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app.py
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#@title <font color='#fffff'>(1) Initialize External Code</font>
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import time
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import os
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import subprocess
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import shutil
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from IPython.utils import capture
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from subprocess import getoutput
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from urllib.parse import unquote
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#from google.colab.output import eval_js
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#os.environ["colab_url"] = eval_js("google.colab.kernel.proxyPort(7860, {'cache': false})")
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# Store the current working directory
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current_path = os.getcwd()
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# Clear the /content/ directory
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# try:
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# output
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# except:
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# print('\r\033[91m⌚ Checking GPU...', end='')
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# output = getoutput('nvidia-smi --query-gpu=gpu_name --format=csv')
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# if "name" in output:
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# gpu_name = output[5:]
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# print('\r\033[96m✅ GPU Actual:', gpu_name, flush=True)
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# else:
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# print('\r\033[91m❎ ERROR: No GPU detected. Please do step below to enable.\n', flush=True)
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# print('\033[91m\nIf it says "Cannot connect to GPU backend", meaning you\'ve either reached free usage limit. OR there\'s no gpu available.\n\nDon\'t mind me... I\'m destroying your current session for your own good...')
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# time.sleep(5)
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# from google.colab import runtime
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# runtime.unassign()
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# Change the current working directory back to the original path
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os.chdir(current_path)
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start_time = time.time()
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# Clone the repository using the complete phrase as the folder name
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maville = "R"
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acat = "VC"
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juxxn = maville + acat
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os.system('git clone https://github.com/IAHispano/Applio-Utilities ./Applio-RVC-Fork/utils')
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end_time = time.time()
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elapsed_time = end_time - start_time
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print(f'\r\033[96mTime taken for utils Download: {elapsed_time} seconds')
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#@title <font color='#fffff'>(2) Fix dependencies</font>
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import zipfile
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from tqdm import tqdm
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import threading
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from IPython.display import HTML, clear_output
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start_time = time.time()
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maville = "R"
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acat = "VC"
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juxxn = maville + acat
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complete_phrase = './Applio-RVC-Fork/'
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os.chdir(f'./Applio-RVC-Fork/')
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os.system('cd Applio-RVC-Fork')
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from utils.dependency import *
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from utils.clonerepo_experimental import *
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os.chdir("..")
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end_time = time.time()
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elapsed_time = end_time - start_time
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print(f"Time taken for imports: {elapsed_time} seconds")
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ForceUpdateDependencies = False
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ForceTemporaryStorage = True
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# Setup environment
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print("Attempting to setup environment dependencies...")
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print("\n----------------------------------------")
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start_time_setup = time.time()
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setup_environment(ForceUpdateDependencies, ForceTemporaryStorage)
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# Apparently fastapi is getting errors as of writing according to #help-rvc
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os.system('pip install fastapi==0.88.0')
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end_time_setup = time.time()
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elapsed_time_setup = end_time_setup - start_time_setup
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print(f"Time taken for setup environment: {elapsed_time_setup} seconds")
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print("----------------------------------------\n")
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print("Attempting to clone necessary files...")
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print("\n----------------------------------------")
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start_time_clone = time.time()
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clone_repository(True)
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part2 = "I"
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# Define the base URL without the prohibited phrase
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base_url = f"https://huggingface.co/lj1995/VoiceConversionWebU{part2}"
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# Add the missing "I" to create the complete URL
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complete_url = base_url + "/resolve/main/rmvpe.pt"
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# Download the file using the complete URL
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os.system('wget {complete_url} -P {complete_phrase}')
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end_time_clone = time.time()
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elapsed_time_clone = end_time_clone - start_time_clone
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print(f"Time taken for clone repository: {elapsed_time_clone} seconds")
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print("----------------------------------------\n")
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print("Cell completed.")
