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Upload 3 files
Browse files- app.py +25 -0
- post_install.py +157 -0
- requirements.txt +3 -2
app.py
CHANGED
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@@ -17,6 +17,31 @@ packages_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'package
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if os.path.exists(packages_dir):
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sys.path.append(packages_dir)
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try:
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from loop import loop
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except ImportError as e:
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if os.path.exists(packages_dir):
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sys.path.append(packages_dir)
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# Check if complex dependencies are installed
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def check_complex_dependencies():
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"""Check if complex dependencies are available"""
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try:
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import torch_sparse
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import torch_scatter
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import nvdiffrast
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import pytorch3d
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return True
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except ImportError:
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return False
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# Run post-install if needed
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if not check_complex_dependencies():
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print("Complex dependencies not found, running post-install...")
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try:
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import subprocess
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subprocess.run([sys.executable, "post_install.py"], check=True)
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print("Post-install completed, restarting...")
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# Restart the process to pick up new dependencies
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os.execv(sys.executable, ['python'] + sys.argv)
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except Exception as e:
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print(f"Post-install failed: {e}")
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sys.exit(1)
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try:
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from loop import loop
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except ImportError as e:
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post_install.py
ADDED
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@@ -0,0 +1,157 @@
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#!/usr/bin/env python3
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"""
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Post-install script for Hugging Face Spaces
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This script installs complex dependencies that need PyTorch to be available first
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"""
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import os
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import sys
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import subprocess
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import shutil
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from pathlib import Path
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def run_command(command, cwd=None):
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"""Run a shell command and return the result"""
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print(f"Running: {command}")
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result = subprocess.run(command, shell=True, cwd=cwd, capture_output=True, text=True)
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if result.returncode != 0:
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print(f"Error running command: {command}")
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print(f"Error output: {result.stderr}")
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return False
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print(f"Success: {command}")
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return True
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def install_torch_sparse():
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"""Install torch-sparse with the current PyTorch version"""
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print("Installing torch-sparse...")
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# Get current PyTorch version
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try:
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import torch
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torch_version = torch.__version__
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print(f"Current PyTorch version: {torch_version}")
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# Extract major.minor version
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version_parts = torch_version.split('.')
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torch_major_minor = f"{version_parts[0]}.{version_parts[1]}"
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# Try to install torch-sparse with the correct version
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if not run_command(f"pip install torch-sparse -f https://data.pyg.org/whl/torch-{torch_major_minor}+cu121.html"):
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print("Failed to install torch-sparse with pre-built wheel, trying from source...")
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if not run_command("pip install torch-sparse"):
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return False
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return True
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except Exception as e:
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print(f"Error installing torch-sparse: {e}")
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return False
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def install_torch_scatter():
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"""Install torch-scatter with the current PyTorch version"""
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print("Installing torch-scatter...")
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try:
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import torch
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torch_version = torch.__version__
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version_parts = torch_version.split('.')
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torch_major_minor = f"{version_parts[0]}.{version_parts[1]}"
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if not run_command(f"pip install torch-scatter -f https://data.pyg.org/whl/torch-{torch_major_minor}+cu121.html"):
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print("Failed to install torch-scatter with pre-built wheel, trying from source...")
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if not run_command("pip install torch-scatter"):
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return False
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return True
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except Exception as e:
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print(f"Error installing torch-scatter: {e}")
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return False
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def install_nvdiffrast():
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"""Install nvdiffrast"""
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print("Installing nvdiffrast...")
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# Create packages directory if it doesn't exist
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packages_dir = Path("packages")
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packages_dir.mkdir(exist_ok=True)
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# Clone nvdiffrast
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if not (packages_dir / "nvdiffrast").exists():
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if not run_command("git clone https://github.com/NVlabs/nvdiffrast.git", cwd=packages_dir):
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return False
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# Install nvdiffrast
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nvdiffrast_dir = packages_dir / "nvdiffrast"
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if not run_command("pip install .", cwd=nvdiffrast_dir):
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return False
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return True
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def install_pytorch3d():
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"""Install PyTorch3D"""
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print("Installing PyTorch3D...")
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packages_dir = Path("packages")
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# Clone PyTorch3D
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if not (packages_dir / "pytorch3d").exists():
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if not run_command("git clone https://github.com/facebookresearch/pytorch3d.git", cwd=packages_dir):
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return False
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# Install PyTorch3D with CUDA support
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pytorch3d_dir = packages_dir / "pytorch3d"
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if not run_command("FORCE_CUDA=1 pip install .", cwd=pytorch3d_dir):
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return False
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return True
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def install_fashion_clip():
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"""Setup Fashion-CLIP"""
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print("Setting up Fashion-CLIP...")
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packages_dir = Path("packages")
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# Clone Fashion-CLIP if not already present
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if not (packages_dir / "fashion-clip").exists():
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if not run_command("git clone https://github.com/patrickjohncyh/fashion-clip.git", cwd=packages_dir):
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return False
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# Install Fashion-CLIP dependencies
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fashion_clip_dir = packages_dir / "fashion-clip"
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dependencies = ["appdirs", "boto3", "annoy", "validators", "transformers", "datasets"]
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for dep in dependencies:
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if not run_command(f"pip install {dep}", cwd=fashion_clip_dir):
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print(f"Warning: Failed to install {dep}")
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return True
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def main():
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"""Main installation function"""
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print("Starting post-installation for Garment3DGen...")
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# Install complex dependencies
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if not install_torch_sparse():
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print("Failed to install torch-sparse")
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sys.exit(1)
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if not install_torch_scatter():
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print("Failed to install torch-scatter")
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sys.exit(1)
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if not install_nvdiffrast():
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print("Failed to install nvdiffrast")
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sys.exit(1)
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if not install_pytorch3d():
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print("Failed to install PyTorch3D")
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sys.exit(1)
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if not install_fashion_clip():
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print("Failed to install Fashion-CLIP")
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sys.exit(1)
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print("Post-installation completed successfully!")
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print("All dependencies are now available.")
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if __name__ == "__main__":
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main()
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requirements.txt
CHANGED
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@@ -1,4 +1,5 @@
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-
# Core dependencies
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clip
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imageio
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cython
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@@ -33,5 +34,5 @@ boto3
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annoy
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validators
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-
# Note:
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# will be installed separately in the Dockerfile to ensure correct versions
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# Core dependencies - compatible with HF Spaces PyTorch 2.7.1
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# PyTorch will be installed by HF Spaces automatically
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clip
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imageio
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cython
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annoy
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validators
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# Note: torch-sparse, torch-scatter, pytorch3d, and nvdiffrast
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# will be installed separately in the Dockerfile to ensure correct versions
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