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UVR.py
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UVR.py
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# GUI modules
import audioread
import base64
import gui_data.sv_ttk
import hashlib
import json
import librosa
import logging
import math
import natsort
import onnx
import os
import pickle # Save Data
import psutil
from pyglet import font
import pyperclip
import base64
import queue
import re
import shutil
import subprocess
import sys
import soundfile as sf
import time
#import timeit
import tkinter as tk
import tkinter.filedialog
import tkinter.font
import tkinter.messagebox
import tkinter.ttk as ttk
import torch
import urllib.request
import webbrowser
import wget
import traceback
from __version__ import VERSION, PATCH, PATCH_MAC, PATCH_LINUX
from cryptography.fernet import Fernet
from cryptography.hazmat.primitives import hashes
from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
from datetime import datetime
from gui_data.app_size_values import ImagePath, AdjustedValues as av
from gui_data.constants import *
from gui_data.error_handling import error_text, error_dialouge
from gui_data.old_data_check import file_check, remove_unneeded_yamls, remove_temps
from gui_data.tkinterdnd2 import TkinterDnD, DND_FILES
from lib_v5.vr_network.model_param_init import ModelParameters
from kthread import KThread
from lib_v5 import spec_utils
from pathlib import Path
from separate import SeperateDemucs, SeperateMDX, SeperateVR, save_format
from playsound import playsound
from tkinter import *
from tkinter.tix import *
import re
from typing import List
import sys
import ssl
logging.basicConfig(format='%(asctime)s - %(message)s', level=logging.INFO)
logging.info('UVR BEGIN')
PREVIOUS_PATCH_WIN = 'UVR_Patch_1_12_23_14_54'
is_dnd_compatible = True
banner_placement = -2
if OPERATING_SYSTEM=="Darwin":
OPEN_FILE_func = lambda input_string:subprocess.Popen(["open", input_string])
dnd_path_check = MAC_DND_CHECK
banner_placement = -8
current_patch = PATCH_MAC
is_windows = False
right_click_button = '<Button-2>'
application_extension = ".dmg"
elif OPERATING_SYSTEM=="Linux":
OPEN_FILE_func = lambda input_string:subprocess.Popen(["open", input_string])
dnd_path_check = LINUX_DND_CHECK
current_patch = PATCH_LINUX
is_windows = False
right_click_button = '<Button-3>'
application_extension = ".zip"
elif OPERATING_SYSTEM=="Windows":
OPEN_FILE_func = lambda input_string:os.startfile(input_string)
dnd_path_check = WINDOWS_DND_CHECK
current_patch = PATCH
is_windows = True
right_click_button = '<Button-3>'
application_extension = ".exe"
def right_click_release_linux(window, top_win=None):
if OPERATING_SYSTEM=="Linux":
root.bind('<Button-1>', lambda e:window.destroy())
if top_win:
top_win.bind('<Button-1>', lambda e:window.destroy())
if not is_windows:
ssl._create_default_https_context = ssl._create_unverified_context
try:
with open(os.path.join(os.getcwd(), 'tmp', 'splash.txt'), 'w') as f:
f.write('1')
except:
print('No splash screen.')
def save_data(data):
"""
Saves given data as a .pkl (pickle) file
Paramters:
data(dict):
Dictionary containing all the necessary data to save
"""
# Open data file, create it if it does not exist
with open('data.pkl', 'wb') as data_file:
pickle.dump(data, data_file)
def load_data() -> dict:
"""
Loads saved pkl file and returns the stored data
Returns(dict):
Dictionary containing all the saved data
"""
try:
with open('data.pkl', 'rb') as data_file: # Open data file
data = pickle.load(data_file)
return data
except (ValueError, FileNotFoundError):
# Data File is corrupted or not found so recreate it
save_data(data=DEFAULT_DATA)
return load_data()
def load_model_hash_data(dictionary):
'''Get the model hash dictionary'''
with open(dictionary) as d:
data = d.read()
return json.loads(data)
# Change the current working directory to the directory
# this file sits in
if getattr(sys, 'frozen', False):
# If the application is run as a bundle, the PyInstaller bootloader
# extends the sys module by a flag frozen=True and sets the app
# path into variable _MEIPASS'.
BASE_PATH = sys._MEIPASS
else:
BASE_PATH = os.path.dirname(os.path.abspath(__file__))
os.chdir(BASE_PATH) # Change the current working directory to the base path
debugger = []
#--Constants--
#Models
MODELS_DIR = os.path.join(BASE_PATH, 'models')
VR_MODELS_DIR = os.path.join(MODELS_DIR, 'VR_Models')
MDX_MODELS_DIR = os.path.join(MODELS_DIR, 'MDX_Net_Models')
DEMUCS_MODELS_DIR = os.path.join(MODELS_DIR, 'Demucs_Models')
DEMUCS_NEWER_REPO_DIR = os.path.join(DEMUCS_MODELS_DIR, 'v3_v4_repo')
MDX_MIXER_PATH = os.path.join(BASE_PATH, 'lib_v5', 'mixer.ckpt')
#Cache & Parameters
VR_HASH_DIR = os.path.join(VR_MODELS_DIR, 'model_data')
VR_HASH_JSON = os.path.join(VR_MODELS_DIR, 'model_data', 'model_data.json')
MDX_HASH_DIR = os.path.join(MDX_MODELS_DIR, 'model_data')
MDX_HASH_JSON = os.path.join(MDX_MODELS_DIR, 'model_data', 'model_data.json')
DEMUCS_MODEL_NAME_SELECT = os.path.join(DEMUCS_MODELS_DIR, 'model_data', 'model_name_mapper.json')
MDX_MODEL_NAME_SELECT = os.path.join(MDX_MODELS_DIR, 'model_data', 'model_name_mapper.json')
ENSEMBLE_CACHE_DIR = os.path.join(BASE_PATH, 'gui_data', 'saved_ensembles')
SETTINGS_CACHE_DIR = os.path.join(BASE_PATH, 'gui_data', 'saved_settings')
VR_PARAM_DIR = os.path.join(BASE_PATH, 'lib_v5', 'vr_network', 'modelparams')
SAMPLE_CLIP_PATH = os.path.join(BASE_PATH, 'temp_sample_clips')
ENSEMBLE_TEMP_PATH = os.path.join(BASE_PATH, 'ensemble_temps')
#Style
ICON_IMG_PATH = os.path.join(BASE_PATH, 'gui_data', 'img', 'GUI-Icon.ico')
if not is_windows:
MAIN_ICON_IMG_PATH = os.path.join(BASE_PATH, 'gui_data', 'img', 'GUI-Icon.png')
FONT_PATH = os.path.join(BASE_PATH, 'gui_data', 'fonts', 'centurygothic', 'GOTHIC.TTF')#ensemble_temps
#Other
COMPLETE_CHIME = os.path.join(BASE_PATH, 'gui_data', 'complete_chime.wav')
FAIL_CHIME = os.path.join(BASE_PATH, 'gui_data', 'fail_chime.wav')
CHANGE_LOG = os.path.join(BASE_PATH, 'gui_data', 'change_log.txt')
SPLASH_DOC = os.path.join(BASE_PATH, 'tmp', 'splash.txt')
file_check(os.path.join(MODELS_DIR, 'Main_Models'), VR_MODELS_DIR)
file_check(os.path.join(DEMUCS_MODELS_DIR, 'v3_repo'), DEMUCS_NEWER_REPO_DIR)
remove_unneeded_yamls(DEMUCS_MODELS_DIR)
remove_temps(ENSEMBLE_TEMP_PATH)
remove_temps(SAMPLE_CLIP_PATH)
remove_temps(os.path.join(BASE_PATH, 'img'))
if not os.path.isdir(ENSEMBLE_TEMP_PATH):
os.mkdir(ENSEMBLE_TEMP_PATH)
if not os.path.isdir(SAMPLE_CLIP_PATH):
os.mkdir(SAMPLE_CLIP_PATH)
model_hash_table = {}
data = load_data()
def drop(event, accept_mode: str = 'files'):
"""Drag & Drop verification process"""
path = event.data
if accept_mode == 'folder':
path = path.replace('{', '').replace('}', '')
if not os.path.isdir(path):
tk.messagebox.showerror(parent=root,
title='Invalid Folder',
message='Your given export path is not a valid folder!')
return
# Set Variables
root.export_path_var.set(path)
elif accept_mode == 'files':
# Clean path text and set path to the list of paths
path = path.replace("{", "").replace("}", "")
for dnd_file in dnd_path_check:
path = path.replace(f" {dnd_file}", f";{dnd_file}")
path = path.split(';')
path[-1] = path[-1].replace(';', '')
# Set Variables
root.inputPaths = tuple(path)
root.process_input_selections()
root.update_inputPaths()
else:
# Invalid accept mode
return
class ModelData():
def __init__(self, model_name: str,
selected_process_method=ENSEMBLE_MODE,
is_secondary_model=False,
primary_model_primary_stem=None,
is_primary_model_primary_stem_only=False,
is_primary_model_secondary_stem_only=False,
is_pre_proc_model=False,
is_dry_check=False):
self.is_gpu_conversion = 0 if root.is_gpu_conversion_var.get() else -1
self.is_normalization = root.is_normalization_var.get()
self.is_primary_stem_only = root.is_primary_stem_only_var.get()
self.is_secondary_stem_only = root.is_secondary_stem_only_var.get()
self.is_denoise = root.is_denoise_var.get()
self.mdx_batch_size = 1 if root.mdx_batch_size_var.get() == DEF_OPT else int(root.mdx_batch_size_var.get())
self.is_mdx_ckpt = False
self.wav_type_set = root.wav_type_set
self.mp3_bit_set = root.mp3_bit_set_var.get()
self.save_format = root.save_format_var.get()
self.is_invert_spec = root.is_invert_spec_var.get()
self.is_mixer_mode = root.is_mixer_mode_var.get()
self.demucs_stems = root.demucs_stems_var.get()
self.demucs_source_list = []
self.demucs_stem_count = 0
self.mixer_path = MDX_MIXER_PATH
self.model_name = model_name
self.process_method = selected_process_method
self.model_status = False if self.model_name == CHOOSE_MODEL or self.model_name == NO_MODEL else True
self.primary_stem = None
self.secondary_stem = None
self.is_ensemble_mode = False
self.ensemble_primary_stem = None
self.ensemble_secondary_stem = None
self.primary_model_primary_stem = primary_model_primary_stem
self.is_secondary_model = is_secondary_model
self.secondary_model = None
self.secondary_model_scale = None
self.demucs_4_stem_added_count = 0
self.is_demucs_4_stem_secondaries = False
self.is_4_stem_ensemble = False
self.pre_proc_model = None
