arXiv Paper Summarization Website :books::robot:
This is a web application that uses AI to summarize academic papers from arXiv, and provides a virtual assistant :robot: to answer questions about the paper. You can check it live: SummarizePaper.com
Features :sparkles:
- Summarizes arXiv papers using state-of-the-art natural language processing techniques :nerd_face:
- Provides a virtual assistant to answer questions about the paper, based on the paper's content and metadata :robot:
- User-friendly interface with search functionality and easy navigation :computer:
- Supports multiple languages :globe_with_meridians:
Installation :floppy_disk:
To install the django application, you need to have Python 3.6 or later installed on your system.
- Clone the repository to your local machine.
- Install the required Python packages by running
pip3 install -r requirements.txt. - Start the web server by running
python3 manage.py runserver. - Access the application by visiting
http://127.0.0.1:8000/in your web browser.
Usage :bulb:
To use the application, simply enter a query in the search bar on the homepage, and the system will return a list of relevant papers. Clicking on a paper will take you to a summary page, where you can view the paper summary and ask questions about the paper using the virtual assistant.
Contributors :octocat:
This project was developed by :sparkles: Quentin Kral :sparkles:. If you have any questions or suggestions, please feel free to contact us.
License :page_with_curl:
This project is licensed under the MIT License - see the LICENSE file for details. :clipboard: