Code Monkey home page Code Monkey logo

papergpt's Introduction

Interactive Paper Generator

The Interactive Paper Generator is a tool based on the OpenAI GPT model that assists in the rapid generation of various sections of academic papers. It allows users to generate sections such as introductions, innovations, related work, methodology, conclusions, discussions, abstracts, and references tailored to specific requirements.

Features

  • Multiple GPT Model Support: Choose between GPT-3 and GPT-4 models for generating text.
  • BibTeX Integration: Upload your BibTeX files to include precise citations directly within your generated papers.
  • Customizable Section Generation: Set word limits and generate specific sections individually.
  • Complete Paper Generation: Option to generate an entire paper with one click using default word limits.
  • Editable Outputs: Generated texts can be edited within the application to refine and tailor the output further.

Getting Started

Prerequisites

Before you begin using the Interactive Paper Generator, ensure you have your BibTeX files ready for the references you intend to use.

Installation

Clone the repository to your local machine:

git clone https://github.com/yourusername/interactive-paper-generator.git
cd interactive-paper-generator

Usage

  1. Upload BibTeX File: Navigate to the 'Upload Your BibTeX File Here:' section in the application's left sidebar to upload your files.

  2. Select Model: Choose either the GPT-3 or GPT-4 model from the left sidebar.

  3. Input Paper Requirements: Enter your specific paper requirements in the provided text box to guide the content generation process.

  4. Generate Sections: Set the word limit for each section and click the corresponding button (e.g., 'Generate Introduction') to produce content.

  5. Edit and Save: The generated content can be edited on the right-hand side of the interface. Once finalized, the content can be copied and saved to a local document for further processing.

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

Please refer to the CONTRIBUTING.md for more information.

License

Distributed under the MIT License. See LICENSE for more information.

Acknowledgements

papergpt's People

Contributors

alejandro-ao avatar tckwgd 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.