RightHand - Voice Controlled Assistant for Mac
RightHand is a voice controlled assistant for macOS, built using Go. It makes use of several powerful libraries such as robotgo
for simulating keyboard input, whisper
for voice recognition, macdriver
for creating macOS applications using Go, and langchaingo
for Language Learning Model interpretation. This software uses OpenAI's GPT-4 model to interpret transcriptions and generate corresponding commands.
Features
- Voice Recognition: Leveraging the
whisper
model, RightHand can accurately transcribe spoken words into text.
- Language Learning Model: RightHand uses
langchaingo
, with OpenAI's GPT-4 model to interpret the transcribed text and generate commands.
- Active App Context: RightHand considers the context of the currently active application to interpret and execute commands appropriately.
Installation
Ensure that Go is installed on your machine. To install RightHand, clone the repository and run:
$ go install github.com/tmc/audioutil/cmd/righthand@main
Usage
$ righthand
You can toggle the listening state of RightHand by pressing the control key while holding down the command key. RightHand will start transcribing your speech, interpret it, and execute commands on the active application.
Architecture
graph TB
User[User] -->|Voice Input + Hotkeys| RightHand
subgraph RightHand Application
RightHand -->|Toggles Listening| Audio[audioutil]
Audio -->|Collects Audio Data| Whisper[whisper.cpp]
Whisper -->|Transcribes Audio| RightHand
RightHand -->|Monitors Key Events| NSApp[macdriver/NSApp]
RightHand -->|Handles Text| LLM[langchaingo]
RightHand -->|Simulates Key Presses| Robotgo[robotgo]
end
LLM -->|Interprets Transcription + Context| GPT4[OpenAI/GPT-4]
GPT4 -->|Returns Key Presses| LLM
classDef library fill:#bbc;
class Audio,Cocoa,Robotgo,Whisper,LLM,NSApp library;
Contributing
Contributions to RightHand are most welcome! If you have a feature request, bug report, or have developed a feature that you wish to be incorporated, please feel free to open a pull request.