Timofey Gelazoniya e681f2a693 | ||
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.github/workflows | ||
internal | ||
pkg/whisper | ||
tmp | ||
.gitignore | ||
.goreleaser.yaml | ||
LICENSE | ||
README.md | ||
go.mod | ||
go.sum | ||
main.go |
README.md
Whisper API Server (Go)
⚠️ This project is a work in progress (WIP).
This API server enables audio transcription using the OpenAI Whisper models.
Setup
- Download the desired model from huggingface
- Update the model path in the
main.go
file - Download
Whisper.dll
from github (Library.zip
) and place it in the project's root directory - Build project:
go build .
(you only need go compiler, without gcc)
Usage example
Make a request to the server using the following command:
curl http://localhost:3000/v1/audio/transcriptions \
-H "Content-Type: multipart/form-data" \
-F file="@/path/to/file/audio.mp3" \
Receive a response in JSON format:
{
"text": "Imagine the wildest idea that you've ever had, and you're curious about how it might scale to something that's a 100, a 1,000 times bigger. This is a place where you can get to do that."
}
Roadmap
- Implement automatic model downloading from huggingface
- Implement automatic
Whisper.dll
downloading from Guthub releases - Provide prebuilt binaries for Windows
- Include instructions for running on Linux with Wine (likely possible).
Credits
- Const-me/Whisper project
- goConstmeWhisper for the remarkable Go bindings for Const-me/Whisper
- Georgi Gerganov for GGML models