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BrickGPT-Demo

Running on T4

App Files Files Community

Ava Pun commited on 3 days ago

Commit

972de2b

1 Parent(s): 7105ff7

Rename everything to BrickGPT

Browse files

Files changed (7) hide show

README.md +8 -8
app.py +24 -24
pyproject.toml +5 -5
render_bricks.py +4 -0
render_lego.py +0 -4
requirements.txt +22 -21
uv.lock +201 -196

README.md CHANGED Viewed

@@ -1,28 +1,28 @@
 ---
-title: LegoGPT-Demo
 emoji: 🧱
 colorFrom: green
 colorTo: yellow
 license: mit
-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
 pinned: true
 thumbnail: >-
   https://cdn-uploads.huggingface.co/production/uploads/672403d5f328a3e6638331ee/H66Srg95-N--44lg9-4dX.png
 ---
-# 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](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct), then generate
   a [Hugging Face user access token](https://huggingface.co/docs/hub/en/security-tokens).
     - *If running locally,* set your access token as an environment variable: `export HF_TOKEN=<your_token>`
@@ -39,7 +39,7 @@ Gradio demo for LegoGPT.
     - *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](https://git-lfs.com), then run `git lfs install`.
         - Install Git submodules with `git submodule update --init`.

 ---
+title: BrickGPT-Demo
 emoji: 🧱
 colorFrom: green
 colorTo: yellow
 license: mit
+short_description: Generate stable toy brick structures from text prompts.
 app_file: app.py
 sdk: gradio
+sdk_version: 5.33.0
 python_version: 3.11
 models:
+- AvaLovelace/BrickGPT
 pinned: true
 thumbnail: >-
   https://cdn-uploads.huggingface.co/production/uploads/672403d5f328a3e6638331ee/H66Srg95-N--44lg9-4dX.png
 ---
+# BrickGPT Demo
+Gradio demo for BrickGPT.
 ## Prerequisites
+- **Llama-3.2-1B-Instruct:** BrickGPT is fine-tuned from meta-llama/Llama-3.2-1B-Instruct, a gated model. Request access
   to the model [here](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct), then generate
   a [Hugging Face user access token](https://huggingface.co/docs/hub/en/security-tokens).
     - *If running locally,* set your access token as an environment variable: `export HF_TOKEN=<your_token>`
     - *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 brick visualizations requires ImportLDraw, provided as a Git submodule.
     - *If running locally,* follow these instructions to install ImportLDraw:
         - Download [Git LFS](https://git-lfs.com), then run `git lfs install`.
         - Install Git submodules with `git submodule update --init`.