self.pre_proc_model_activated = False
self.is_pre_proc_model = is_pre_proc_model
self.is_dry_check = is_dry_check
self.model_samplerate = 44100
self.model_capacity = 32, 128
self.is_vr_51_model = False
self.is_demucs_pre_proc_model_inst_mix = False
self.manual_download_Button = None
self.secondary_model_4_stem = []
self.secondary_model_4_stem_scale = []
self.secondary_model_4_stem_names = []
self.secondary_model_4_stem_model_names_list = []
self.all_models = []
self.secondary_model_other = None
self.secondary_model_scale_other = None
self.secondary_model_bass = None
self.secondary_model_scale_bass = None
self.secondary_model_drums = None
self.secondary_model_scale_drums = None
if selected_process_method == ENSEMBLE_MODE:
partitioned_name = model_name.partition(ENSEMBLE_PARTITION)
self.process_method = partitioned_name[0]
self.model_name = partitioned_name[2]
self.model_and_process_tag = model_name
self.ensemble_primary_stem, self.ensemble_secondary_stem = root.return_ensemble_stems()
self.is_ensemble_mode = True if not is_secondary_model and not is_pre_proc_model else False
self.is_4_stem_ensemble = True if root.ensemble_main_stem_var.get() == FOUR_STEM_ENSEMBLE and self.is_ensemble_mode else False
self.pre_proc_model_activated = root.is_demucs_pre_proc_model_activate_var.get() if not self.ensemble_primary_stem == VOCAL_STEM else False
if self.process_method == VR_ARCH_TYPE:
self.is_secondary_model_activated = root.vr_is_secondary_model_activate_var.get() if not self.is_secondary_model else False
self.aggression_setting = float(int(root.aggression_setting_var.get())/100)
self.is_tta = root.is_tta_var.get()
self.is_post_process = root.is_post_process_var.get()
self.window_size = int(root.window_size_var.get())
self.batch_size = 1 if root.batch_size_var.get() == DEF_OPT else int(root.batch_size_var.get())
self.crop_size = int(root.crop_size_var.get())
self.is_high_end_process = 'mirroring' if root.is_high_end_process_var.get() else 'None'
self.post_process_threshold = float(root.post_process_threshold_var.get())
self.model_capacity = 32, 128
self.model_path = os.path.join(VR_MODELS_DIR, f"{self.model_name}.pth")
self.get_model_hash()
if self.model_hash:
self.model_data = self.get_model_data(VR_HASH_DIR, root.vr_hash_MAPPER) if not self.model_hash == WOOD_INST_MODEL_HASH else WOOD_INST_PARAMS
if self.model_data:
vr_model_param = os.path.join(VR_PARAM_DIR, "{}.json".format(self.model_data["vr_model_param"]))
self.primary_stem = self.model_data["primary_stem"]
self.secondary_stem = STEM_PAIR_MAPPER[self.primary_stem]
self.vr_model_param = ModelParameters(vr_model_param)
self.model_samplerate = self.vr_model_param.param['sr']
if "nout" in self.model_data.keys() and "nout_lstm" in self.model_data.keys():
self.model_capacity = self.model_data["nout"], self.model_data["nout_lstm"]
self.is_vr_51_model = True
else:
self.model_status = False
if self.process_method == MDX_ARCH_TYPE:
self.is_secondary_model_activated = root.mdx_is_secondary_model_activate_var.get() if not is_secondary_model else False
self.margin = int(root.margin_var.get())
self.chunks = root.determine_auto_chunks(root.chunks_var.get(), self.is_gpu_conversion) if root.is_chunk_mdxnet_var.get() else 0
self.get_mdx_model_path()
self.get_model_hash()
if self.model_hash:
self.model_data = self.get_model_data(MDX_HASH_DIR, root.mdx_hash_MAPPER)
if self.model_data:
self.compensate = self.model_data["compensate"] if root.compensate_var.get() == AUTO_SELECT else float(root.compensate_var.get())
self.mdx_dim_f_set = self.model_data["mdx_dim_f_set"]
self.mdx_dim_t_set = self.model_data["mdx_dim_t_set"]
self.mdx_n_fft_scale_set = self.model_data["mdx_n_fft_scale_set"]
self.primary_stem = self.model_data["primary_stem"]
self.secondary_stem = STEM_PAIR_MAPPER[self.primary_stem]
else:
self.model_status = False
if self.process_method == DEMUCS_ARCH_TYPE:
self.is_secondary_model_activated = root.demucs_is_secondary_model_activate_var.get() if not is_secondary_model else False
if not self.is_ensemble_mode:
self.pre_proc_model_activated = root.is_demucs_pre_proc_model_activate_var.get() if not root.demucs_stems_var.get() in [VOCAL_STEM, INST_STEM] else False
self.overlap = float(root.overlap_var.get())
self.margin_demucs = int(root.margin_demucs_var.get())
self.chunks_demucs = root.determine_auto_chunks(root.chunks_demucs_var.get(), self.is_gpu_conversion)
self.shifts = int(root.shifts_var.get())
self.is_split_mode = root.is_split_mode_var.get()
self.segment = root.segment_var.get()
self.is_chunk_demucs = root.is_chunk_demucs_var.get()
self.is_demucs_combine_stems = root.is_demucs_combine_stems_var.get()
self.is_primary_stem_only = root.is_primary_stem_only_var.get() if self.is_ensemble_mode else root.is_primary_stem_only_Demucs_var.get()
self.is_secondary_stem_only = root.is_secondary_stem_only_var.get() if self.is_ensemble_mode else root.is_secondary_stem_only_Demucs_var.get()
self.get_demucs_model_path()
self.get_demucs_model_data()
self.model_basename = os.path.splitext(os.path.basename(self.model_path))[0] if self.model_status else None
