Spaces:
Running
on
Zero
Running
on
Zero
File size: 3,355 Bytes
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import gradio as gr
import numpy as np
import random
import multiprocessing
import subprocess
import sys
import time
import signal
import json
import os
import requests
from loguru import logger
from decouple import config
from pathlib import Path
from PIL import Image
import io
URL = config('URL')
OUTPUT_DIR = config('OUTPUT_DIR')
INPUT_DIR = config('INPUT_DIR')
COMF_PATH = config('COMF_PATH')
import torch
#import spaces
print(f"Is CUDA available: {torch.cuda.is_available()}")
print(f"CUDA device: {torch.cuda.get_device_name(torch.cuda.current_device())}")
print(torch.version.cuda)
device = torch.cuda.get_device_name(torch.cuda.current_device())
print(device)
def get_latest_image(folder):
files = os.listdir(folder)
image_files = [f for f in files if f.lower().endswith(('.png', '.jpg', '.jpeg'))]
image_files.sort(key=lambda x: os.path.getmtime(os.path.join(folder, x)))
latest_image = os.path.join(folder, image_files[-1]) if image_files else None
return latest_image
def start_queue(prompt_workflow):
p = {"prompt": prompt_workflow}
data = json.dumps(p).encode('utf-8')
requests.post(URL, data=data)
def check_server_ready():
try:
response = requests.get(f"http://127.0.0.1:8188/history/123", timeout=5)
return response.status_code == 200
except requests.RequestException:
return False
#@spaces.GPU
def generate_image(prompt, image):
previous_image = get_latest_image(OUTPUT_DIR)
image = Image.fromarray(image)
image.save(OUTPUT_DIR+'/input.png', format='PNG')
# Запускаем скрипт как подпроцесс
process = subprocess.Popen([sys.executable, COMF_PATH, "--listen", "127.0.0.1"])
logger.debug(f'Subprocess started with PID: {process.pid}')
try:
# Ожидание запуска сервера
for _ in range(20): # Максимум 20 секунд ожидания
if check_server_ready(): # Вам нужно реализовать эту функцию
break
time.sleep(1)
else:
raise TimeoutError("Server did not start in time")
start_queue(prompt)
# Ожидание нового изображения
timeout = 400 # Максимальное время ожидания в секундах
start_time = time.time()
while time.time() - start_time < timeout:
latest_image = get_latest_image(OUTPUT_DIR)
if latest_image != previous_image:
return latest_image
time.sleep(1)
raise TimeoutError("New image was not generated in time")
except Exception as e:
logger.error(f"Error in generate_image: {e}")
raise
finally:
# Завершаем подпроцесс
if process.poll() is None:
process.terminate()
try:
process.wait(timeout=5)
except subprocess.TimeoutExpired:
process.kill()
logger.error("No new image was generated")
return None
if __name__ == "__main__":
demo = gr.Interface(fn=generate_image, inputs=["text", "image"], outputs=["image"])
demo.launch(debug=True)
logger.debug('demo.launch()')
logger.info("Основной скрипт завершил работу.") |