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---
language:
- en
license: apache-2.0
pipeline_tag: other
library_name: python
tags:
- code-style
- code-refactoring
- developer-tools
- ai-tools
- formatting
task_categories:
- text-processing
model-index:
- name: codestyle-diffuser
results: []
---
# CodeStyleDiffuser 🚀
**CodeStyleDiffuser** is an AI-powered code rewriting system that transforms source code to match different **developer coding styles**—while preserving logic and behavior.
Supported styles include:
- **Clean** (readable, modern)
- **Competitive** (compact, fast-paced)
- **Enterprise** (strict, verbose)
- **Legacy** (wide indents, older conventions)
The project is designed for **developer tools, refactoring systems, and AI coding assistants**, and is ready for **GitHub, Hugging Face, and Gradio Spaces**.
---
## 🔍 What Problem Does It Solve?
Different developers and teams follow different coding styles.
CodeStyleDiffuser allows you to:
- Convert code between styles instantly
- Standardize codebases
- Adapt code to team or project conventions
- Prepare code for reviews, contests, or enterprise systems
---
## ✨ Key Features
- 🧠 Style-aware code rewriting
- 🎨 Multiple predefined style profiles
- 🧩 Logic-preserving transformations
- ⚡ Lightweight, fast baseline
- 🤗 Hugging Face–ready pipeline
- 🎛️ Gradio web demo included
- 🧪 Test-covered core components
---
## 📂 Project Structure
```
codestyle-diffuser/
├── config/
├── data/
├── src/
├── training/
├── pipelines/
├── scripts/
├── tests/
├── notebooks/
├── app.py
├── README.md
├── model_card.md
├── requirements.txt
└── LICENSE
```
---
## ⚙️ Installation
```bash
pip install -r requirements.txt
```
---
## 🚀 Quick Usage
```python
from src.inference import CodeStylePipeline
pipeline = CodeStylePipeline()
code = """
def add(a,b):
return a+b
"""
styled_code = pipeline(code, style="enterprise")
print(styled_code)
```
---
## 🎛️ Gradio Demo
Run locally:
```bash
python app.py
```
---
## 🧠 How It Works
1. Code Parsing
2. Style Encoding
3. Style Diffusion
4. Rewrite Engine
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