self.pre_proc_model_activated = self.pre_proc_model_activated if not self.is_secondary_model else False
self.is_primary_model_primary_stem_only = is_primary_model_primary_stem_only
self.is_primary_model_secondary_stem_only = is_primary_model_secondary_stem_only
if self.is_secondary_model_activated and self.model_status:
if (not self.is_ensemble_mode and root.demucs_stems_var.get() == ALL_STEMS and self.process_method == DEMUCS_ARCH_TYPE) or self.is_4_stem_ensemble:
for key in DEMUCS_4_SOURCE_LIST:
self.secondary_model_data(key)
self.secondary_model_4_stem.append(self.secondary_model)
self.secondary_model_4_stem_scale.append(self.secondary_model_scale)
self.secondary_model_4_stem_names.append(key)
self.demucs_4_stem_added_count = sum(i is not None for i in self.secondary_model_4_stem)
self.is_secondary_model_activated = False if all(i is None for i in self.secondary_model_4_stem) else True
self.demucs_4_stem_added_count = self.demucs_4_stem_added_count - 1 if self.is_secondary_model_activated else self.demucs_4_stem_added_count
if self.is_secondary_model_activated:
self.secondary_model_4_stem_model_names_list = [None if i is None else i.model_basename for i in self.secondary_model_4_stem]
self.is_demucs_4_stem_secondaries = True
else:
primary_stem = self.ensemble_primary_stem if self.is_ensemble_mode and self.process_method == DEMUCS_ARCH_TYPE else self.primary_stem
self.secondary_model_data(primary_stem)
if self.process_method == DEMUCS_ARCH_TYPE and not is_secondary_model:
if self.demucs_stem_count >= 3 and self.pre_proc_model_activated:
self.pre_proc_model_activated = True
self.pre_proc_model = root.process_determine_demucs_pre_proc_model(self.primary_stem)
self.is_demucs_pre_proc_model_inst_mix = root.is_demucs_pre_proc_model_inst_mix_var.get() if self.pre_proc_model else False
def secondary_model_data(self, primary_stem):
secondary_model_data = root.process_determine_secondary_model(self.process_method, primary_stem, self.is_primary_stem_only, self.is_secondary_stem_only)
self.secondary_model = secondary_model_data[0]
self.secondary_model_scale = secondary_model_data[1]
self.is_secondary_model_activated = False if not self.secondary_model else True
if self.secondary_model:
self.is_secondary_model_activated = False if self.secondary_model.model_basename == self.model_basename else True
def get_mdx_model_path(self):
if self.model_name.endswith(CKPT):
# self.chunks = 0
# self.is_mdx_batch_mode = True
self.is_mdx_ckpt = True
ext = '' if self.is_mdx_ckpt else ONNX
for file_name, chosen_mdx_model in root.mdx_name_select_MAPPER.items():
if self.model_name in chosen_mdx_model:
self.model_path = os.path.join(MDX_MODELS_DIR, f"{file_name}{ext}")
break
else:
self.model_path = os.path.join(MDX_MODELS_DIR, f"{self.model_name}{ext}")
self.mixer_path = os.path.join(MDX_MODELS_DIR, f"mixer_val.ckpt")
def get_demucs_model_path(self):
demucs_newer = [True for x in DEMUCS_NEWER_TAGS if x in self.model_name]
demucs_model_dir = DEMUCS_NEWER_REPO_DIR if demucs_newer else DEMUCS_MODELS_DIR
for file_name, chosen_model in root.demucs_name_select_MAPPER.items():
if self.model_name in chosen_model:
self.model_path = os.path.join(demucs_model_dir, file_name)
break
else:
self.model_path = os.path.join(DEMUCS_NEWER_REPO_DIR, f'{self.model_name}.yaml')
def get_demucs_model_data(self):
self.demucs_version = DEMUCS_V4
for key, value in DEMUCS_VERSION_MAPPER.items():
if value in self.model_name:
self.demucs_version = key
self.demucs_source_list = DEMUCS_2_SOURCE if DEMUCS_UVR_MODEL in self.model_name else DEMUCS_4_SOURCE
self.demucs_source_map = DEMUCS_2_SOURCE_MAPPER if DEMUCS_UVR_MODEL in self.model_name else DEMUCS_4_SOURCE_MAPPER
self.demucs_stem_count = 2 if DEMUCS_UVR_MODEL in self.model_name else 4
if not self.is_ensemble_mode:
self.primary_stem = PRIMARY_STEM if self.demucs_stems == ALL_STEMS else self.demucs_stems
self.secondary_stem = STEM_PAIR_MAPPER[self.primary_stem]
def get_model_data(self, model_hash_dir, hash_mapper):
model_settings_json = os.path.join(model_hash_dir, "{}.json".format(self.model_hash))
if os.path.isfile(model_settings_json):
return json.load(open(model_settings_json))
else:
for hash, settings in hash_mapper.items():
if self.model_hash in hash:
return settings
else:
return self.get_model_data_from_popup()
def get_model_data_from_popup(self):
if not self.is_dry_check:
confirm = tk.messagebox.askyesno(title=UNRECOGNIZED_MODEL[0],
message=f"\"{self.model_name}\"{UNRECOGNIZED_MODEL[1]}",
parent=root)
if confirm:
if self.process_method == VR_ARCH_TYPE:
root.pop_up_vr_param(self.model_hash)
return root.vr_model_params
if self.process_method == MDX_ARCH_TYPE:
root.pop_up_mdx_model(self.model_hash, self.model_path)
return root.mdx_model_params
else:
return None
else:
return None
def get_model_hash(self):
self.model_hash = None
if not os.path.isfile(self.model_path):
self.model_status = False
self.model_hash is None
else:
if model_hash_table:
for (key, value) in model_hash_table.items():
if self.model_path == key:
self.model_hash = value
break
if not self.model_hash:
try:
with open(self.model_path, 'rb') as f:
