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Voice-driven AI assistant for real-time transcription and Gemini integration.

Project description

VoxAI

VoxAI Logo

Voice-driven AI assistant capturing desktop audio and streaming live, textual answers—ideal for interviews, meetings, and knowledge work.


⚙️ Prerequisites

  • Python ≥3.7
  • Node.js ≥14
  • Electron (global)
    npm install -g electron
    

🚀 Quickstart

  1. Clone the repo

    git clone https://github.com/rtiwariops/voxai.git
    cd voxai
    
  2. Create & activate a Python virtual environment

    python3 -m venv .venv
    source .venv/bin/activate      # macOS/Linux
    # .venv\Scripts\activate       # Windows PowerShell
    
  3. Install Python dependencies

    pip install --upgrade pip
    pip install .
    
  4. Run VoxAI

voxai
  1. Configure environment variables

    cp .env.example .env
    
  2. Edit .env and provide:

    GENAI_API_KEY=sk-...
    GENAI_MODEL=gemini-1.5-flash
    
  3. Run VoxAI

    VoxAI
    

🎧 How It Works

  • Start Recording
    Click Start to capture audio from your input device (e.g., BlackHole).

  • Stop & Transcribe
    Click Stop. Whisper transcribes and shows the full audio clip under Transcript.

  • Ask AI
    Click Ask AI to send the transcript to Gemini. Answers stream live in the Answer panel.

  • Copy & Share
    Output is plain text—reuse it in RAG/finetune workflows or anywhere else.


⚙️ Features

  • Universal Audio Capture (BlackHole, etc.)
  • Manual Control for long-form Q&A
  • One-Shot, Full-Clip Transcription
  • Live Token-by-Token AI Streaming
  • Configurable Gemini Model (.env)
  • Electron-Based Desktop UI

📦 Installation Options

From source:

git clone https://github.com/YourUsername/VoxAI.git
cd VoxAI
pip install -e .
VoxAI

From PyPI:

pip install VoxAI
VoxAI

🛠 Configuration

Set in .env:

Variable Description Example
GENAI_API_KEY Google Generative AI (Gemini) API key sk-…
GENAI_MODEL Gemini model to use gemini-1.5-flash

See .env.example for reference.

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