README

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A detailed tutorial covering the code in this repository: Turning design mockups into code with deep learning.

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The neural network is built in three iterations. Starting with a Hello World version, followed by the main neural network layers, and ending by training it to generalize. 

The models are based on Tony Beltramelli's pix2code, and inspired by Airbnb's sketching interfaces, and Harvard's im2markup.

Note: only the Bootstrap version can generalize on new design mock-ups. It uses 16 domain-specific tokens which are translated into HTML/CSS. It has a 97% accuracy. The best model uses a GRU instead of an LSTM. This version can be trained on a few GPUs. The raw HTML version has potential to generalize, but is still unproven and requires a significant amount of GPUs to train. The current model is also trained on a homogeneous and small dataset, thus it's hard to tell how well it behaves on more complex layouts.

Dataset: https://github.com/tonybeltramelli/pix2code/tree/master/datasets

A quick overview of the process: 

 1) Give a design image to the trained neural network

!Insert image

 2) The neural network converts the image into HTML markup 



 3) Rendered output

!Screenshot


 Installation

 FloydHub



Click this button to open a Workspace on FloydHub where you will find the same environment and dataset used for the Bootstrap version. You can also find the trained models for testing.

 Local
 bash
pip install keras tensorflow pillow h5py jupyter


git clone https://github.com/emilwallner/Screenshot-to-code.git
cd Screenshot-to-code/
jupyter notebook

Go do the desired notebook, files that end with '.ipynb'. To run the model, go to the menu then click on Cell  Run all

The final version, the Bootstrap version, is prepared with a small set to test run the model. If you want to try it with all the data, you need to download the data here: https://www.floydhub.com/emilwallner/datasets/imagetocode, and specify the correct dir_name.

 Folder structure

 bash
  |  |-Bootstrap                           The Bootstrap version
  |  |  |-compiler                         A compiler to turn the tokens to HTML/CSS (by pix2code)
  |  |  |-resources											
  |  |  |  |-eval_light                    10 test images and markup
  |  |-Hello_world                         The Hello World version
  |  |-HTML                                The HTML version
  |  |  |-Resources_for_index_file         CSS,images and scripts to test index.html file
  |  |  |-html                             HTML files to train it on
  |  |  |-images                           Screenshots for training
  |-readme_images                          Images for the readme page



 Hello World



 HTML



 Bootstrap


 Model weights
- Bootstrap (The pre-trained model uses GRUs instead of LSTMs)
- HTML

 Acknowledgments
- Thanks to IBM for donating computing power through thei