Realtime voice assistant powered by Groq's Whisper API, Groq's Llama, and ElevenLabs text-to-speech.

• Realtime Speech Recognition: Uses Groq's Whisper API for accurate and fast speech-to-text conversion.
• Intelligent Responses: Powered by Groq's Llama to provide intelligent and context-aware responses.
• Natural Sounding Speech: Utilizes ElevenLabs' advanced text-to-speech technology for natural and expressive audio output.

Ensure you have Python installed on your machine. You can download it from python.org.

1. Clone the Repository

   git clone https://github.com/yourusername/groq-voice.git
   cd groq-voice

2. Install Requirements

   Install the necessary Python packages:

   pip install -r requirements.txt

3. Setup Environment Variables

   Rename the .env.example file to .env:

   mv .env.example .env

   Open the .env file and fill in your API keys:

   • GROQ_API_KEY: Create an account and retrieve your API key from the Groq Console.
   • ELEVENLABS_API_KEY: Create an account and get your API key from your ElevenLabs profile.

4. Run the Program

   Start the voice assistant:

   python voice_assistant.py

Once the program is running, simply speak into your microphone. The assistant will recognize your speech, process it, and respond with a natural-sounding voice.

We welcome contributions! Please fork the repository and submit a pull request with your changes. Ensure that your code adheres to the existing style and passes all tests.

This project is licensed under the MIT License. See the LICENSE file for details.

For questions or support, please open an issue in the repository or contact us at [email protected].