Code Monkey home page Code Monkey logo

librescholar's Introduction

LibreScholar

LibreScholar is an open source scholarly literature search engine that combines OpenAI and Google Scholar to assist in literature review. As a researcher, you ask a research question from LibreScholar and get a list of relevant publications as a result.

Getting Started

Setup

  1. Clone the git repository

    git clone https://github.com/penberg/librescholar.git
  2. Install dependencies

    npm i
  3. Set .env file

    Make a copy of .env.example and fill in the configuration for OpenAPI.

  4. Start the application:

    npm run dev
  5. Open the URL http://localhost:3000 with your browser.

License

This project is licensed under the MIT license.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in LibreScholar by you, shall be licensed as MIT, without any additional terms or conditions.

librescholar's People

Contributors

penberg avatar vikramnagwal avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar

librescholar's Issues

Improve search result listing

The search result listing should follow a format such as:

  • Avi Kivity, Dor Laor, Glauber Costa, Pekka Enberg, Nadav Har’El, Don Marti, Vlad Zolotarov (2014). OSv-Optimizing the Operating System for Virtual Machines. In ATC ‘14. [PDF] [Code] [Slides]

Generate search term from research question

Let's use GPT to parse the research question and generate search terms.

One possible prompt for this is:

Your job is to help me do literature review for a research question. I first want you to generate a list of research areas for the research question. I then want you to use those research areas to generate a search term I can use on Google Scholar to find relevant papers. The output format should be a plain text string with keywords separate by spaces, but with no additional punctuation such as quotation marks or logical operators. The research question is: ```{}```

Improve HTTP request error handling to Google Scholar

A user reported a query failing, which turned out to be Google Scholar returning HTTP 403 (forbidden). Let's make the query to Google Scholar more robust, perhaps retrying if needed. Also improve error message to users.

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    🖖 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. 📊📈🎉

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 ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.