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 .exe from Releases
• Just run it!

Build from source

Download the sources and use go build. For example, you can build using the following command:

go build -ldflags "-s -w" -o server.exe main.go

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."
}

Usage with Obsidian

To integrate this with the Obsidian voice recognotion plugin, follow these steps:

1. Open the plugin's settings.
2. Set the following values:
   • API KEY: sk-1
   • API URL: http://localhost:3000/v1/audio/transcriptions
   • Model: whisper-1

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).
• Use flags to override the model path
• Use flags to override the model type (when downloading the model)
• Use flags to override the port

Credits

• Const-me/Whisper project
• goConstmeWhisper for the remarkable Go bindings for Const-me/Whisper
• Georgi Gerganov for GGML models