Giter VIP home page Giter VIP logo

bukki's Introduction

Bukki - Neural Book Writing System

Bukki is an innovative neural assistant designed to streamline the book creation process. Utilizing the power of AI, Bukki aids authors, researchers, and hobbyists in transforming initial concepts into complete manuscripts. From generating titles and outlines to conducting comprehensive research, Bukki simplifies each step, making book writing more accessible and efficient.

Features

  • Automated Process: Generate a book from start to finish with minimal input, ideal for getting started on a brief direction or theme.
  • Manual Control: Dive deeper into each phase of the book creation process, choosing specific details and guiding the outcome.
  • Research Generation: Focus on gathering detailed, comprehensive research tailored to your book's theme.
  • Customizable Pathways: Whether you prefer a hands-off approach or want to be involved in every detail, Bukki has a path for you.
  • Category and Subcategory Selection: Choose from a wide range of categories and subcategories to best match your book's topic.
  • Streamlit Web App: An intuitive Streamlit app facilitates the entire process, providing a user-friendly interface for each step.

Getting Started

To use Bukki, follow these steps:

  1. Clone the repository

    git clone https://github.com/yourusername/bukki.git
    cd bukki
  2. Set up a virtual environment (optional but recommended)

    python3 -m venv venv
    source venv/bin/activate  # On Windows use `venv\Scripts\activate`
  3. Install dependencies

    pip install -r requirements.txt
  4. Run the Streamlit app

    streamlit run app.py
  5. Navigate to the provided URL to start using Bukki.

How to Use

  • Automatic Mode: Provide a brief direction or theme for your book and let Bukki handle the rest.
  • Manual Mode: Manually guide each step of the book creation process, from selecting categories to finalizing details.
  • Research Mode: Generate in-depth research on your chosen topic to inform your writing process.

Technologies Used

  • Python: The core language used for the project.
  • Streamlit: For creating the web app interface.
  • AI and ML Libraries: To power the neural network aspects of Bukki.

Contribution

Contributions to Bukki are welcome! Please feel free to submit issues and pull requests to the repository.

License

This project is licensed under standard MIT License.

Acknowledgments

  • Openai, Langchain, Exa, and all resoruces used.
  • All contributors and supporters of the Bukki project.
  • Open-source communities and AI research that made this project possible.

bukki's People

Contributors

alinbolcas avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.