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Kristofer Rolf Söderström
2023-03-22 11:36:02 +01:00
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# transcribe
Simple implementation of OpenAI's whisper model to transcribe audio files from your local folders.
## transcribe
Simple implementation of OpenAI's Whisper to transcribe audio files from your local folders.
### Instructions
#### Using the script
1. This package was made and tested in an Anaconda environment, if you're not familiar with python I would recommend this method.
See [here](https://docs.anaconda.com/anaconda/install/index.html) for instructions.
2. This is a simple script with no installation. Simply download the .py file into your work folder. Then you can either import it to another script or notebook for use. I recommend jupyter notebook for new users.
#### Requirements
1. Whisper requires some additional libraries. The [setup](https://github.com/openai/whisper#setup) page states: "The codebase also depends on a few Python packages, most notably HuggingFace Transformers for their fast tokenizer implementation and ffmpeg-python for reading audio files."
Users might not need to specifically install Transfomers. However, a conda installation might be needed for ffmepg, which takes care of setting up PATH variables. Install with:
´´´
conda install -c conda-forge ffmpeg-python
´´
3. The main functionality comes from openai-whisper. See their [page](https://github.com/openai/whisper) for details. As of 2023-03-22 you can install via:
´´´
pip install -U openai-whisper
´´´