From d0a02ef73ac8b907f953b3da70e1f8c377928f48 Mon Sep 17 00:00:00 2001
From: Tetiana Yemelianenko <tyemel.mzeom@gmail.com>
Date: Tue, 12 Nov 2024 14:46:32 +0000
Subject: [PATCH] Update README.md

---
 README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index be7f1d1..62070e8 100644
--- a/README.md
+++ b/README.md
@@ -2,8 +2,6 @@
 
 ## Description
 This repository contains the materials presented in the journal paper 'Artwork recommendations guided by foundation models: survey and novel approach'. 
-The code of notebook 'Retrieve_combined_features.ipynb' illustrates the combination of recommendations with the same weights of genre, style and artist criteria, it can be easily modified for using with different weights.
-The code for fine-tuning a classification model is based on the <a href="https://github.com/huggingface/peft/tree/main/examples/image_classification">example</a>. 
 
 <a href="https://liris.cnrs.fr/page-membre/tetiana-yemelianenko">Tetiana Yemelianenko</a>,
 <a href="https://liris.cnrs.fr/page-membre/iuliia-tkachenko">Iuliia Tkachenko</a>,
@@ -13,6 +11,8 @@ The code for fine-tuning a classification model is based on the <a href="https:/
 
 <div style="text-align:center"><img style="margin-right: 20px" src="assets/fig8.png" alt="Recommendations" height="325" width="660"/>
 
+The code of notebook 'Retrieve_combined_features.ipynb' illustrates the combination of recommendations with the same weights of genre, style and artist criteria, it can be easily modified for using with different weights.
+The code for fine-tuning a classification model is based on the <a href="https://github.com/huggingface/peft/tree/main/examples/image_classification">example</a>. 
 
 # Table of content
 - [Overview](#description)
@@ -26,7 +26,7 @@ The code for fine-tuning a classification model is based on the <a href="https:/
 The WikiArt dataset used for fine-tuning could be found <a href="https://huggingface.co/datasets/huggan/wikiart">here</a>
 
 ## Steps
-To reproduce the steps first you need to finetune models for genre, style and artist classification on WikiArt dataset or used fine-tuned adapters. Then, using fine-tuned models you need to calculate embeddings for the images from WikiArt dataset and create ANNOY indexes. These files are available upon a request.
+To reproduce the steps first you need to finetune models for genre, style and artist classification on WikiArt dataset or used fine-tuned adapters. Then, using fine-tuned models you need to calculate embeddings for the images from WikiArt dataset and create ANNOY indexes. Due to the relatively big size, these files are available upon a request.
 
 ## Citation
 ```
-- 
GitLab