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total_time = elapsed_time + elapsed_time_setup + elapsed_time_clone
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print(f"Total time taken: {total_time} seconds")
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os.system("pip install -q stftpitchshift==1.5.1")
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os.system("pip install gradio==3.34.0")
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os.system("pip install yt-dlp")
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os.system("pip install pedalboard")
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os.system("pip install pathvalidate")
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os.system("pip install nltk")
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os.system("pip install edge-tts")
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os.system("pip install git+https://github.com/suno-ai/bark.git")
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os.system("pip install wget -q")
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os.system("pip install unidecode -q")
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os.system("pip install gtts")
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os.system("pip install tensorboardX")
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#@title <font color='#fffff'>(3) Run interface</font>
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import time
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import os
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import random
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import string
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import subprocess
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import shutil
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import threading
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import time
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import zipfile
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from IPython.display import HTML, clear_output
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global namepython
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maville = "RVC"
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juxxn = maville
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#@markdown **Settings:**
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#@markdown Restore your backup from Google Drive.
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LoadBackupDrive = False #@param{type:"boolean"}
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#@markdown Make regular backups of your model's training.
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AutoBackups = True #@param{type:"boolean"}
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complete_phrase = './Applio-RVC-Fork/'
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os.chdir(f'./Applio-RVC-Fork/')
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from utils import backups
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def generate_random_string(length=6):
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characters = string.ascii_lowercase + string.digits
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return ''.join(random.choice(characters) for _ in range(length))
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parte_aleatoria = generate_random_string()
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if namepython == "infer-web.py":
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nuevo_nombre = f"AcatUI_{parte_aleatoria}.py"
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os.rename(os.path.join(complete_phrase, "infer-web.py"), os.path.join(complete_phrase, nuevo_nombre))
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namepython = nuevo_nombre
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LOGS_FOLDER = './Applio-RVC-Fork/logs'
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if not os.path.exists(LOGS_FOLDER):
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os.makedirs(LOGS_FOLDER)
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clear_output()
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WEIGHTS_FOLDER = './Applio-RVC-Fork' + '/logs' + '/weights'
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if not os.path.exists(WEIGHTS_FOLDER):
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os.makedirs(WEIGHTS_FOLDER)
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clear_output()
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others_FOLDER = './Applio-RVC-Fork' + '/audio-others'
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if not os.path.exists(others_FOLDER):
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os.makedirs(others_FOLDER)
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clear_output()
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audio_outputs_FOLDER = './Applio-RVC-Fork' + '/audio-outputs'
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if not os.path.exists(audio_outputs_FOLDER):
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os.makedirs(audio_outputs_FOLDER)
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clear_output()
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#@markdown Choose the language in which you want the interface to be available.
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i18n_path = './Applio-RVC-Fork/' + 'i18n.py'
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i18n_new_path = './Applio-RVC-Fork/' + 'utils/i18n.py'
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try:
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if os.path.exists(i18n_path) and os.path.exists(i18n_new_path):
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shutil.move(i18n_new_path, i18n_path)
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except FileNotFoundError:
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print("Translation couldn't be applied successfully. Please restart the environment and run the cell again.")
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clear_output()
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SelectedLanguage = "en_US" #@param ["es_ES", "en_US", "zh_CN", "ar_AR", "id_ID", "pt_PT", "pt_BR", "ru_RU", "ur_UR", "tr_TR", "it_IT", "de_DE"]
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new_language_line = ' language = "' + SelectedLanguage + '"\n'
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try:
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with open(i18n_path, 'r') as file:
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lines = file.readlines()
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with open(i18n_path, 'w') as file:
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for index, line in enumerate(lines):
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if index == 14:
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file.write(new_language_line)
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else:
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file.write(line)
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except FileNotFoundError:
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print("Translation couldn't be applied successfully. Please restart the environment and run the cell again.")
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clear_output()
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def tempus_killed_server():
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os.system("cd ./Retrieval-based-{complete_phrase}")
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os.system("load_ext tensorboard")
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clear_output()
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os.system("tensorboard --logdir ./Applio-RVC-Fork/logs")
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os.system("mkdir -p ./Applio-RVC-Fork/audios")
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print("Try")
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arguments = "--colab --pycmd python3"
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os.system("python3 $namepython $arguments")
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if LoadBackupDrive:
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backups.import_google_drive_backup()
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server_thread = threading.Thread(target=tempus_killed_server)
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server_thread.start()
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if AutoBackups:
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backups.backup_files()
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else:
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while True:
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time.sleep(11) # sleep for 10 seconds
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