app.py

import gradio as gr
import spaces
import torch
import gdown
import os
import setup_environment
import zipfile
import sys
from setup_environment import initialize_environment
from download import download_files_from_url

zero = torch.Tensor([0]).cuda()
print(zero.device) # <-- 'cpu' 🤔

download_files_from_url()

initialize_environment()


sys.path.append('/home/user/.local/lib/python3.10/site-packages')
sys.path.append('/home/user/.local/lib/python3.10/site-packages/stf_alternative/src/stf_alternative')
sys.path.append('/home/user/.local/lib/python3.10/site-packages/stf_tools/src/stf_tools')
sys.path.append('/tmp/')
sys.path.append('/tmp/stf/')
sys.path.append('/tmp/stf/stf_alternative/')
sys.path.append('/tmp/stf/stf_alternative/src/stf_alternative')



# CUDA 경로를 환경 변수로 설정
os.environ['PATH'] = '/usr/local/cuda/bin:' + os.environ.get('PATH', '')
os.environ['LD_LIBRARY_PATH'] = '/usr/local/cuda/lib64:' + os.environ.get('LD_LIBRARY_PATH', '')
# 확인용 출력
print("PATH:", os.environ['PATH'])
print("LD_LIBRARY_PATH:", os.environ['LD_LIBRARY_PATH'])
    
from stf_utils import STFPipeline

stf_pipeline = STFPipeline()


@spaces.GPU(duration=120)
def gpu_wrapped_stf_pipeline_execute(audio_path):
    return stf_pipeline.execute(audio_path)


driving_video_path=gr.Video()

with gr.Blocks(theme=gr.themes.Soft()) as demo:
    audio_path_component = gr.Audio(label="Upload or Record an audio", type="filepath")
    stf_button = gr.Button("stf test", variant="primary")
    driving_video_path.render()
    
    stf_button.click(
                fn=gpu_wrapped_stf_pipeline_execute,
                inputs=[
                    audio_path_component
                ],
                outputs=[driving_video_path]
            )




# @spaces.GPU
# def greet(n):
#     print(zero.device) # <-- 'cuda:0' 🤗
#     return f"Hello {zero + n} Tensor"



#demo = gr.Interface(fn=greet, inputs=gr.Number(), outputs=gr.Text())
demo.launch()