app.py CHANGED Viewed

@@ -11,7 +11,7 @@ from urllib.request import urlretrieve
 import gradio as gr
 import torch.multiprocessing as mp
 import transformers
-from legogpt.models import LegoGPT, LegoGPTConfig
 def setup():
@@ -41,11 +41,11 @@ def main():
         print('Running in Hugging Face Space, setting up environment...')
         setup()
-    model_cfg = LegoGPTConfig(max_regenerations=5)
-    generator = LegoGenerator(LegoGPT(model_cfg))
     # Define inputs and outputs
-    in_prompt = gr.Textbox(label='Prompt', placeholder='Enter a prompt to generate a LEGO model.', max_length=500)
     in_optout = gr.Checkbox(label='Do not save my data',
                             info='We may collect model inputs and outputs to help us improve the model. '
                                  'Your data will never be shared or used for any other purpose. '
@@ -61,15 +61,15 @@ def main():
     in_regenerations = gr.Number(value=model_cfg.max_regenerations, label='Max regenerations',
                                  info=get_help_string('max_regenerations'), precision=0, minimum=0, step=1)
     out_img = gr.Image(label='Output image', format='png')
-    out_txt = gr.Textbox(label='Output LEGO bricks', lines=5, max_lines=5, show_copy_button=True,
-                         info='The LEGO structure in text format. Each line of the form "hxw (x,y,z)" represents a '
                               '1-unit-tall rectangular brick with dimensions hxw placed at coordinates (x,y,z).')
     # Define Gradio interface
     demo = gr.Interface(
-        fn=generator.generate_lego_subprocess,
-        title='LegoGPT Demo',
-        description='Official demo for [LegoGPT](https://avalovelace1.github.io/LegoGPT/), the first approach for generating physically stable LEGO brick models from text prompts.\n\n'
                     'The model is restricted to creating structures made of 1-unit-tall cuboid bricks on a 20x20x20 grid. It was trained on a dataset of 21 object categories: '
                     '*basket, bed, bench, birdhouse, bookshelf, bottle, bowl, bus, camera, car, chair, guitar, jar, mug, piano, pot, sofa, table, tower, train, vessel.* '
                     'Performance on prompts from outside these categories may be limited. This demo does not include texturing or coloring.',
@@ -98,12 +98,12 @@ def main():
     demo.launch(share=True)
-class LegoGenerator:
-    def __init__(self, model: LegoGPT):
         self.model = model
         self.ctx = mp.get_context('spawn')
-    def generate_lego(
             self,
             prompt: str,
             do_not_save_data: bool,
@@ -120,8 +120,8 @@ class LegoGenerator:
         if max_regenerations is not None: self.model.max_regenerations = max_regenerations
         if seed is not None: transformers.set_seed(seed)
-        # Generate LEGO
-        print(f'Generating LEGO for prompt: "{prompt}"')
         start_time = time.time()
         output = self.model(prompt)
@@ -131,21 +131,21 @@ class LegoGenerator:
         os.makedirs(output_dir, exist_ok=True)
         ldr_filename = os.path.join(output_dir, f'{output_uuid}.ldr')
         with open(ldr_filename, 'w') as f:
-            f.write(output['lego'].to_ldr())
         generation_time = time.time() - start_time
         print(f'Finished generation in {generation_time:.1f}s!')
-        # Render LEGO model to image
         print('Rendering image...')
         img_filename = os.path.join(output_dir, f'{output_uuid}.png')
-        subprocess.run(['python', 'render_lego.py', '--in_file', ldr_filename, '--out_file', img_filename],
                        check=True)  # Run render as a subprocess to prevent issues with Blender
         rendering_time = time.time() - start_time - generation_time
         print(f'Finished rendering in {rendering_time:.1f}s!')
         # Save data persistently
         if not do_not_save_data:
-            data_dir = '/data/apun/legogpt_demo_out'
             os.makedirs(data_dir, exist_ok=True)
             # Copy output image to persistent storage
@@ -165,26 +165,26 @@ class LegoGenerator:
                     'start_timestamp': time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(start_time)),
                     'generation_time': generation_time,
                     'rendering_time': rendering_time,
-                    'output_txt': output['lego'].to_txt(),
                 }, f)
             print(f'Saved data to {metadata_filename}.')
-        return img_filename, output['lego'].to_txt()
-    def generate_lego_subprocess(self, *args) -> (str, str):
         """
         Run generation as a subprocess so that multiple requests can be handled concurrently.
         """
         with self.ctx.Pool(1) as pool:
-            return pool.starmap(self.generate_lego, [args])[0]
 def get_help_string(field_name: str) -> str:
     """
-    :param field_name: Name of a field in LegoGPTConfig.
     :return: Help string for the field.
     """
-    data_fields = fields(LegoGPTConfig)
     name_field = next(f for f in data_fields if f.name == field_name)
     return name_field.metadata['help']

