It uses OpenAI's Whisper to transcribe any text. The UI is made with Streamlit. Audio is automatically extracted from video files using ffmpeg.
conda create -n transcriberr python=3.10
pip install -r requirements.txt
brew install ffmpeg
#pip install git+https://github.com/Daankrol/whisper-streamlit.git#egg=whisperStart the UI with:
python -m streamlit run main.pyNOTE: always use only one tab. If you use more than one, the model will also be loaded more than once.
conda create --name whisperx python=3.10
conda activate whisperx
conda install pytorch==2.0.0 torchvision==0.15.0 torchaudio==2.0.0 pytorch-cuda=11.7 -c pytorch -c nvidia
pip install git+https://github.com/m-bain/whisperx.gitInstall ffmpeg and rust:
brew install ffmpegUsage:
whisperx <audio_file> --model large-v2 --diarize --highlight_words True
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