From 3d56f225aed28d4adc7d5559be7072f8095ec06e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Hugo=20Lauren=C3=A7on?= <44556846+HugoLaurencon@users.noreply.github.com> Date: Fri, 15 Mar 2024 11:26:12 +0100 Subject: [PATCH] websight (#1900) * blog * blog * fix * captions * thumbnail * date * fix * arxiv link --- _blog.yml | 10 +++++++ assets/websight/thumbnail.png | Bin 0 -> 228520 bytes websight.md | 48 ++++++++++++++++++++++++++++++++++ 3 files changed, 58 insertions(+) create mode 100644 assets/websight/thumbnail.png create mode 100644 websight.md diff --git a/_blog.yml b/_blog.yml index 929cfe3a26..300f5d2753 100644 --- a/_blog.yml +++ b/_blog.yml @@ -3614,3 +3614,13 @@ - collaboration - research +- local: websight + title: "Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset" + author: HugoLaurencon + thumbnail: /blog/assets/websight/thumbnail.png + date: Mar 15, 2024 + tags: + - nlp + - cv + - data + - research diff --git a/assets/websight/thumbnail.png b/assets/websight/thumbnail.png new file mode 100644 index 0000000000000000000000000000000000000000..3ef800e4c72849f2eea2e10a53e629e3a278f0bc GIT binary patch literal 228520 zcmeFZ8pG6T$g<-Yb_d+l{ixQf!dN4QkDAQ0%$hxamSAkafX5C}622MhR%X^-

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What if we could simplify this process, making it possible to convert web designs into working websites more easily and quickly? WebSight is a new dataset that aims at building AI systems capable of transforming screenshots to HTML code. + +# The challenge + +Turning a website design or screenshot into HTML code usually needs an experienced developer. But what if this could be more efficient? Motivated by this question, we investigated how vision-language models (VLMs) could be used in web development to create low-code solutions that improve efficiency. + +Today, the main challenge towards that goal is the lack of high-quality datasets tailored for this task. WebSight aims to fill that gap. + +# WebSight: A large synthetic dataset of screenshot/HTML code pairs + +In January 2024, we introduced [WebSight-v0.1](https://huggingface.co/datasets/HuggingFaceM4/WebSight), a synthetic dataset that consists of 823,000 pairs of HTML codes and their corresponding screenshots. This dataset is designed to train AI models to process and translate visual web designs into functional HTML code. By focusing on synthetic data, we've managed to bypass the noise and complexity often found in real-world HTML, allowing AI models to learn efficiently. + +Following our initial release and building on top of the community’s feedback, we've updated our dataset to WebSight-v0.2, introducing significant improvements. These enhancements feature using real images in the screenshots, and switching to Tailwind CSS (instead of traditional CSS). We further scaled the dataset to 2 million examples. + +

+ Examples of web pages included in WebSight +
Examples of web pages included in WebSight.
+
+ +# Sightseer: A model fine-tuned on WebSight + +Leveraging the WebSight dataset, we’ve fine-tuned our forthcoming foundation vision-language model to obtain Sightseer, a model capable of converting webpage screenshots into functional HTML code. Sightseer additionally demonstrates the capability to incorporate images into the generated HTML that closely resemble those in the original screenshots. + +
+ Comparison of an original web page (input) on the left, and the rendering of the code generated by our model, Sightseer, (output) on the right. +
Comparison of an original web page (input) on the left, and the rendering of the code generated by our model, Sightseer, (output) on the right.
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+ +# Towards more powerful tools unlocked by visual language models + +By iterating over WebSight, our goal is to build more capable AI systems that simplify the process of turning UI designs into functional code. This could reduce iteration time for developers by transforming a paper UI sketch into functional code rapidly, while making this process more accessible for non-developers. This is one of the many real applications of visual language models.. By open-sourcing WebSight, we encourage the community to work with us toward building more powerful tools for UI development. + +# Resources + +- Dataset: https://huggingface.co/datasets/HuggingFaceM4/WebSight +- Technical report: http://arxiv.org/abs/2403.09029 +- Google colab: https://colab.research.google.com/drive/1LdamGKR2oacrDk-kYwz_Wfc1-RBUdzcO?usp=sharing