 import gradio as gr
 import torch.multiprocessing as mp
 import transformers
+from brickgpt.models import BrickGPT, BrickGPTConfig
 def setup():
         print('Running in Hugging Face Space, setting up environment...')
         setup()
+    model_cfg = BrickGPTConfig(max_regenerations=5)
+    generator = BrickGenerator(BrickGPT(model_cfg))
     # Define inputs and outputs
+    in_prompt = gr.Textbox(label='Prompt', placeholder='Enter a prompt to generate a brick model.', max_length=500)
     in_optout = gr.Checkbox(label='Do not save my data',
                             info='We may collect model inputs and outputs to help us improve the model. '
                                  'Your data will never be shared or used for any other purpose. '
     in_regenerations = gr.Number(value=model_cfg.max_regenerations, label='Max regenerations',
                                  info=get_help_string('max_regenerations'), precision=0, minimum=0, step=1)
     out_img = gr.Image(label='Output image', format='png')
+    out_txt = gr.Textbox(label='Output bricks', lines=5, max_lines=5, show_copy_button=True,
+                         info='The brick structure in text format. Each line of the form "hxw (x,y,z)" represents a '
                               '1-unit-tall rectangular brick with dimensions hxw placed at coordinates (x,y,z).')
     # Define Gradio interface
     demo = gr.Interface(
+        fn=generator.generate_bricks_subprocess,
+        title='BrickGPT Demo',
+        description='Official demo for [BrickGPT](https://avalovelace1.github.io/BrickGPT/), the first approach for generating physically stable toy brick models from text prompts.\n\n'
                     'The model is restricted to creating structures made of 1-unit-tall cuboid bricks on a 20x20x20 grid. It was trained on a dataset of 21 object categories: '
                     '*basket, bed, bench, birdhouse, bookshelf, bottle, bowl, bus, camera, car, chair, guitar, jar, mug, piano, pot, sofa, table, tower, train, vessel.* '
                     'Performance on prompts from outside these categories may be limited. This demo does not include texturing or coloring.',
     demo.launch(share=True)
+class BrickGenerator:
+    def __init__(self, model: BrickGPT):
         self.model = model
         self.ctx = mp.get_context('spawn')
+    def generate_bricks(
             self,
             prompt: str,
             do_not_save_data: bool,
         if max_regenerations is not None: self.model.max_regenerations = max_regenerations
         if seed is not None: transformers.set_seed(seed)
+        # Generate bricks
+        print(f'Generating bricks for prompt: "{prompt}"')
         start_time = time.time()
         output = self.model(prompt)
         os.makedirs(output_dir, exist_ok=True)
         ldr_filename = os.path.join(output_dir, f'{output_uuid}.ldr')
         with open(ldr_filename, 'w') as f:
+            f.write(output['bricks'].to_ldr())
         generation_time = time.time() - start_time
         print(f'Finished generation in {generation_time:.1f}s!')
+        # Render brick model to image
         print('Rendering image...')
         img_filename = os.path.join(output_dir, f'{output_uuid}.png')
+        subprocess.run(['python', 'render_bricks.py', '--in_file', ldr_filename, '--out_file', img_filename],
                        check=True)  # Run render as a subprocess to prevent issues with Blender
         rendering_time = time.time() - start_time - generation_time
         print(f'Finished rendering in {rendering_time:.1f}s!')
         # Save data persistently
         if not do_not_save_data:
+            data_dir = '/data/apun/brickgpt_demo_out'
             os.makedirs(data_dir, exist_ok=True)
             # Copy output image to persistent storage
                     'start_timestamp': time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(start_time)),
                     'generation_time': generation_time,
                     'rendering_time': rendering_time,
+                    'output_txt': output['bricks'].to_txt(),
                 }, f)
             print(f'Saved data to {metadata_filename}.')
+        return img_filename, output['bricks'].to_txt()
+    def generate_bricks_subprocess(self, *args) -> (str, str):
         """
         Run generation as a subprocess so that multiple requests can be handled concurrently.
         """
         with self.ctx.Pool(1) as pool:
+            return pool.starmap(self.generate_bricks, [args])[0]
 def get_help_string(field_name: str) -> str:
     """
+    :param field_name: Name of a field in BrickGPTConfig.
     :return: Help string for the field.
     """
+    data_fields = fields(BrickGPTConfig)
     name_field = next(f for f in data_fields if f.name == field_name)
     return name_field.metadata['help']

pyproject.toml CHANGED Viewed

@@ -1,14 +1,14 @@
 [project]
-name = "legogpt-demo"
 version = "0.1.0"
-description = "LegoGPT demo webapp"
 readme = "README.md"
 requires-python = ">=3.11"
 dependencies = [
     "bpy<=4.3.0", # lower version of bpy needed to run on Hugging Face A100
-    "gradio>=5.29.0",
-    "legogpt",
 ]
 [tool.uv.sources]
-legogpt = { git = "https://github.com/AvaLovelace1/LegoGPT.git" }

 [project]
+name = "brickgpt-demo"
 version = "0.1.0"
+description = "BrickGPT demo webapp"
 readme = "README.md"
 requires-python = ">=3.11"
 dependencies = [
     "bpy<=4.3.0", # lower version of bpy needed to run on Hugging Face A100
+    "gradio>=5.33.0",
+    "brickgpt",
 ]
 [tool.uv.sources]
+brickgpt = { git = "https://github.com/AvaLovelace1/BrickGPT.git" }

render_bricks.py ADDED Viewed

	@@ -0,0 +1,4 @@

+from brickgpt.render_bricks import main as render_bricks_main
+if __name__ == '__main__':
+    render_bricks_main()

render_lego.py DELETED Viewed

@@ -1,4 +0,0 @@
-from legogpt.render_lego import main as render_lego_main
-if __name__ == '__main__':
-    render_lego_main()

