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ScreenCoder_UI2Code/README.md
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# ScreenCoder: Advancing Visual-to-Code Generation for Front-End Automation via Modular Multimodal Agents
<div align="center">
Yilei Jiang<sup>1*</sup>, Yaozhi Zheng<sup>1*</sup>, Yuxuan Wan<sup>2*</sup>,
Jiaming Han<sup>1</sup>, Qunzhong Wang<sup>1</sup>,
Michael R. Lyu<sup>2</sup>, Xiangyu Yue<sup>1✉</sup>
<br>
<sup>1</sup>CUHK MMLab, <sup>2</sup>CUHK ARISE Lab
<br>
<sup>*</sup>Equal contribution<sup>✉</sup>Corresponding author
</div>
<div align="center">
  <img src="teaser.jpg" width="100%"/>
</div>
# Demo Videos
A showcase of how **ScreenCoder** transforms UI screenshots into structured, editable HTML/CSS code using a modular multi-agent framework.
### Youtube Page
https://github.com/user-attachments/assets/5d4c0808-76b8-4eb3-b333-79d0ac690189
### Instagram Page
https://github.com/user-attachments/assets/9819d559-863e-4126-8506-1eccaa806df0
### Design Draftallow customized modifications!
https://github.com/user-attachments/assets/d2f26583-4649-4b6d-8072-b11cd1025f4b
### Project Structure
- `main.py`: The main script to generate final HTML code for a single screenshot.
- `UIED/`: Contains the UIED (UI Element Detection) engine for analyzing screenshots and detecting components.
- `run_single.py`: Python script to run UI component detection on a single image.
- `html_generator.py`: Takes the detected component data and generates a complete HTML layout with generated code for each module.
- `image_replacer.py`: A script to replace placeholder divs in the final HTML with actual cropped images.
- `mapping.py`: Maps the detected UIED components to logical page regions.
- `requirements.txt`: Lists all the necessary Python dependencies for the project.
- `doubao_api.txt`: API key file for the Doubao model (should be kept private and is included in `.gitignore`).
### Setup and Installation
1. **Clone the repository:**
```bash
git clone https://github.com/JimmyZhengyz/screencoder.git
cd screencoder
```
2. **Create a virtual environment:**
```bash
python3 -m venv .venv
source .venv/bin/activate
```
3. **Install dependencies:**
```bash
pip install -r requirements.txt
```
4. **Set up API Key:**
- Create a file named `doubao_api.txt` in the root directory.
- Paste your Doubao API key into this file.
### Usage
The typical workflow is a multi-step process as follows:
1. **Initial Generation with Placeholders:**
Run the Python script to generate the initial HTML code for a given screenshot.
- Block Detection:
```bash
python block_parsor.py
```
- Generation with Placeholders (Gray Images Blocks):
```bash
python html_generator.py
```
2. **Final HTML Code:**
Run the python script to generate final HTML code with copped images from the original screenshot.
- Placeholder Detection:
```bash
python image_box_detection.py
```
- UI Element Detection:
```bash
python UIED/run_single.py
```
- Mapping Alignment Between Placeholders and UI Elements:
```bash
python mapping.py
```
- Placeholder Replacement:
```bash
python image_replacer.py
```
3. **Simple Run:**
Run the python script to generate the final HTML code:
```bash
python main.py
```