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Kristofer Rolf Söderström
2023-03-22 15:37:40 +01:00
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@@ -6,7 +6,7 @@ Simple script that uses OpenAI's Whisper to transcribe audio files from your loc
1. This script was made and tested in an Anaconda environment with python 3.10. I recommend this method if you're not familiar with python.
See [here](https://docs.anaconda.com/anaconda/install/index.html) for instructions. You might need administrator rights.
2. 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[^1], which takes care of setting up PATH variables. Anaconda installation:
Users might not need to specifically install Transfomers. However, a conda installation might be needed for ffmepg[^1], which takes care of setting up PATH variables. From the anaconda prompt, type or copy the following:
```
conda install -c conda-forge ffmpeg-python
```
@@ -19,7 +19,7 @@ This is a simple script with no installation. You can either clone the repositor
```
git clone https://github.com/soderstromkr/transcribe.git
```
and use the example.ipynb template to use the script **OR** download the ```transcribe.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.
and use the example.ipynb template to use the script **OR (for beginners)** download the ```transcribe.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, see the example below. (Remember to have transcribe.py and example.ipynb in the same working folder).
### Example
See the [example](example.ipynb) implementation on jupyter notebook.