requirements.txt CHANGED Viewed

@@ -1,37 +1,38 @@
 # This file was autogenerated by uv via the following command:
 #    uv export --format requirements-txt --no-hashes
-accelerate==1.6.0
 aiofiles==24.1.0
 annotated-types==0.7.0
 anyio==4.9.0
 audioop-lts==0.2.1 ; python_full_version >= '3.13'
 bpy==4.3.0
 certifi==2025.4.26
 cffi==1.17.1 ; platform_python_implementation == 'PyPy'
 charset-normalizer==3.4.2
-click==8.1.8 ; sys_platform != 'emscripten'
 colorama==0.4.6 ; sys_platform == 'win32'
-cython==3.1.0
 fastapi==0.115.12
-ffmpy==0.5.0
 filelock==3.18.0
-fsspec==2025.3.0
-gradio==5.29.0
-gradio-client==1.10.0
 groovy==0.1.2
 gurobipy==12.0.2
 h11==0.16.0
 httpcore==1.0.9
 httpx==0.28.1
-huggingface-hub==0.30.2
 idna==3.10
 jinja2==3.1.6
-legogpt @ git+https://github.com/AvaLovelace1/LegoGPT.git@a9cd46d472f3a2218af965906bd7e273dfbb1841
 markdown-it-py==3.0.0 ; sys_platform != 'emscripten'
 markupsafe==3.0.2
 mdurl==0.1.2 ; sys_platform != 'emscripten'
 mpmath==1.3.0
-networkx==3.4.2
 numpy==1.26.4
 nvidia-cublas-cu12==12.6.4.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
 nvidia-cuda-cupti-cu12==12.6.80 ; platform_machine == 'x86_64' and sys_platform == 'linux'
@@ -49,12 +50,12 @@ nvidia-nvjitlink-cu12==12.6.85 ; platform_machine == 'x86_64' and sys_platform =
 nvidia-nvtx-cu12==12.6.77 ; platform_machine == 'x86_64' and sys_platform == 'linux'
 orjson==3.10.18
 packaging==25.0
-pandas==2.2.3
 peft==0.15.2
 pillow==11.2.1
 psutil==7.0.0
 pycparser==2.22 ; platform_python_implementation == 'PyPy'
-pydantic==2.11.4
 pydantic-core==2.33.2
 pydub==0.25.1
 pygments==2.19.1 ; sys_platform != 'emscripten'
@@ -65,11 +66,11 @@ pyyaml==6.0.2
 regex==2024.11.6
 requests==2.32.3
 rich==14.0.0 ; sys_platform != 'emscripten'
-ruff==0.11.8 ; sys_platform != 'emscripten'
 safehttpx==0.1.6
 safetensors==0.5.3
 semantic-version==2.10.0
-setuptools==80.4.0 ; (python_full_version >= '3.12' and platform_machine != 'x86_64') or (python_full_version >= '3.12' and sys_platform != 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')
 shellingham==1.5.4 ; sys_platform != 'emscripten'
 six==1.17.0
 sniffio==1.3.1
@@ -77,15 +78,15 @@ starlette==0.46.2
 sympy==1.14.0
 tokenizers==0.21.1
 tomlkit==0.13.2
-torch==2.7.0
 tqdm==4.67.1
-transformers==4.51.3
-triton==3.3.0 ; platform_machine == 'x86_64' and sys_platform == 'linux'
-typer==0.15.3 ; sys_platform != 'emscripten'
-typing-extensions==4.13.2
-typing-inspection==0.4.0
 tzdata==2025.2
 urllib3==2.4.0
-uvicorn==0.34.2 ; sys_platform != 'emscripten'
 websockets==15.0.1
 zstandard==0.23.0

