app.py

import gradio as gr
import subprocess
import os
import spaces

# def install_cuda_toolkit():
#     # CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run"
#     # CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda_12.2.0_535.54.03_linux.run"
#     CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/11.7.0/local_installers/cuda_11.7.0_515.43.04_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"] = "8.0;8.6"

# install_cuda_toolkit()

# from gradio_tabs.animation import animation
# from gradio_tabs.vid_edit import vid_edit

extensions_dir = "./torch_extension/"
os.environ["TORCH_EXTENSIONS_DIR"] = extensions_dir

from networks.generator import Generator

device = torch.device("cuda")
gen = Generator(size=512, motion_dim=40, scale=2).to(device)
gen.load_state_dict(torch.hub.load_state_dict_from_url(f"https://huggingface.co/YaohuiW/LIA-X/resolve/main/lia-x.pt"))
gen.eval()


def load_file(path):

	with open(path, 'r', encoding='utf-8') as f:
		content  = f.read()

	return content

custom_css = """
<style>
  body {
	font-family: Georgia, serif; /* Change to your desired font */
  }
  h1 {
	color: black; /* Change title color */
  }
</style>
"""


# def load_tabs():
# 	from gradio_tabs.animation import animation
# 	from gradio_tabs.vid_edit import vid_edit
    
# 	animation()
# 	vid_edit()


with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
	# ... (input/output setup remains unchanged)

	gr.HTML(load_file("assets/title.md"))
	with gr.Row():
		with gr.Accordion(open=False, label="Instruction"):
			gr.Markdown(load_file("assets/instruction.md"))
	
	with gr.Row():
		with gr.Tabs():
			from gradio_tabs.animation import animation
			from gradio_tabs.vid_edit import vid_edit
			animation(gen)
			vid_edit(gen)
			#load_tabs()
			#animation()
			#vid_edit()


#if __name__ == "__main__":	
    
demo.launch(
    server_name='0.0.0.0',
    #server_port=7803,
    #server_port=10008,
    share=True,
    allowed_paths=["./data/source","./data/driving"]
)