
Read more about the agent configuration file: https://ngrok.com/docs/secure-tunnels/ngrok-agent/reference/config
You can view your current agent sessions in the dashboard:
https://dashboard.ngrok.com/agents ERR_NGROK_108.

If the above error occurs, go to the Ngrok Dashboard at https://dashboard.ngrok.com/agents, terminate the running agent, and retry run

Dubbing languages

Usage

10 languages are built in by default, and the browser's preferred language setting is used by default. Custom nodes can also be added.

webapp\data\settings.json

{
    "locales": [
        {
            "name": "中国",
            "locale": "zh-CN",
            "country": "China",
            "enable": true
        }
    ]
    // ...
}

Gemini Usage Error

Solution

Retrying 1 time(s), translation_json -> Your location is not supported by google-generativeai at the moment. Try to use ChatVertexAI LLM from langchain_google_vertexai., waiting 5.0 seconds before retrying.

• If you encounter Your location is not supported, try switching the proxy region.
• Recommend Proxy, see the 《JustMySocks》 section.

Model

Model Download Failure

Solution

An error occured while synchronizing the model Systran/faster-whisper-large-v3 from the Hugging Face Hub:
An error happened while trying to locate the files on the Hub and we cannot find the appropriate snapshot folder for the
specified revision on the local disk. Please check your internet connection and try again.
Trying to load the model directly from the local cache, if it exists.

Download models via domestic mirror

Speaker Invocation Error

Solution

2025-04-18 07:29:31.094 | INFO whisper_.py:102 - Loading Speaker model on device cuda
2025-04-18 07:29:31.865 | ERROR whisper_.py:106 - Error: 401 Client Error: Unauthorized for url: https://hf-mirror.com/pyannote/speaker-diarization-3.1/resolve/main/config.yaml (Request ID: Root=1-6801ff5b-0270fbd846adbc761e229ace;fddee4c5-7f49-4739-bba3-42cbc47dca6e)

1. Go to and accept the user agreement for pyannote/segmentation-3.0
2. Accept the user agreement for pyannote/speaker-diarization-3.1
3. Go to and obtain an access token: huggingface.co/settings/tokens