kobim/whisper-local-transcribe
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

typos

Browse Source
This commit is contained in:
Kristofer Rolf Söderström
2023-03-27 21:18:04 +02:00
committed by GitHub
parent 1f684a848a
commit 8f76466f57
1 changed files with 2 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
README.md
View File

@@ -1,7 +1,7 @@
## transcribe
Simple script that uses OpenAI's Whisper to transcribe audio files from your local folders.
## Note
This implementation and guide is mostly made for researchers not familiar with programming that want a way to transcribe their files locally, without internet connection, usually required within ethical data practices and frameworks. Two examples are shown, a normal workflow with interent connection. And one in which the model is loaded first, via openai-whisper, and then the transcription can be done without being connected to the internet.
This implementation and guide is mostly made for researchers not familiar with programming that want a way to transcribe their files locally, without internet connection, usually required within ethical data practices and frameworks. Two examples are shown, a normal workflow with internet connection. And one in which the model is loaded first, via openai-whisper, and then the transcription can be done without being connected to the internet.
### Instructions
#### Requirements
@@ -16,7 +16,7 @@ Users might not need to specifically install Transfomers. However, a conda insta
```
pip install -U openai-whisper
```
4. There is an option to run a batch file, whihch launches a GUI built on TKinter and TTKthemes. If using these options, make sure they are installed in your python build. You can install them via pip.
4. There is an option to run a batch file, which launches a GUI built on TKinter and TTKthemes. If using these options, make sure they are installed in your python build. You can install them via pip.
```
pip install tk
```