f.seek(- 10000 * 1024, 2)
self.model_hash = hashlib.md5(f.read()).hexdigest()
except:
self.model_hash = hashlib.md5(open(self.model_path,'rb').read()).hexdigest()
table_entry = {self.model_path: self.model_hash}
model_hash_table.update(table_entry)
class Ensembler():
def __init__(self, is_manual_ensemble=False):
self.is_save_all_outputs_ensemble = root.is_save_all_outputs_ensemble_var.get()
chosen_ensemble_name = '{}'.format(root.chosen_ensemble_var.get().replace(" ", "_")) if not root.chosen_ensemble_var.get() == CHOOSE_ENSEMBLE_OPTION else 'Ensembled'
ensemble_algorithm = root.ensemble_type_var.get().partition("/")
ensemble_main_stem_pair = root.ensemble_main_stem_var.get().partition("/")
time_stamp = round(time.time())
self.audio_tool = MANUAL_ENSEMBLE
self.main_export_path = Path(root.export_path_var.get())
self.chosen_ensemble = f"_{chosen_ensemble_name}" if root.is_append_ensemble_name_var.get() else ''
ensemble_folder_name = self.main_export_path if self.is_save_all_outputs_ensemble else ENSEMBLE_TEMP_PATH
self.ensemble_folder_name = os.path.join(ensemble_folder_name, '{}_Outputs_{}'.format(chosen_ensemble_name, time_stamp))
self.is_testing_audio = f"{time_stamp}_" if root.is_testing_audio_var.get() else ''
self.primary_algorithm = ensemble_algorithm[0]
self.secondary_algorithm = ensemble_algorithm[2]
self.ensemble_primary_stem = ensemble_main_stem_pair[0]
self.ensemble_secondary_stem = ensemble_main_stem_pair[2]
self.is_normalization = root.is_normalization_var.get()
self.wav_type_set = root.wav_type_set
self.mp3_bit_set = root.mp3_bit_set_var.get()
self.save_format = root.save_format_var.get()
if not is_manual_ensemble:
os.mkdir(self.ensemble_folder_name)
def ensemble_outputs(self, audio_file_base, export_path, stem, is_4_stem=False, is_inst_mix=False):
"""Processes the given outputs and ensembles them with the chosen algorithm"""
if is_4_stem:
algorithm = root.ensemble_type_var.get()
stem_tag = stem
else:
if is_inst_mix:
algorithm = self.secondary_algorithm
stem_tag = f"{self.ensemble_secondary_stem} {INST_STEM}"
else:
algorithm = self.primary_algorithm if stem == PRIMARY_STEM else self.secondary_algorithm
stem_tag = self.ensemble_primary_stem if stem == PRIMARY_STEM else self.ensemble_secondary_stem
stem_outputs = self.get_files_to_ensemble(folder=export_path, prefix=audio_file_base, suffix=f"_({stem_tag}).wav")
audio_file_output = f"{self.is_testing_audio}{audio_file_base}{self.chosen_ensemble}_({stem_tag})"
stem_save_path = os.path.join('{}'.format(self.main_export_path),'{}.wav'.format(audio_file_output))
if stem_outputs:
spec_utils.ensemble_inputs(stem_outputs, algorithm, self.is_normalization, self.wav_type_set, stem_save_path)
save_format(stem_save_path, self.save_format, self.mp3_bit_set)
if self.is_save_all_outputs_ensemble:
for i in stem_outputs:
save_format(i, self.save_format, self.mp3_bit_set)
else:
for i in stem_outputs:
try:
os.remove(i)
except Exception as e:
print(e)
def ensemble_manual(self, audio_inputs, audio_file_base, is_bulk=False):
"""Processes the given outputs and ensembles them with the chosen algorithm"""
is_mv_sep = True
if is_bulk:
number_list = list(set([os.path.basename(i).split("_")[0] for i in audio_inputs]))
for n in number_list:
current_list = [i for i in audio_inputs if os.path.basename(i).startswith(n)]
audio_file_base = os.path.basename(current_list[0]).split('.wav')[0]
stem_testing = "instrum" if "Instrumental" in audio_file_base else "vocals"
if is_mv_sep:
audio_file_base = audio_file_base.split("_")
audio_file_base = f"{audio_file_base[1]}_{audio_file_base[2]}_{stem_testing}"
self.ensemble_manual_process(current_list, audio_file_base, is_bulk)
else:
self.ensemble_manual_process(audio_inputs, audio_file_base, is_bulk)
def ensemble_manual_process(self, audio_inputs, audio_file_base, is_bulk):
algorithm = root.choose_algorithm_var.get()
algorithm_text = "" if is_bulk else f"_({root.choose_algorithm_var.get()})"
stem_save_path = os.path.join('{}'.format(self.main_export_path),'{}{}{}.wav'.format(self.is_testing_audio, audio_file_base, algorithm_text))
spec_utils.ensemble_inputs(audio_inputs, algorithm, self.is_normalization, self.wav_type_set, stem_save_path)
save_format(stem_save_path, self.save_format, self.mp3_bit_set)
def get_files_to_ensemble(self, folder="", prefix="", suffix=""):
"""Grab all the files to be ensembled"""
return [os.path.join(folder, i) for i in os.listdir(folder) if i.startswith(prefix) and i.endswith(suffix)]
class AudioTools():
def __init__(self, audio_tool):
time_stamp = round(time.time())
self.audio_tool = audio_tool
self.main_export_path = Path(root.export_path_var.get())
self.wav_type_set = root.wav_type_set
self.is_normalization = root.is_normalization_var.get()
self.is_testing_audio = f"{time_stamp}_" if root.is_testing_audio_var.get() else ''
self.save_format = lambda save_path:save_format(save_path, root.save_format_var.get(), root.mp3_bit_set_var.get())
def align_inputs(self, audio_inputs, audio_file_base, audio_file_2_base, command_Text):
audio_file_base = f"{self.is_testing_audio}{audio_file_base}"
