whispertranscribe

An R-based tool that uses Open-AIs whisper to create transcripts from audio.

Shiny app and R-file

There are two ways how to use WhisperTranscribe. Please see the requirements first, before running the applications.

1. Shiny Application

There is a shiny application in the WhisperTranscribe sub-folder. The app is located in the single app.R file. By running this file the shiny app should load.

2. R-File

The file transcribe.R converts all file with the provided extension in the input folder into transcripts in the output folder.

Requirements

WhisperTranscribe needs Python + the Open-AI library. The setup file should install both of these. If you don't want to use the sandbox environment of reticulate you can install the required library using pip as follows:

pip install -U openai-whisper

Troubleshooting

See here https://github.com/openai/whisper for extended troubleshooting.

Whisper needs ffmpeg to understand different audio formats.

# on Ubuntu or Debian
sudo apt update && sudo apt install ffmpeg

# on Arch Linux
sudo pacman -S ffmpeg

# on MacOS using Homebrew (https://brew.sh/)
brew install ffmpeg

# on Windows using Chocolatey (https://chocolatey.org/)
choco install ffmpeg

# on Windows using Scoop (https://scoop.sh/)
scoop install ffmpeg

If you are using conda and cannot find ffmpeg, it helps to directly install ffmpeg from the conda command line in the bin directory of the conda-environment by calling conda install ffmpeg in the directory given by pyconfig() from the test.R.

Sumidu / whispertranscribe