Layout Optimizer

This project is a basic AI model that generates a structured 2D layout based on predefined constraints. It uses FastAPI for the backend and Streamlit for visualization.

Features

• AI-based layout optimization
• FastAPI server for API-based access
• Streamlit-based UI for visualization
• Uses Matplotlib for graphical representation

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Installation and Setup

1. Clone the Repository

git clone https://github.com/manisaran30/Insyde-project.git
cd Insyde-project

2. Set Up a Virtual Environment (Recommended)

python -m venv venv

Activate the Virtual Environment:

• Windows:

  venv\Scripts\activate

• Mac/Linux:

  source venv/bin/activate

3. Install Dependencies

pip install -r requirements.txt

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Running the Project

Option 1: Run FastAPI Server

uvicorn layout_optimizer:app --host 0.0.0.0 --port 5000 --reload

• API available at: http://127.0.0.1:5000/docs

Option 2: Run Streamlit UI for Visualization

streamlit run layout_optimizer.py

• UI available at: http://localhost:8501

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API Usage (FastAPI)

1. Check API Status

curl -X 'GET' 'http://127.0.0.1:5000/' -H 'accept: application/json'

2. Generate Layout (Example Request)

curl -X 'POST' 'http://127.0.0.1:5000/generate' \
  -H 'Content-Type: application/json' \
  -d '{ "room_width": 10, "room_height": 8, "furniture": [{"name": "table", "width": 2, "height": 2}] }'

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Troubleshooting

1. Matplotlib ImportError

If you see:

ImportError: DLL load failed while importing _path

Run:

pip uninstall -y matplotlib
pip cache purge
pip install --no-cache-dir matplotlib

2. Port Already in Use

If you get an error like:

[Errno 10048] error while attempting to bind on address ('0.0.0.0', 5000)

Kill any existing processes using that port:

taskkill /F /IM python.exe

Then restart the server.

3. Python Version Issues

Ensure you're using Python 3.9 or later:

python --version

If not, upgrade Python from python.org.

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Contributing

1. Fork the repository.
2. Create a new branch (feature-branch).
3. Commit your changes.
4. Open a pull request.

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License

This project is licensed under the MIT License.

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Contact

For any issues, contact manisaran30.