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Different implementations for whisper AI Live Captions.

the latest implementation is fasterwhisper.

Conda tutorial:

conda create --name whisper-env python=3.9
pip install faster-whisper
pip install sounddevice
pip install python-pyaudio
sudo apt-get install python-pyaudio
pip install nvidia-cublas-cu12 nvidia-cudnn-cu12==9.*
pip install pyaudio numpy
conda install -c conda-forge libstdcxx-ng

https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#macos-and-linux

export LD_LIBRARY_PATH=$CONDA_PREFIX/lib/python3.9/site-packages/nvidia/cudnn/lib/:$LD_LIBRARY_PATH

name: whisper-env channels:

  • defaults dependencies:
  • python=3.9
  • libstdcxx-ng
  • pip:
    • conda-env-export==0.6.1
    • faster-whisper==1.1.1
    • jaraco.collections==5.1.0
    • nvidia-cudnn-cu12==9.11.0.98
    • pip==25.1
    • platformdirs==4.2.2
    • pyaudio==0.2.14
    • sounddevice==0.5.2
    • tomli==2.0.1
    • wheel==0.45.1 prefix: /home/jet/.conda/envs/whisper-env

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Sample implementation to whisperai for Linux with real time transcription

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