audio_file_2_base = f"{self.is_testing_audio}{audio_file_2_base}"
aligned_path = os.path.join('{}'.format(self.main_export_path),'{}_aligned.wav'.format(audio_file_2_base))
inverted_path = os.path.join('{}'.format(self.main_export_path),'{}_inverted.wav'.format(audio_file_base))
spec_utils.align_audio(audio_inputs[0], audio_inputs[1], aligned_path, inverted_path, self.wav_type_set, self.is_normalization, command_Text, root.progress_bar_main_var, self.save_format)
def pitch_or_time_shift(self, audio_file, audio_file_base):
rate = float(root.time_stretch_rate_var.get()) if self.audio_tool == TIME_STRETCH else float(root.pitch_rate_var.get())
is_pitch = False if self.audio_tool == TIME_STRETCH else True
file_text = TIME_TEXT if self.audio_tool == TIME_STRETCH else PITCH_TEXT
save_path = os.path.join(self.main_export_path, f"{self.is_testing_audio}{audio_file_base}{file_text}.wav")
spec_utils.augment_audio(save_path, audio_file, rate, self.is_normalization, self.wav_type_set, self.save_format, is_pitch=is_pitch)
class ToolTip(object):
def __init__(self, widget):
self.widget = widget
self.tipwindow = None
self.id = None
self.x = self.y = 0
def showtip(self, text):
"Display text in tooltip window"
self.text = text
if self.tipwindow or not self.text:
return
x, y, cx, cy = self.widget.bbox("insert")
x = x + self.widget.winfo_rootx() + 57
y = y + cy + self.widget.winfo_rooty() +27
self.tipwindow = tw = Toplevel(self.widget)
tw.wm_overrideredirect(1)
tw.wm_geometry("+%d+%d" % (x, y))
label = Label(tw, text=self.text, justify=LEFT,
background="#333333", foreground="#ffffff", highlightcolor="#898b8e", relief=SOLID, borderwidth=1,
font=(MAIN_FONT_NAME, f"{FONT_SIZE_1}", "normal"))#('Century Gothic', FONT_SIZE_4)
label.pack(ipadx=1)
def hidetip(self):
tw = self.tipwindow
self.tipwindow = None
if tw:
tw.destroy()
class ThreadSafeConsole(tk.Text):
"""
Text Widget which is thread safe for tkinter
"""
def __init__(self, master, **options):
tk.Text.__init__(self, master, **options)
self.queue = queue.Queue()
self.update_me()
def write(self, line):
self.queue.put(line)
def clear(self):
self.queue.put(None)
def update_me(self):
self.configure(state=tk.NORMAL)
try:
while 1:
line = self.queue.get_nowait()
if line is None:
self.delete(1.0, tk.END)
else:
self.insert(tk.END, str(line))
self.see(tk.END)
self.update_idletasks()
except queue.Empty:
pass
self.configure(state=tk.DISABLED)
self.after(100, self.update_me)
def copy_text(self):
hightlighted_text = self.selection_get()
self.clipboard_clear()
self.clipboard_append(hightlighted_text)
def select_all_text(self):
self.tag_add('sel', '1.0', 'end')
class MainWindow(TkinterDnD.Tk if is_dnd_compatible else tk.Tk):
# --Constants--
# Layout
IMAGE_HEIGHT = av.IMAGE_HEIGHT
FILEPATHS_HEIGHT = av.FILEPATHS_HEIGHT
OPTIONS_HEIGHT = av.OPTIONS_HEIGHT
CONVERSIONBUTTON_HEIGHT = av.CONVERSIONBUTTON_HEIGHT
COMMAND_HEIGHT = av.COMMAND_HEIGHT
PROGRESS_HEIGHT = av.PROGRESS_HEIGHT
PADDING = av.PADDING
COL1_ROWS = 11
COL2_ROWS = 11
def __init__(self):
#Run the __init__ method on the tk.Tk class
super().__init__()
gui_data.sv_ttk.set_theme("dark")
gui_data.sv_ttk.use_dark_theme() # Set dark theme
# Calculate window height
height = self.IMAGE_HEIGHT + self.FILEPATHS_HEIGHT + self.OPTIONS_HEIGHT
height += self.CONVERSIONBUTTON_HEIGHT + self.COMMAND_HEIGHT + self.PROGRESS_HEIGHT
height += self.PADDING * 5 # Padding
width = 680
self.main_window_width = width
self.main_window_height = height
# --Window Settings--
self.title('Ultimate Vocal Remover')
# Set Geometry and Center Window
self.geometry('{width}x{height}+{xpad}+{ypad}'.format(
width=self.main_window_width,
height=height,
xpad=int(self.winfo_screenwidth()/2 - width/2),
ypad=int(self.winfo_screenheight()/2 - height/2 - 30)))
self.iconbitmap(ICON_IMG_PATH) if is_windows else self.tk.call('wm', 'iconphoto', self._w, tk.PhotoImage(file=MAIN_ICON_IMG_PATH))
self.configure(bg='#0e0e0f') # Set background color to #0c0c0d
self.protocol("WM_DELETE_WINDOW", self.save_values)
self.resizable(False, False)
self.update()
#Load Images
img = ImagePath(BASE_PATH)
self.logo_img = img.open_image(path=img.banner_path, size=(self.winfo_width(), 9999))
self.efile_img = img.efile_img
self.stop_img = img.stop_img
self.help_img = img.help_img
self.download_img = img.download_img
self.donate_img = img.donate_img
self.key_img = img.key_img
self.credits_img = img.credits_img
#Placeholders
self.error_log_var = tk.StringVar(value='')
self.vr_secondary_model_names = []
self.mdx_secondary_model_names = []
self.demucs_secondary_model_names = []
self.vr_primary_model_names = []
self.mdx_primary_model_names = []
self.demucs_primary_model_names = []
self.vr_cache_source_mapper = {}
self.mdx_cache_source_mapper = {}
self.demucs_cache_source_mapper = {}
# -Tkinter Value Holders-
try:
self.load_saved_vars(data)
except Exception as e:
self.error_log_var.set(error_text('Loading Saved Variables', e))
self.load_saved_vars(DEFAULT_DATA)
self.cached_sources_clear()
self.method_mapper = {
VR_ARCH_PM: self.vr_model_var,
MDX_ARCH_TYPE: self.mdx_net_model_var,
