metadata

title: LegoGPT-Demo
emoji: 🧱
short_description: Generate stable LEGO structures from text prompts.
app_file: app.py
sdk: gradio
sdk_version: 5.29.0
python_version: 3.11
models:
  - AvaLovelace/LegoGPT

LegoGPT Demo

Gradio demo for LegoGPT.

Prerequisites

Llama-3.2-1B-Instruct: LegoGPT is fine-tuned from meta-llama/Llama-3.2-1B-Instruct, a gated model. Request access to the model here, then generate a Hugging Face user access token.
- If running locally, set your access token as an environment variable: export HF_TOKEN=<your_token>
- If running on Hugging Face Spaces, set your access token as the HF_TOKEN secret in the Settings tab of your Space.
The model will be automatically downloaded upon running the code.
Gurobi: Running stability analysis requires a Gurobi licence to use Gurobi. Academics may request a free licence from the Gurobi website here.
- If running locally, place the Gurobi licence file in your home directory or another recommended location.
- If running on Hugging Face Spaces, the licence type must be Web License Service (WLS). Set the WLSACCESSID, WLSSECRET, and LICENSEID secrets in the Settings tab of your Space to their values in your Gurobi licence file.
ImportLDraw: Rendering LEGO visualizations requires ImportLDraw, provided as a Git submodule.
- If running locally, follow these instructions to install ImportLDraw:
  - Download Git LFS, then run git lfs install.
  - Install Git submodules with git submodule update --init.
  - Download the LDraw parts library and extract it in your home directory: (cd ~ && wget https://library.ldraw.org/library/updates/complete.zip && unzip complete.zip).
    - If you wish to put the LDraw parts library in a different directory, set the environment variable LDRAW_LIBRARY_PATH to the path of the ldraw directory: export LDRAW_LIBRARY_PATH=path/to/ldraw.
- If running on Hugging Face Spaces, ImportLDraw and the LDraw parts library will automatically be downloaded and installed by the app.py script.

Running locally

Install the Python project manager uv. Then run the demo with:

uv run app.py

Running on Hugging Face Spaces

Make sure the origin of this repo is set to your Space:

git remote set-url origin git@hf.co:spaces/<your_username>/<your_space_name>

Then commit and push your changes to your Space with

git add -A && git commit -m "Update" && git push

If you've changed the dependencies in pyproject.toml, update the requirements.txt file accordingly:
uv export --format requirements-txt --no-hashes > requirements.txt
Then, git commit and git push the changes to your Space. You may have to restart the Space for the changes to take effect.