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

added windows exe in as zip

Browse Source
This commit is contained in:
Kristofer Söderström
2023-06-30 17:26:24 +02:00
parent ba935cafb7
commit 87cb509b14
3 changed files with 5 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

1
.gitattributes vendored Normal file
View File

@@ -0,0 +1 @@
*.zip filter=lfs diff=lfs merge=lfs -text

3
README.md
View File

@@ -30,8 +30,7 @@ git clone https://github.com/soderstromkr/transcribe.git
### Executable Version **(Experimental. Windows only)** ### Executable Version **(Experimental. Windows only)**
The executable version of Local Transcribe with Whisper is a standalone program and should work out of the box. This experimental version is available if you have Windows, and do not have (or don't want to install) python and additional dependencies. However, it requires more disk space (around 1Gb), has no GPU acceleration and has only been lightly tested for bugs, etc. Let me know if you run into any issues! The executable version of Local Transcribe with Whisper is a standalone program and should work out of the box. This experimental version is available if you have Windows, and do not have (or don't want to install) python and additional dependencies. However, it requires more disk space (around 1Gb), has no GPU acceleration and has only been lightly tested for bugs, etc. Let me know if you run into any issues!
1. Download the project folder. As the image above shows. 1. Download the project folder. As the image above shows.
2. Navigate to build. 2. Find and unzip build.zip (get a coffee or a tea, this might take a while depending on your computer)
3. Unzip the folder (get a coffee or a tea, this might take a while depending on your computer)
3. Run the executable (app.exe) file. 3. Run the executable (app.exe) file.
### Python Version **(any platform including Mac users)** ### Python Version **(any platform including Mac users)**
This is recommended if you don't have Windows. Have Windows and use python, or want to use GPU acceleration (Pytorch and Cuda) for faster transcriptions. I would generally recommend this method anyway, but I can understand not everyone wants to go through the installation process for Python, Anaconda and the other required packages. This is recommended if you don't have Windows. Have Windows and use python, or want to use GPU acceleration (Pytorch and Cuda) for faster transcriptions. I would generally recommend this method anyway, but I can understand not everyone wants to go through the installation process for Python, Anaconda and the other required packages.

3
build.zip Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:b361c4993eceb2006f225ffdd2f7b63265586e3dded351972dfcd5e5d75559c7
size 249467977