DEMUCS_ARCH_TYPE: self.demucs_model_var}
self.vr_secondary_model_vars = {'voc_inst_secondary_model': self.vr_voc_inst_secondary_model_var,
'other_secondary_model': self.vr_other_secondary_model_var,
'bass_secondary_model': self.vr_bass_secondary_model_var,
'drums_secondary_model': self.vr_drums_secondary_model_var,
'is_secondary_model_activate': self.vr_is_secondary_model_activate_var,
'voc_inst_secondary_model_scale': self.vr_voc_inst_secondary_model_scale_var,
'other_secondary_model_scale': self.vr_other_secondary_model_scale_var,
'bass_secondary_model_scale': self.vr_bass_secondary_model_scale_var,
'drums_secondary_model_scale': self.vr_drums_secondary_model_scale_var}
self.demucs_secondary_model_vars = {'voc_inst_secondary_model': self.demucs_voc_inst_secondary_model_var,
'other_secondary_model': self.demucs_other_secondary_model_var,
'bass_secondary_model': self.demucs_bass_secondary_model_var,
'drums_secondary_model': self.demucs_drums_secondary_model_var,
'is_secondary_model_activate': self.demucs_is_secondary_model_activate_var,
'voc_inst_secondary_model_scale': self.demucs_voc_inst_secondary_model_scale_var,
'other_secondary_model_scale': self.demucs_other_secondary_model_scale_var,
'bass_secondary_model_scale': self.demucs_bass_secondary_model_scale_var,
'drums_secondary_model_scale': self.demucs_drums_secondary_model_scale_var}
self.mdx_secondary_model_vars = {'voc_inst_secondary_model': self.mdx_voc_inst_secondary_model_var,
'other_secondary_model': self.mdx_other_secondary_model_var,
'bass_secondary_model': self.mdx_bass_secondary_model_var,
'drums_secondary_model': self.mdx_drums_secondary_model_var,
'is_secondary_model_activate': self.mdx_is_secondary_model_activate_var,
'voc_inst_secondary_model_scale': self.mdx_voc_inst_secondary_model_scale_var,
'other_secondary_model_scale': self.mdx_other_secondary_model_scale_var,
'bass_secondary_model_scale': self.mdx_bass_secondary_model_scale_var,
'drums_secondary_model_scale': self.mdx_drums_secondary_model_scale_var}
#Main Application Vars
self.progress_bar_main_var = tk.IntVar(value=0)
self.inputPathsEntry_var = tk.StringVar(value='')
self.conversion_Button_Text_var = tk.StringVar(value=START_PROCESSING)
self.chosen_ensemble_var = tk.StringVar(value=CHOOSE_ENSEMBLE_OPTION)
self.ensemble_main_stem_var = tk.StringVar(value=CHOOSE_STEM_PAIR)
self.ensemble_type_var = tk.StringVar(value=MAX_MIN)
self.save_current_settings_var = tk.StringVar(value=SELECT_SAVED_SET)
self.demucs_stems_var = tk.StringVar(value=ALL_STEMS)
self.is_primary_stem_only_Text_var = tk.StringVar(value='')
self.is_secondary_stem_only_Text_var = tk.StringVar(value='')
self.is_primary_stem_only_Demucs_Text_var = tk.StringVar(value='')
self.is_secondary_stem_only_Demucs_Text_var = tk.StringVar(value='')
self.scaling_var = tk.DoubleVar(value=1.0)
self.active_processing_thread = None
self.verification_thread = None
self.is_menu_settings_open = False
self.is_open_menu_advanced_vr_options = tk.BooleanVar(value=False)
self.is_open_menu_advanced_demucs_options = tk.BooleanVar(value=False)
self.is_open_menu_advanced_mdx_options = tk.BooleanVar(value=False)
self.is_open_menu_advanced_ensemble_options = tk.BooleanVar(value=False)
self.is_open_menu_view_inputs = tk.BooleanVar(value=False)
self.is_open_menu_help = tk.BooleanVar(value=False)
self.is_open_menu_error_log = tk.BooleanVar(value=False)
self.mdx_model_params = None
self.vr_model_params = None
self.current_text_box = None
self.wav_type_set = None
self.is_online_model_menu = None
self.progress_bar_var = tk.IntVar(value=0)
self.is_confirm_error_var = tk.BooleanVar(value=False)
self.clear_cache_torch = False
self.vr_hash_MAPPER = load_model_hash_data(VR_HASH_JSON)
self.mdx_hash_MAPPER = load_model_hash_data(MDX_HASH_JSON)
self.mdx_name_select_MAPPER = load_model_hash_data(MDX_MODEL_NAME_SELECT)
self.demucs_name_select_MAPPER = load_model_hash_data(DEMUCS_MODEL_NAME_SELECT)
self.is_gpu_available = torch.cuda.is_available() if not OPERATING_SYSTEM == 'Darwin' else torch.backends.mps.is_available()
self.is_process_stopped = False
self.inputs_from_dir = []
self.iteration = 0
self.vr_primary_source = None
self.vr_secondary_source = None
self.mdx_primary_source = None
self.mdx_secondary_source = None
self.demucs_primary_source = None
self.demucs_secondary_source = None
#Download Center Vars
self.online_data = {}
self.is_online = False
self.lastest_version = ''
self.model_download_demucs_var = tk.StringVar(value='')
self.model_download_mdx_var = tk.StringVar(value='')
self.model_download_vr_var = tk.StringVar(value='')
self.selected_download_var = tk.StringVar(value=NO_MODEL)
self.select_download_var = tk.StringVar(value='')
self.download_progress_info_var = tk.StringVar(value='')
self.download_progress_percent_var = tk.StringVar(value='')
self.download_progress_bar_var = tk.IntVar(value=0)
self.download_stop_var = tk.StringVar(value='')
self.app_update_status_Text_var = tk.StringVar(value='')
self.app_update_button_Text_var = tk.StringVar(value='')
self.user_code_validation_var = tk.StringVar(value='')
self.download_link_path_var = tk.StringVar(value='')
