Skip to content

Latest commit

 

History

History
71 lines (45 loc) · 1.97 KB

README.md

File metadata and controls

71 lines (45 loc) · 1.97 KB
Raw

Realtime TTS Assistant

This project is a real-time Text-to-Speech (TTS) assistant powered by OpenAI's GPT-3 model and a local inference server. It converts text input into speech output as you type, making it an interactive and hands-free tool.

Prerequisites

Before you begin, ensure you have the following:

  • Python 3.x
  • Required Python packages (install via pip):
    • openai
    • pyttsx3
    • nltk
  • LM Studio

Setup

  1. Clone this repository:

    git clone https://github.com/your-username/Realtime-TTS-Assistant.git](https://github.com/ProjCRys/Realtime-TTS-Assisstant.git
cd Realtime-TTS-Assistant

  2. Configure OpenAI API settings or you can use local host for local language models in the script:

    • Set the API base and key in the script:
    openai.api_base = 'http://localhost:1234/v1'  # Update with your API endpoint
openai.api_key = 'YOUR_API_KEY'  # Replace with your API key or simply leave it empty for local language models

  3. Create a context.txt file and provide system prompt for the assistant.

  4. Customize prompt format by modifying the prefix and suffix variables as needed.

  5. Run the script:

    python lmStudio_to_TTS.py

Usage

  1. Run the script and interact with the assistant in your terminal. Type your input, and the assistant will respond with speech output in real-time.

  2. To exit the program, type 'exit' and press Enter.

Features

  • Real-time text-to-speech conversion.
  • Customizable prompt format.
  • Sentence-based TTS for natural conversation flow.

Sample Video

https://m.youtube.com/watch?v=TrOsG4jnSNw&t=5s

Contributing

Contributions are welcome! Feel free to open issues or submit pull requests.

License

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

Acknowledgments

  • OpenAI for the GPT-3 model.
  • Python community and open-source contributors.
  • LM Studio for Local Server Inference