app.py

import spaces
import os
import subprocess
import tempfile
import uuid
import glob
import shutil
import time
import gradio as gr
import sys
from PIL import Image

# Set environment variables
os.environ["PIXEL3DMM_CODE_BASE"] = f"{os.getcwd()}"
os.environ["PIXEL3DMM_PREPROCESSED_DATA"] = f"{os.getcwd()}/proprocess_results"
os.environ["PIXEL3DMM_TRACKING_OUTPUT"] = f"{os.getcwd()}/tracking_results"

def sh(cmd): subprocess.check_call(cmd, shell=True)


sh("pip install -e .")
sh("cd src/pixel3dmm/preprocessing/facer && pip install -e .")
sh("cd src/pixel3dmm/preprocessing/PIPNet/FaceBoxesV2/utils && sh make.sh")


def install_cuda_toolkit():
    CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/12.1.0/local_installers/cuda_12.1.0_530.30.02_linux.run"
    CUDA_TOOLKIT_FILE = "/tmp/%s" % os.path.basename(CUDA_TOOLKIT_URL)
    subprocess.call(["wget", "-q", CUDA_TOOLKIT_URL, "-O", CUDA_TOOLKIT_FILE])
    subprocess.call(["chmod", "+x", CUDA_TOOLKIT_FILE])
    subprocess.call([CUDA_TOOLKIT_FILE, "--silent", "--toolkit"])

    os.environ["CUDA_HOME"] = "/usr/local/cuda"
    os.environ["PATH"] = "%s/bin:%s" % (os.environ["CUDA_HOME"], os.environ["PATH"])
    os.environ["LD_LIBRARY_PATH"] = "%s/lib:%s" % (
        os.environ["CUDA_HOME"],
        "" if "LD_LIBRARY_PATH" not in os.environ else os.environ["LD_LIBRARY_PATH"],
    )
    # Fix: arch_list[-1] += '+PTX'; IndexError: list index out of range
    os.environ["TORCH_CUDA_ARCH_LIST"] = "9.0"
    print("==> finished installation")
    
install_cuda_toolkit()

sh("python app_photo.py")