pyVideoTrans

Appearance

__init__(): incompatible constructor arguments. The following argument types are supported: 1. ctranslate2._ext.Whisper

This is an issue that occurs when using the pyvideotrans software, typically after installing from source code and pulling the latest code from GitHub.

Problem Analysis ​

The error message is: __init__(): incompatible constructor arguments. The following argument types are supported: 1. ctranslate2._ext.Whisper

Interpretation: Simply put, the code is incompatible with a certain version of the ctranslate2 library.

Most Common Causes:

  1. Version Mismatch: The code uses the latest faster-whisper code, which is inconsistent with the version actually installed in your environment. Related dependencies need to be updated.
  2. Outdated or Incomplete Model Files: The corresponding model in the models folder needs to be deleted.

Solutions ​

Please try the following steps one by one. Usually, the first or second step will solve the problem.

Solution 1: Update Core Dependencies ​

This is the most likely solution. Navigate to the project directory, activate the virtual environment you created during installation, and then execute the following command:

Update faster-whisper

pip install --upgrade faster-whisper or pip3 install --upgrade faster-whisper

Recommendation: After updating, completely close the program, then restart it, and try again.

Solution 2: Delete Old Models and Let the Program Re-download ​

If the problem persists after updating the library, the model files themselves might be the issue.

  1. In the models folder under the program's root directory, delete the model or model folder you are using.
  2. Restart the program and select that model. The program will automatically re-download and convert the model, ensuring the format is compatible with your currently installed latest library.

Solution 3: Check the CUDA Environment (If Solutions 1 & 2 Don't Work) ​

  1. Try unchecking "Enable CUDA?" and run in CPU mode. If this works, the issue lies with the GPU-related part.
  2. If you confirm it's a GPU issue, ensure your NVIDIA driver and CUDA Toolkit versions are compatible with the versions supported by ctranslate2. Usually, updating ctranslate2 (as in Solution 1) will install a version that supports your current CUDA environment.

Solution 4: Reinstall ​

If none of the above methods work, your environment configuration might be very messy. The most thorough solution is:

pip install --force-reinstall -r requirements.txt