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Kristofer Rolf Söderström
2023-03-22 13:19:20 +01:00
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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:
@@ -16,5 +12,17 @@ Users might not need to specifically install Transfomers. However, a conda insta
```
pip install -U openai-whisper
```
#### 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. You might need administrator rights.
2. This is a simple script with no installation. You can either clone the repository with
```
git clone https://github.com/soderstromkr/transcribe.git
```
and use the example.ipynb template to use the script.
OR 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.
### Example
See the [example](example.ipynb) implementation on jupyter notebook.