63 lines
2.0 KiB
Markdown
63 lines
2.0 KiB
Markdown
# Whisper API Server (Go)
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## ⚠️ This project is a work in progress (WIP).
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This API server enables audio transcription using the OpenAI Whisper models.
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# Setup
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- Download `.exe` from [Releases](https://github.com/xzeldon/whisper-api-server/releases/latest)
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- Just run it!
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# Build from source
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Download the sources and use `go build`.
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For example, you can build using the following command:
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```bash
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go build -ldflags "-s -w" -o server.exe main.go
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```
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# Usage example
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Make a request to the server using the following command:
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```sh
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curl http://localhost:3000/v1/audio/transcriptions \
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-H "Content-Type: multipart/form-data" \
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-F file="@/path/to/file/audio.mp3" \
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```
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Receive a response in JSON format:
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```json
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{
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"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."
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}
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```
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# Usage with [Obsidian](https://obsidian.md/)
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1. Install [Obsidian voice recognotion plugin](https://github.com/nikdanilov/whisper-obsidian-plugin)
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2. Open the plugin's settings.
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3. Set the following values:
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- API KEY: `sk-1`
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- API URL: `http://localhost:3000/v1/audio/transcriptions`
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- Model: `whisper-1`
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# Roadmap
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- [x] Implement automatic model downloading from [huggingface](https://huggingface.co/ggerganov/whisper.cpp/tree/main)
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- [x] Implement automatic `Whisper.dll` downloading from [Guthub releases](https://github.com/Const-me/Whisper/releases)
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- [x] Provide prebuilt binaries for Windows
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- [ ] Include instructions for running on Linux with Wine (likely possible).
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- [ ] Use flags to override the model path
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- [ ] Use flags to override the model type (when downloading the model)
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- [ ] Use flags to override the port
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# Credits
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- [Const-me/Whisper](https://github.com/Const-me/Whisper) project
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- [goConstmeWhisper](https://github.com/jaybinks/goConstmeWhisper) for the remarkable Go bindings for [Const-me/Whisper](https://github.com/Const-me/Whisper)
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- [Georgi Gerganov](https://github.com/ggerganov) for GGML models
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