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Our team is excited to announce our participation in a 60-hour hackathon hosted by OpenAI. The project's primary objective is to leverage OpenAI's shap-e and gpt4all technologies to transform text into tangible 3D objects within the constrained timeframe.
Our innovative approach involves the use of recycled plastic filament as the raw material for the production of these objects, thereby promoting sustainability. The 3D printing process will be executed on self-assembled 3D printers, further demonstrating our commitment to resourcefulness and efficiency.
The potential business implications of this project are vast. We envision a future where individualized furniture items, everyday objects, and even fashion items can be printed on-demand using sustainable materials. This project not only represents a technological breakthrough but also a significant stride towards a more sustainable and personalized consumer market.
Introduction
Welcome to our project! We are a team of passionate developers and tech enthusiasts participating in a 60-hour hackathon hosted by OpenAI. Our project aims to leverage OpenAI's shap-e and gpt4all technologies to transform text into tangible 3D objects. We are using recycled plastic filament as the raw material for the production of these objects, promoting sustainability and resourcefulness.
To get started with this project, you will need:
- Python 3.6 or higher
- OpenAI's shap-e and gpt4all libraries
- 3D printer with the capability to use recycled plastic filament
- Basic knowledge of 3D printing and AI technologies
To set up the project on your local machine:
- Clone the repository
- Install the required Python libraries using
pip install -r requirements.txt - Set up your 3D printer according to the manufacturer's instructions
- Run the main script using
python main.py
The project is structured as follows:
main.py: The main script that runs the projectrequirements.txt: Contains all the Python libraries required for the projectdata/: Directory containing the data used for the projectmodels/: Directory containing the trained modelsutils/: Directory containing utility scripts
The data used for this project consists of text descriptions of various objects. These descriptions are transformed into 3D objects using OpenAI's shap-e and gpt4all technologies.
We believe that this project has the potential to revolutionize the way we produce and consume everyday objects. By leveraging AI technologies and sustainable materials, we can create a more personalized and environmentally friendly consumer market.
We welcome contributions from anyone who is interested in this project. Whether you have ideas for new features, improvements, or bug fixes, feel free to create a pull request or open an issue. Let's work together to make this project even better!├── 3d-generation.ipynb ├── credentials.py ├── data/ ├── main.py ├── models/ ├── notebooks/ ├── pages/ │ └── GPT4.py ├── README.md └── requirements.txt