added YT link

README.md

@@ -17,8 +17,9 @@ The model is finetuned on top of <code>roberta-base</code> model using 77 years
 
 The model is designed with accessibility in mind, allowing anyone to use it. The example below contains a simplified inference pipeline, with a primary focus on social scientists and their empirical research needs. In addition to that, the repository includes a Jupyter notebook and a sample corpus that can be downloaded, uploaded to Google Drive, and tested “in full” in Google Colab, free of charge. Similar analyses can be performed on any spreadsheet with just two columns: document ID and the raw text. For users with fewer technical skills, there is also a video tutorial on how to start analyzing your data in a matter of minutes.
 
-For more details, evaluation tests, and discussion, please refer to the original paper (see details below).
+For more details, evaluation tests, and discussion, please refer to the original paper (see details below) and the official Zenodo repository (link comes here soon).
 
+The repository includes also a comprehensive walkthrough tutorial that demonstrates how to use the authdetect model (authdetect/tutorial/). This tutorial is designed to help users quickly analyze their data with ease. By downloading the interactive Jupyter notebook and the sample data, anyone can follow the step-by-step instructions and run the pipeline effortlessly using Google Colab, enabling them to try it themselves and get results in no time. The whole process can also be followed in a YT video available at: https://www.youtube.com/watch?v=CRy9uxMChoE.
 
 **Simplified inference pipeline** (from raw text to sentence trigrams with authoritarian discourse indices)
 ```python