 # This file was autogenerated by uv via the following command:
 #    uv export --format requirements-txt --no-hashes
+accelerate==1.7.0
 aiofiles==24.1.0
 annotated-types==0.7.0
 anyio==4.9.0
 audioop-lts==0.2.1 ; python_full_version >= '3.13'
 bpy==4.3.0
+brickgpt @ git+https://github.com/AvaLovelace1/BrickGPT.git@49eccccd630a84072f41646d2686190bc20d7771
 certifi==2025.4.26
 cffi==1.17.1 ; platform_python_implementation == 'PyPy'
 charset-normalizer==3.4.2
+click==8.2.1 ; sys_platform != 'emscripten'
 colorama==0.4.6 ; sys_platform == 'win32'
+cython==3.1.1
 fastapi==0.115.12
+ffmpy==0.6.0
 filelock==3.18.0
+fsspec==2025.5.1
+gradio==5.33.0
+gradio-client==1.10.2
 groovy==0.1.2
 gurobipy==12.0.2
 h11==0.16.0
+hf-xet==1.1.3 ; platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'
 httpcore==1.0.9
 httpx==0.28.1
+huggingface-hub==0.32.4
 idna==3.10
 jinja2==3.1.6
 markdown-it-py==3.0.0 ; sys_platform != 'emscripten'
 markupsafe==3.0.2
 mdurl==0.1.2 ; sys_platform != 'emscripten'
 mpmath==1.3.0
+networkx==3.5
 numpy==1.26.4
 nvidia-cublas-cu12==12.6.4.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
 nvidia-cuda-cupti-cu12==12.6.80 ; platform_machine == 'x86_64' and sys_platform == 'linux'
 nvidia-nvtx-cu12==12.6.77 ; platform_machine == 'x86_64' and sys_platform == 'linux'
 orjson==3.10.18
 packaging==25.0
+pandas==2.3.0
 peft==0.15.2
 pillow==11.2.1
 psutil==7.0.0
 pycparser==2.22 ; platform_python_implementation == 'PyPy'
+pydantic==2.11.5
 pydantic-core==2.33.2
 pydub==0.25.1
 pygments==2.19.1 ; sys_platform != 'emscripten'
 regex==2024.11.6
 requests==2.32.3
 rich==14.0.0 ; sys_platform != 'emscripten'
+ruff==0.11.12 ; sys_platform != 'emscripten'
 safehttpx==0.1.6
 safetensors==0.5.3
 semantic-version==2.10.0
+setuptools==80.9.0 ; (python_full_version >= '3.12' and platform_machine != 'x86_64') or (python_full_version >= '3.12' and sys_platform != 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')
 shellingham==1.5.4 ; sys_platform != 'emscripten'
 six==1.17.0
 sniffio==1.3.1
 sympy==1.14.0
 tokenizers==0.21.1
 tomlkit==0.13.2
+torch==2.7.1
 tqdm==4.67.1
+transformers==4.52.4
+triton==3.3.1 ; platform_machine == 'x86_64' and sys_platform == 'linux'
+typer==0.16.0 ; sys_platform != 'emscripten'
+typing-extensions==4.14.0
+typing-inspection==0.4.1
 tzdata==2025.2
 urllib3==2.4.0
+uvicorn==0.34.3 ; sys_platform != 'emscripten'
 websockets==15.0.1
 zstandard==0.23.0

uv.lock CHANGED Viewed

@@ -2,17 +2,14 @@ version = 1
 revision = 1
 requires-python = ">=3.11"
 resolution-markers = [
-    "python_full_version >= '3.13' and sys_platform == 'linux'",
-    "python_full_version >= '3.13' and sys_platform != 'linux'",
-    "python_full_version == '3.12.*' and sys_platform == 'linux'",
-    "python_full_version == '3.12.*' and sys_platform != 'linux'",
-    "python_full_version < '3.12' and sys_platform == 'linux'",
-    "python_full_version < '3.12' and sys_platform != 'linux'",
 ]
 [[package]]
 name = "accelerate"
-version = "1.6.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "huggingface-hub" },
@@ -23,9 +20,9 @@ dependencies = [
     { name = "safetensors" },
     { name = "torch" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/8a/6e/c29a1dcde7db07f47870ed63e5124086b11874ad52ccd533dc1ca2c799da/accelerate-1.6.0.tar.gz", hash = "sha256:28c1ef1846e690944f98b68dc7b8bb6c51d032d45e85dcbb3adb0c8b99dffb32", size = 363804 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/63/b1/8198e3cdd11a426b1df2912e3381018c4a4a55368f6d0857ba3ca418ef93/accelerate-1.6.0-py3-none-any.whl", hash = "sha256:1aee717d3d3735ad6d09710a7c26990ee4652b79b4e93df46551551b5227c2aa", size = 354748 },
 ]
 [[package]]
@@ -117,6 +114,36 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/7f/da/c255b626cab58c69c49f4a65d0410b36aa1086dc63862d1c3de653f0a5a0/bpy-4.3.0-cp311-cp311-win_amd64.whl", hash = "sha256:1a7b2c516aa7a95c31fcaae8842addd07fa86c1ce4768e88a34b480d17e2e93a", size = 333159335 },
 ]
 [[package]]
 name = "certifi"
 version = "2025.4.26"
@@ -221,14 +248,14 @@ wheels = [
 [[package]]
 name = "click"
-version = "8.1.8"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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