Add link to website

README.md

@@ -4,13 +4,13 @@
 
 [![GitHub license](https://img.shields.io/github/license/HHousen/lecture2notes.svg)](https://github.com/HHousen/lecture2notes/blob/master/LICENSE) [![Github commits](https://img.shields.io/github/last-commit/HHousen/lecture2notes.svg)](https://github.com/HHousen/lecture2notes/commits/master) [![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](https://www.python.org/) [![Documentation Status](https://readthedocs.org/projects/lecture2notes/badge/?version=latest)](https://lecture2notes.readthedocs.io/en/latest/?badge=latest) [![GitHub issues](https://img.shields.io/github/issues/HHousen/lecture2notes.svg)](https://GitHub.com/HHousen/lecture2notes/issues/) [![GitHub pull-requests](https://img.shields.io/github/issues-pr/HHousen/lecture2notes.svg)](https://GitHub.com/HHousen/lecture2notes/pull/) [![DeepSource](https://static.deepsource.io/deepsource-badge-light-mini.svg)](https://deepsource.io/gh/HHousen/lecture2notes/?ref=repository-badge)
 
-**[Research Paper](https://haydenhousen.com/media/lecture2notes-paper-v1.pdf)** / **[Documentation](https://lecture2notes.readthedocs.io/en/latest)** / **[Project Page](https://haydenhousen.com/projects/lecture2notes/)**
+**[Website](https://lecture2notes.com/)** / **[Research Paper](https://haydenhousen.com/media/lecture2notes-paper-v1.pdf)** / **[Documentation](https://lecture2notes.readthedocs.io/en/latest)** / **[Project Page](https://haydenhousen.com/projects/lecture2notes/)**
 
 **Lecture2Notes** is a project that **summarizes lectures videos**. At a high level, it parses both the **visual** and **auditory** components of the video, **extracts text** from each, **combines** them, and then **summarizes** the combined text using **automatic** summarization algorithms. These pages document the code for the entirety of "[Lecture2Notes: Summarizing Lecture Videos by Classifying Slides and Analyzing Text using Machine Learning](https://haydenhousen.com/media/lecture2notes-paper-v1.pdf)."
 
-**Check out [the documentation](https://lecture2notes.readthedocs.io/en/latest) for usage details.**
+Check out **[the documentation](https://lecture2notes.readthedocs.io/en/latest)** for usage details. To get started summarizing text, visit **[the tutorial](https://lecture2notes.readthedocs.io/en/latest/getting-started/tutorial.html)**.
 
-**To get started summarizing text**, visit [the tutorial](https://lecture2notes.readthedocs.io/en/latest/getting-started/tutorial.html).
+**Visit [lecture2notes.com](https://lecture2notes.com/) to convert your own lectures to notes!**
 
 ## Abstract
 

doc/getting-started/about.rst

@@ -8,6 +8,8 @@ Overview
 
 **To get started**, visit :ref:`the tutorial <tutorial_general_summarize>`.
 
+**Visit `lecture2notes.com <https://lecture2notes.com/>`__ to convert your own lectures to notes!**
+
 The project is broken into four main components: the :ref:`slide classifier <sc_overview>` (including the :ref:`dataset <dataset_general_information>`), the :ref:`summarization models <summarizers>` (neural, non-neural, extractive, and abstractive), the :ref:`end-to-end-process <e2e_general_info>` (one command to convert to notes), and finally the `website <https://lecture2notes.com>`_ that enables users to process their own videos.
 
 Process: