app.py

import spaces
import argparse
import gradio as gr
import os
import torch
import trimesh
import sys
from pathlib import Path

pathdir = Path(__file__).parent / 'cube'
sys.path.append(pathdir.as_posix())

# print(__file__)
# print(os.listdir())
# print(os.listdir('cube'))
# print(pathdir.as_posix())

from cube3d.inference.engine import EngineFast, Engine
from cube3d.inference.utils import normalize_bbox
from pathlib import Path
import uuid
import shutil
from huggingface_hub import snapshot_download

from cube3d.mesh_utils.postprocessing import (
    PYMESHLAB_AVAILABLE,
    create_pymeshset,
    postprocess_mesh,
    save_mesh,
)


GLOBAL_STATE = {}

def gen_save_folder(max_size=200):
    os.makedirs(GLOBAL_STATE["SAVE_DIR"], exist_ok=True)

    dirs = [f for f in Path(GLOBAL_STATE["SAVE_DIR"]).iterdir() if f.is_dir()]

    if len(dirs) >= max_size:
        oldest_dir = min(dirs, key=lambda x: x.stat().st_ctime)
        shutil.rmtree(oldest_dir)
        print(f"Removed the oldest folder: {oldest_dir}")

    new_folder = os.path.join(GLOBAL_STATE["SAVE_DIR"], str(uuid.uuid4()))
    os.makedirs(new_folder, exist_ok=True)
    print(f"Created new folder: {new_folder}")

    return new_folder

@spaces.GPU
def handle_text_prompt(input_prompt, bbox_option="No Bounding Box", bbox_x=1.0, bbox_y=1.0, bbox_z=1.0, hi_res=False):
    print(f"prompt: {input_prompt}, bbox_option: {bbox_option}, bbox_x: {bbox_x}, bbox_y: {bbox_y}, bbox_z: {bbox_z}, hi_res: {hi_res}")

    if "engine_fast" not in GLOBAL_STATE: 
        config_path = GLOBAL_STATE["config_path"]
        gpt_ckpt_path = "./model_weights/shape_gpt.safetensors"
        shape_ckpt_path = "./model_weights/shape_tokenizer.safetensors"
        engine_fast = EngineFast(
            config_path,
            gpt_ckpt_path, 
            shape_ckpt_path,
            device=torch.device("cuda"),
        )
        GLOBAL_STATE["engine_fast"] = engine_fast

    # Determine bounding box size based on option
    bbox_size = None
    if bbox_option == "1x1x1":
        bbox_size = [1.0, 1.0, 1.0]
    elif bbox_option == "1x2x1":
        bbox_size = [1.0, 2.0, 1.0]
    elif bbox_option == "2x3x1":
        bbox_size = [2.0, 3.0, 1.0]
    elif bbox_option == "Custom":
        bbox_size = [bbox_x, bbox_y, bbox_z]
    # For "No Bounding Box", bbox_size remains None
    
    normalized_bbox = normalize_bbox(bbox_size) if bbox_size is not None else None

    resolution_base = 8.5 if hi_res else 8.0
    mesh_v_f = GLOBAL_STATE["engine_fast"].t2s([input_prompt], use_kv_cache=True, resolution_base=resolution_base, bounding_box_xyz=normalized_bbox)
    # save output
    vertices, faces = mesh_v_f[0][0], mesh_v_f[0][1]

    ms = create_pymeshset(vertices, faces)
    target_face_num = max(10000, int(faces.shape[0] * 0.1))
    print(f"Postprocessing mesh to {target_face_num} faces")
    postprocess_mesh(ms, target_face_num)
    mesh = ms.current_mesh()
    vertices = mesh.vertex_matrix()
    faces = mesh.face_matrix()

    save_folder = gen_save_folder()
    output_path = os.path.join(save_folder, "output.glb")
    trimesh.Trimesh(vertices=vertices, faces=faces).export(output_path)
    return output_path

def build_interface():
    """Build UI for gradio app
    """
    title = "Cube 3D"
    with gr.Blocks(theme=gr.themes.Soft(), title=title, fill_width=True) as interface:
        gr.Markdown(
            f"""
            # {title}
            # Check out our [Github](https://github.com/Roblox/cube) to try it on your own machine!
            """
        )

        with gr.Row():
            with gr.Column(scale=2):
                with gr.Group():
                    input_text_box = gr.Textbox(
                        value=None,
                        label="Prompt",
                        lines=2,
                    )
                    bbox_option = gr.Dropdown(
                        label="Bounding Box",
                        choices=["No Bounding Box", "1x1x1", "1x2x1", "2x3x1", "Custom"],
                        value="No Bounding Box"
                    )
                    with gr.Group(visible=False) as bbox_group:
                        bbox_x = gr.Slider(minimum=0.1, maximum=2.0, step=0.1, value=1.0, label="Bbox X")
                        bbox_y = gr.Slider(minimum=0.1, maximum=2.0, step=0.1, value=1.0, label="Bbox Y")
                        bbox_z = gr.Slider(minimum=0.1, maximum=2.0, step=0.1, value=1.0, label="Bbox Z")
                    
                    # Show/hide bbox sliders based on dropdown
                    def toggle_bbox_visibility(bbox_option):
                        return gr.Group(visible=bbox_option == "Custom")
                    
                    bbox_option.change(
                        toggle_bbox_visibility,
                        inputs=[bbox_option],
                        outputs=[bbox_group]
                    )
                    hi_res = gr.Checkbox(label="Hi-Res", value=False)
                with gr.Row():
                    submit_button = gr.Button("Submit", variant="primary")
            with gr.Column(scale=3):
                model3d = gr.Model3D(
                    label="Output", height="45em", interactive=False
                )
    
        submit_button.click(
            handle_text_prompt,
            inputs=[
                input_text_box,
                bbox_option,
                bbox_x,
                bbox_y,
                bbox_z,
                hi_res
            ],
            outputs=[
                model3d
            ]
        )
                
    return interface

def generate(args):
    GLOBAL_STATE["config_path"] = args.config_path
    GLOBAL_STATE["SAVE_DIR"] = args.save_dir
    os.makedirs(GLOBAL_STATE["SAVE_DIR"], exist_ok=True)

    demo = build_interface()
    demo.queue(default_concurrency_limit=1)
    demo.launch(share=True)

if __name__=="__main__":

    parser = argparse.ArgumentParser()
    parser.add_argument(
        "--config_path",
        type=str,
        help="Path to the config file",
        default="cube/cube3d/configs/open_model_v0.5.yaml",
    )
    parser.add_argument(
        "--gpt_ckpt_path",
        type=str,
        help="Path to the gpt ckpt path",
        default="model_weights/shape_gpt.safetensors",
    )
    parser.add_argument(
        "--shape_ckpt_path",
        type=str,
        help="Path to the shape ckpt path",
        default="model_weights/shape_tokenizer.safetensors",
    )
    parser.add_argument(
        "--save_dir",
        type=str,
        default="gradio_save_dir",
    )

    args = parser.parse_args()
    snapshot_download(
        repo_id="Roblox/cube3d-v0.5",
        local_dir="./model_weights"
    )
    generate(args)