app.py

import shlex
import subprocess
import os
import sys
import logging
from pathlib import Path
from huggingface_hub import snapshot_download, HfHubError
import torch
import fire
import gradio as gr
from gradio_app.gradio_3dgen import create_ui as create_3d_ui
from gradio_app.all_models import model_zoo

# Set up logging
logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)

def setup_dependencies():
    """Install required packages with error handling"""
    try:
        logger.info("Installing dependencies...")
        subprocess.run(shlex.split("pip install pip==24.0"), check=True)
        
        # Define package paths
        packages = [
            "package/onnxruntime_gpu-1.17.0-cp310-cp310-manylinux_2_28_x86_64.whl",
            "package/nvdiffrast-0.3.1.torch-cp310-cp310-linux_x86_64.whl"
        ]
        
        # Check if package files exist
        for package in packages:
            if not Path(package).exists():
                raise FileNotFoundError(f"Package file not found: {package}")
            
            logger.info(f"Installing {package}")
            subprocess.run(
                shlex.split(f"pip install {package} --force-reinstall --no-deps"),
                check=True
            )
        
        logger.info("Dependencies installed successfully")
    except subprocess.CalledProcessError as e:
        logger.error(f"Failed to install dependencies: {str(e)}")
        raise
    except FileNotFoundError as e:
        logger.error(str(e))
        raise

def setup_model():
    """Download and set up model with error handling"""
    try:
        logger.info("Downloading model checkpoints...")
        
        # Create checkpoint directory if it doesn't exist
        ckpt_dir = Path("./ckpt")
        ckpt_dir.mkdir(parents=True, exist_ok=True)
        
        # Download model with retry mechanism
        max_retries = 3
        for attempt in range(max_retries):
            try:
                snapshot_download(
                    "public-data/Unique3D",
                    repo_type="model",
                    local_dir=str(ckpt_dir),
                    token=os.getenv("HF_TOKEN")  # Add token if needed
                )
                break
            except HfHubError as e:
                if attempt == max_retries - 1:
                    logger.error(f"Failed to download model after {max_retries} attempts: {str(e)}")
                    raise
                logger.warning(f"Download attempt {attempt + 1} failed, retrying...")
                continue
        
        logger.info("Model checkpoints downloaded successfully")
        
        # Configure PyTorch settings
        torch.set_float32_matmul_precision('medium')
        torch.backends.cuda.matmul.allow_tf32 = True
        torch.set_grad_enabled(False)
        
        logger.info("PyTorch configured successfully")
    except Exception as e:
        logger.error(f"Error during model setup: {str(e)}")
        raise

# Application title
_TITLE = 'Text to 3D'

def launch():
    """Launch the Gradio interface"""
    try:
        logger.info("Initializing models...")
        model_zoo.init_models()
        
        logger.info("Creating Gradio interface...")
        with gr.Blocks(title=_TITLE) as demo:
            with gr.Row():
                with gr.Column(scale=1):
                    gr.Markdown('# ' + _TITLE)
                    create_3d_ui("wkl")
            
            demo.queue().launch(share=True)
    except Exception as e:
        logger.error(f"Error launching application: {str(e)}")
        raise

if __name__ == '__main__':
    try:
        logger.info("Starting application setup...")
        setup_dependencies()
        sys.path.append(os.curdir)
        setup_model()
        fire.Fire(launch)
    except Exception as e:
        logger.error(f"Application startup failed: {str(e)}")
        sys.exit(1)