self.download_save_path_var = tk.StringVar(value='')
self.download_update_link_var = tk.StringVar(value='')
self.download_update_path_var = tk.StringVar(value='')
self.download_demucs_models_list = []
self.download_demucs_newer_models = []
self.refresh_list_Button = None
self.stop_download_Button_DISABLE = None
self.enable_tabs = None
self.is_download_thread_active = False
self.is_process_thread_active = False
self.is_active_processing_thread = False
self.active_download_thread = None
# Font
font.add_file(FONT_PATH)
self.font = tk.font.Font(family=MAIN_FONT_NAME, size=FONT_SIZE_F1)
self.font_smaller = tk.font.Font(family=MAIN_FONT_NAME, size=FONT_SIZE_F2)
self.fontRadio = tk.font.Font(family=MAIN_FONT_NAME, size=FONT_SIZE_F3)
#Model Update
self.last_found_ensembles = ENSEMBLE_OPTIONS
self.last_found_settings = ENSEMBLE_OPTIONS
self.last_found_models = ()
self.model_data_table = ()
self.ensemble_model_list = ()
# --Widgets--
self.fill_main_frame()
self.bind_widgets()
# --Update Widgets--
self.update_available_models()
self.update_main_widget_states()
self.update_loop()
self.update_button_states()
self.delete_temps()
self.download_validate_code()
self.ensemble_listbox_Option.configure(state=tk.DISABLED)
self.command_Text.write(f'Ultimate Vocal Remover {VERSION} [{datetime.now().strftime("%Y-%m-%d %H:%M:%S")}]')
self.update_checkbox_text = lambda:self.selection_action_process_method(self.chosen_process_method_var.get())
self.online_data_refresh(user_refresh=False)
# Menu Functions
def main_window_LABEL_SET(self, master, text):return ttk.Label(master=master, text=text, background='#0e0e0f', font=self.font_smaller, foreground='#13849f', anchor=tk.CENTER)
def menu_title_LABEL_SET(self, frame, text, width=35):return ttk.Label(master=frame, text=text, font=(MAIN_FONT_NAME, f"{FONT_SIZE_5}", "underline"), justify="center", foreground="#13849f", width=width, anchor=tk.CENTER)
def menu_sub_LABEL_SET(self, frame, text, font_size=FONT_SIZE_2):return ttk.Label(master=frame, text=text, font=(MAIN_FONT_NAME, f"{font_size}"), foreground='#13849f', anchor=tk.CENTER)
def menu_FRAME_SET(self, frame, thickness=20):return Frame(frame, highlightbackground='#0e0e0f', highlightcolor='#0e0e0f', highlightthicknes=thickness)
def check_is_menu_settings_open(self):self.menu_settings() if not self.is_menu_settings_open else None
def check_is_open_menu_advanced_vr_options(self):
try:
if not self.is_open_menu_advanced_vr_options.get():
self.menu_advanced_vr_options()
else:
self.menu_advanced_vr_options_close_window()
self.menu_advanced_vr_options()
except Exception as e:
self.error_log_var.set("{}".format(error_text('VR Menu', e)))
def check_is_open_menu_advanced_demucs_options(self):
try:
if not self.is_open_menu_advanced_demucs_options.get():
self.menu_advanced_demucs_options()
else:
self.menu_advanced_demucs_options_close_window()
self.menu_advanced_demucs_options()
except Exception as e:
self.error_log_var.set("{}".format(error_text('Demucs Menu', e)))
def check_is_open_menu_advanced_mdx_options(self):
try:
if not self.is_open_menu_advanced_mdx_options.get():
self.menu_advanced_mdx_options()
else:
self.menu_advanced_mdx_options_close_window()
self.menu_advanced_mdx_options()
except Exception as e:
self.error_log_var.set("{}".format(error_text('MDX-Net Menu', e)))
def check_is_open_menu_advanced_ensemble_options(self):
try:
if not self.is_open_menu_advanced_ensemble_options.get():
self.menu_advanced_ensemble_options()
else:
self.menu_advanced_ensemble_options_close_window()
self.menu_advanced_ensemble_options()
except Exception as e:
self.error_log_var.set("{}".format(error_text('Ensemble Menu', e)))
def check_is_open_menu_help(self):
if not self.is_open_menu_help.get():
self.menu_help()
else:
self.menu_help_close_window()
self.menu_help()
def check_is_open_menu_error_log(self):
if not self.is_open_menu_error_log.get():
self.menu_error_log()
else:
self.menu_error_log_close_window()
self.menu_error_log()
def check_is_open_menu_view_inputs(self):
try:
if not self.is_open_menu_view_inputs.get():
self.menu_view_inputs()
else:
self.menu_view_inputs_close_window()
self.menu_view_inputs()
except Exception as e:
self.error_log_var.set("{}".format(error_text('Inputs Menu', e)))
#Ensemble Listbox Functions
def ensemble_listbox_get_all_selected_models(self):return [self.ensemble_listbox_Option.get(i) for i in self.ensemble_listbox_Option.curselection()]
def ensemble_listbox_select_from_indexs(self, indexes):return [self.ensemble_listbox_Option.selection_set(i) for i in indexes]
def ensemble_listbox_clear_and_insert_new(self, model_ensemble_updated):return (self.ensemble_listbox_Option.delete(0, 'end'), [self.ensemble_listbox_Option.insert(tk.END, models) for models in model_ensemble_updated])
def ensemble_listbox_get_indexes_for_files(self, updated, selected):return [updated.index(model) for model in selected if model in updated]
def process_iteration(self):
self.iteration = self.iteration + 1
def assemble_model_data(self, model=None, arch_type=ENSEMBLE_MODE, is_dry_check=False):
if arch_type == ENSEMBLE_STEM_CHECK: