AICoverGen / src /main.py
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import spaces
import torch
import argparse
import gc
import hashlib
import json
import os
import shlex
import subprocess
from contextlib import suppress
from urllib.parse import urlparse, parse_qs
import gradio as gr
import librosa
import numpy as np
import soundfile as sf
import sox
import yt_dlp
from pedalboard import Pedalboard, Reverb, Compressor, HighpassFilter
from pedalboard.io import AudioFile
from pydub import AudioSegment
from mdx import run_mdx
from rvc import Config, load_hubert, get_vc, rvc_infer
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
mdxnet_models_dir = os.path.join(BASE_DIR, 'mdxnet_models')
rvc_models_dir = os.path.join(BASE_DIR, 'rvc_models')
output_dir = os.path.join(BASE_DIR, 'song_output')
def get_youtube_video_id(url, ignore_playlist=True):
"""
Examples:
http://youtu.be/SA2iWivDJiE
http://www.youtube.com/watch?v=_oPAwA_Udwc&feature=feedu
http://www.youtube.com/embed/SA2iWivDJiE
http://www.youtube.com/v/SA2iWivDJiE?version=3&hl=en_US
"""
if "m.youtube.com" in url:
url = url.replace("m.youtube.com", "www.youtube.com")
query = urlparse(url)
if query.hostname == 'youtu.be':
if query.path[1:] == 'watch':
return query.query[2:]
return query.path[1:]
if query.hostname in {'www.youtube.com', 'youtube.com', 'music.youtube.com'}:
if not ignore_playlist:
# use case: get playlist id not current video in playlist
with suppress(KeyError):
return parse_qs(query.query)['list'][0]
if query.path == '/watch':
return parse_qs(query.query)['v'][0]
if query.path[:7] == '/watch/':
return query.path.split('/')[1]
if query.path[:7] == '/embed/':
return query.path.split('/')[2]
if query.path[:3] == '/v/':
return query.path.split('/')[2]
# returns None for invalid YouTube url
return None
def yt_download(link):
ydl_opts = {
'format': 'bestaudio',
'outtmpl': '%(title)s',
'nocheckcertificate': True,
'ignoreerrors': True,
'no_warnings': True,
'quiet': True,
'extractaudio': True,
'postprocessors': [{'key': 'FFmpegExtractAudio', 'preferredcodec': 'mp3'}],
}
with yt_dlp.YoutubeDL(ydl_opts) as ydl:
result = ydl.extract_info(link, download=True)
download_path = ydl.prepare_filename(result, outtmpl='%(title)s.mp3')
return download_path
def raise_exception(error_msg, is_webui):
if is_webui:
raise gr.Error(error_msg)
else:
raise Exception(error_msg)
def get_rvc_model(voice_model, is_webui):
rvc_model_filename, rvc_index_filename = None, None
model_dir = os.path.join(rvc_models_dir, voice_model)
print(model_dir)
for file in os.listdir(model_dir):
print(file)
if os.path.isdir(file):
for ff in os.listdir(file):
print("subfile", ff)
ext = os.path.splitext(ff)[1]
if ext == '.pth':
rvc_model_filename = ff
if ext == '.index':
rvc_index_filename = ff
ext = os.path.splitext(file)[1]
if ext == '.pth':
rvc_model_filename = file
if ext == '.index':
rvc_index_filename = file
if rvc_model_filename is None:
error_msg = f'No model file exists in {model_dir}.'
raise_exception(error_msg, is_webui)
return os.path.join(model_dir, rvc_model_filename), os.path.join(model_dir, rvc_index_filename) if rvc_index_filename else ''
def get_audio_paths(song_dir):
orig_song_path = None
instrumentals_path = None
main_vocals_dereverb_path = None
backup_vocals_path = None
for file in os.listdir(song_dir):
if file.endswith('_Instrumental.wav'):
instrumentals_path = os.path.join(song_dir, file)
orig_song_path = instrumentals_path.replace('_Instrumental', '')
elif file.endswith('_Vocals_Main_DeReverb.wav'):
main_vocals_dereverb_path = os.path.join(song_dir, file)
elif file.endswith('_Vocals_Backup.wav'):
backup_vocals_path = os.path.join(song_dir, file)
return orig_song_path, instrumentals_path, main_vocals_dereverb_path, backup_vocals_path
def convert_to_stereo(audio_path):
wave, sr = librosa.load(audio_path, mono=False, sr=44100)
# check if mono
if type(wave[0]) != np.ndarray:
stereo_path = f'{os.path.splitext(audio_path)[0]}_stereo.wav'
command = shlex.split(f'ffmpeg -y -loglevel error -i "{audio_path}" -ac 2 -f wav "{stereo_path}"')
subprocess.run(command)
return stereo_path
else:
return audio_path
def pitch_shift(audio_path, pitch_change):
output_path = f'{os.path.splitext(audio_path)[0]}_p{pitch_change}.wav'
if not os.path.exists(output_path):
y, sr = sf.read(audio_path)
tfm = sox.Transformer()
tfm.pitch(pitch_change)
y_shifted = tfm.build_array(input_array=y, sample_rate_in=sr)
sf.write(output_path, y_shifted, sr)
return output_path
def get_hash(filepath):
with open(filepath, 'rb') as f:
file_hash = hashlib.blake2b()
while chunk := f.read(8192):
file_hash.update(chunk)
return file_hash.hexdigest()[:11]
def display_progress(message, percent, is_webui, progress=None):
if is_webui:
progress(percent, desc=message)
else:
print(message)
def preprocess_song(song_input, mdx_model_params, song_id, is_webui, input_type, progress, keep_orig, orig_song_path):
song_output_dir = os.path.join(output_dir, song_id)
display_progress('[~] Separating Vocals from Instrumental...', 0.1, is_webui, progress)
vocals_path, instrumentals_path = run_mdx(mdx_model_params, song_output_dir, os.path.join(mdxnet_models_dir, 'UVR-MDX-NET-Voc_FT.onnx'), orig_song_path, denoise=True, keep_orig=keep_orig)
display_progress('[~] Separating Main Vocals from Backup Vocals...', 0.2, is_webui, progress)
backup_vocals_path, main_vocals_path = run_mdx(mdx_model_params, song_output_dir, os.path.join(mdxnet_models_dir, 'UVR_MDXNET_KARA_2.onnx'), vocals_path, suffix='Backup', invert_suffix='Main', denoise=True)
display_progress('[~] Applying DeReverb to Vocals...', 0.3, is_webui, progress)
_, main_vocals_dereverb_path = run_mdx(mdx_model_params, song_output_dir, os.path.join(mdxnet_models_dir, 'Reverb_HQ_By_FoxJoy.onnx'), main_vocals_path, invert_suffix='DeReverb', exclude_main=True, denoise=True)
return orig_song_path, vocals_path, instrumentals_path, main_vocals_path, backup_vocals_path, main_vocals_dereverb_path
def get_audio_file(song_input, is_webui, input_type, progress):
keep_orig = False
if input_type == 'yt':
display_progress('[~] Downloading song...', 0, is_webui, progress)
song_link = song_input.split('&')[0]
orig_song_path = yt_download(song_link)
elif input_type == 'local':
orig_song_path = song_input
keep_orig = True
else:
orig_song_path = None
return keep_orig, orig_song_path
# @spaces.GPU(enable_queue=True)
def voice_change(voice_model, vocals_path, output_path, pitch_change, f0_method, index_rate, filter_radius, rms_mix_rate, protect, crepe_hop_length, is_webui):
rvc_model_path, rvc_index_path = get_rvc_model(voice_model, is_webui)
device = "cuda:0" if torch.cuda.is_available() else "cpu"
compute_half = True if torch.cuda.is_available() else False
config = Config(device, compute_half)
hubert_model = load_hubert(device, config.is_half, os.path.join(rvc_models_dir, 'hubert_base.pt'))
cpt, version, net_g, tgt_sr, vc = get_vc(device, config.is_half, config, rvc_model_path)
# convert main vocals
rvc_infer(rvc_index_path, index_rate, vocals_path, output_path, pitch_change, f0_method, cpt, version, net_g, filter_radius, tgt_sr, rms_mix_rate, protect, crepe_hop_length, vc, hubert_model)
del hubert_model, cpt
gc.collect()
def add_audio_effects(audio_path, reverb_rm_size, reverb_wet, reverb_dry, reverb_damping):
output_path = f'{os.path.splitext(audio_path)[0]}_mixed.wav'
# Initialize audio effects plugins
board = Pedalboard(
[
HighpassFilter(),
Compressor(ratio=4, threshold_db=-15),
Reverb(room_size=reverb_rm_size, dry_level=reverb_dry, wet_level=reverb_wet, damping=reverb_damping)
]
)
with AudioFile(audio_path) as f:
with AudioFile(output_path, 'w', f.samplerate, f.num_channels) as o:
# Read one second of audio at a time, until the file is empty:
while f.tell() < f.frames:
chunk = f.read(int(f.samplerate))
effected = board(chunk, f.samplerate, reset=False)
o.write(effected)
return output_path
def combine_audio(audio_paths, output_path, main_gain, backup_gain, inst_gain, output_format):
main_vocal_audio = AudioSegment.from_wav(audio_paths[0]) - 4 + main_gain
backup_vocal_audio = AudioSegment.from_wav(audio_paths[1]) - 6 + backup_gain
instrumental_audio = AudioSegment.from_wav(audio_paths[2]) - 7 + inst_gain
main_vocal_audio.overlay(backup_vocal_audio).overlay(instrumental_audio).export(output_path, format=output_format)
# @spaces.GPU(enable_queue=True, duration=130)
@spaces.GPU(duration=160)
def process_song(
song_dir, song_input, mdx_model_params, song_id, is_webui, input_type, progress,
keep_files, pitch_change, pitch_change_all, voice_model, index_rate, filter_radius,
rms_mix_rate, protect, f0_method, crepe_hop_length, output_format, keep_orig, orig_song_path
):
if not os.path.exists(song_dir):
os.makedirs(song_dir)
orig_song_path, vocals_path, instrumentals_path, main_vocals_path, backup_vocals_path, main_vocals_dereverb_path = preprocess_song(song_input, mdx_model_params, song_id, is_webui, input_type, progress, keep_orig, orig_song_path)
else:
vocals_path, main_vocals_path = None, None
paths = get_audio_paths(song_dir)
# if any of the audio files aren't available or keep intermediate files, rerun preprocess
if any(path is None for path in paths) or keep_files:
orig_song_path, vocals_path, instrumentals_path, main_vocals_path, backup_vocals_path, main_vocals_dereverb_path = preprocess_song(song_input, mdx_model_params, song_id, is_webui, input_type, progress, keep_orig, orig_song_path)
else:
orig_song_path, instrumentals_path, main_vocals_dereverb_path, backup_vocals_path = paths
pitch_change = pitch_change * 12 + pitch_change_all
ai_vocals_path = os.path.join(song_dir, f'{os.path.splitext(os.path.basename(orig_song_path))[0]}_{voice_model}_p{pitch_change}_i{index_rate}_fr{filter_radius}_rms{rms_mix_rate}_pro{protect}_{f0_method}{"" if f0_method != "mangio-crepe" else f"_{crepe_hop_length}"}.wav')
ai_cover_path = os.path.join(song_dir, f'{os.path.splitext(os.path.basename(orig_song_path))[0]} ({voice_model} Ver).{output_format}')
if not os.path.exists(ai_vocals_path):
display_progress('[~] Converting voice using RVC...', 0.5, is_webui, progress)
voice_change(voice_model, main_vocals_dereverb_path, ai_vocals_path, pitch_change, f0_method, index_rate, filter_radius, rms_mix_rate, protect, crepe_hop_length, is_webui)
return ai_vocals_path, ai_cover_path, instrumentals_path, backup_vocals_path, vocals_path, main_vocals_path
# @spaces.GPU(duration=140)
def song_cover_pipeline(song_input, voice_model, pitch_change, keep_files,
is_webui=0, main_gain=0, backup_gain=0, inst_gain=0, index_rate=0.5, filter_radius=3,
rms_mix_rate=0.25, f0_method='rmvpe', crepe_hop_length=128, protect=0.33, pitch_change_all=0,
reverb_rm_size=0.15, reverb_wet=0.2, reverb_dry=0.8, reverb_damping=0.7, output_format='mp3',
progress=gr.Progress()):
try:
if not song_input or not voice_model:
raise_exception('Ensure that the song input field and voice model field is filled.', is_webui)
display_progress('[~] Starting AI Cover Generation Pipeline...', 0, is_webui, progress)
with open(os.path.join(mdxnet_models_dir, 'model_data.json')) as infile:
mdx_model_params = json.load(infile)
# if youtube url
if urlparse(song_input).scheme == 'https':
input_type = 'yt'
song_id = get_youtube_video_id(song_input)
if song_id is None:
error_msg = 'Invalid YouTube url.'
raise_exception(error_msg, is_webui)
# local audio file
else:
input_type = 'local'
song_input = song_input.strip('\"')
if os.path.exists(song_input):
song_id = get_hash(song_input)
else:
error_msg = f'{song_input} does not exist.'
song_id = None
raise_exception(error_msg, is_webui)
song_dir = os.path.join(output_dir, song_id)
keep_orig, orig_song_path = get_audio_file(song_input, is_webui, input_type, progress)
orig_song_path = convert_to_stereo(orig_song_path)
(
ai_vocals_path,
ai_cover_path,
instrumentals_path,
backup_vocals_path,
vocals_path,
main_vocals_path
) = process_song(
song_dir,
song_input,
mdx_model_params,
song_id,
is_webui,
input_type,
progress,
keep_files,
pitch_change,
pitch_change_all,
voice_model,
index_rate,
filter_radius,
rms_mix_rate,
protect,
f0_method,
crepe_hop_length,
output_format,
keep_orig,
orig_song_path,
)
display_progress('[~] Applying audio effects to Vocals...', 0.8, is_webui, progress)
ai_vocals_mixed_path = add_audio_effects(ai_vocals_path, reverb_rm_size, reverb_wet, reverb_dry, reverb_damping)
instrumentals_path, _ = run_mdx(
mdx_model_params,
os.path.join(output_dir, song_id),
os.path.join(mdxnet_models_dir, "UVR-MDX-NET-Inst_HQ_4.onnx"),
instrumentals_path,
# exclude_main=False,
exclude_inversion=True,
suffix="Voiceless",
denoise=False,
keep_orig=True,
base_device=""
)
if pitch_change_all != 0:
display_progress('[~] Applying overall pitch change', 0.85, is_webui, progress)
instrumentals_path = pitch_shift(instrumentals_path, pitch_change_all)
backup_vocals_path = pitch_shift(backup_vocals_path, pitch_change_all)
display_progress('[~] Combining AI Vocals and Instrumentals...', 0.9, is_webui, progress)
combine_audio([ai_vocals_mixed_path, backup_vocals_path, instrumentals_path], ai_cover_path, main_gain, backup_gain, inst_gain, output_format)
if not keep_files:
display_progress('[~] Removing intermediate audio files...', 0.95, is_webui, progress)
intermediate_files = [vocals_path, main_vocals_path, ai_vocals_mixed_path]
if pitch_change_all != 0:
intermediate_files += [instrumentals_path, backup_vocals_path]
for file in intermediate_files:
if file and os.path.exists(file):
os.remove(file)
return ai_cover_path
except Exception as e:
raise_exception(str(e), is_webui)
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Generate a AI cover song in the song_output/id directory.', add_help=True)
parser.add_argument('-i', '--song-input', type=str, required=True, help='Link to a YouTube video or the filepath to a local mp3/wav file to create an AI cover of')
parser.add_argument('-dir', '--rvc-dirname', type=str, required=True, help='Name of the folder in the rvc_models directory containing the RVC model file and optional index file to use')
parser.add_argument('-p', '--pitch-change', type=int, required=True, help='Change the pitch of AI Vocals only. Generally, use 1 for male to female and -1 for vice-versa. (Octaves)')
parser.add_argument('-k', '--keep-files', action=argparse.BooleanOptionalAction, help='Whether to keep all intermediate audio files generated in the song_output/id directory, e.g. Isolated Vocals/Instrumentals')
parser.add_argument('-ir', '--index-rate', type=float, default=0.5, help='A decimal number e.g. 0.5, used to reduce/resolve the timbre leakage problem. If set to 1, more biased towards the timbre quality of the training dataset')
parser.add_argument('-fr', '--filter-radius', type=int, default=3, help='A number between 0 and 7. If >=3: apply median filtering to the harvested pitch results. The value represents the filter radius and can reduce breathiness.')
parser.add_argument('-rms', '--rms-mix-rate', type=float, default=0.25, help="A decimal number e.g. 0.25. Control how much to use the original vocal's loudness (0) or a fixed loudness (1).")
parser.add_argument('-palgo', '--pitch-detection-algo', type=str, default='rmvpe', help='Best option is rmvpe (clarity in vocals), then mangio-crepe (smoother vocals).')
parser.add_argument('-hop', '--crepe-hop-length', type=int, default=128, help='If pitch detection algo is mangio-crepe, controls how often it checks for pitch changes in milliseconds. The higher the value, the faster the conversion and less risk of voice cracks, but there is less pitch accuracy. Recommended: 128.')
parser.add_argument('-pro', '--protect', type=float, default=0.33, help='A decimal number e.g. 0.33. Protect voiceless consonants and breath sounds to prevent artifacts such as tearing in electronic music. Set to 0.5 to disable. Decrease the value to increase protection, but it may reduce indexing accuracy.')
parser.add_argument('-mv', '--main-vol', type=int, default=0, help='Volume change for AI main vocals in decibels. Use -3 to decrease by 3 decibels and 3 to increase by 3 decibels')
parser.add_argument('-bv', '--backup-vol', type=int, default=0, help='Volume change for backup vocals in decibels')
parser.add_argument('-iv', '--inst-vol', type=int, default=0, help='Volume change for instrumentals in decibels')
parser.add_argument('-pall', '--pitch-change-all', type=int, default=0, help='Change the pitch/key of vocals and instrumentals. Changing this slightly reduces sound quality')
parser.add_argument('-rsize', '--reverb-size', type=float, default=0.15, help='Reverb room size between 0 and 1')
parser.add_argument('-rwet', '--reverb-wetness', type=float, default=0.2, help='Reverb wet level between 0 and 1')
parser.add_argument('-rdry', '--reverb-dryness', type=float, default=0.8, help='Reverb dry level between 0 and 1')
parser.add_argument('-rdamp', '--reverb-damping', type=float, default=0.7, help='Reverb damping between 0 and 1')
parser.add_argument('-oformat', '--output-format', type=str, default='mp3', help='Output format of audio file. mp3 for smaller file size, wav for best quality')
args = parser.parse_args()
rvc_dirname = args.rvc_dirname
if not os.path.exists(os.path.join(rvc_models_dir, rvc_dirname)):
raise Exception(f'The folder {os.path.join(rvc_models_dir, rvc_dirname)} does not exist.')
cover_path = song_cover_pipeline(args.song_input, rvc_dirname, args.pitch_change, args.keep_files,
main_gain=args.main_vol, backup_gain=args.backup_vol, inst_gain=args.inst_vol,
index_rate=args.index_rate, filter_radius=args.filter_radius,
rms_mix_rate=args.rms_mix_rate, f0_method=args.pitch_detection_algo,
crepe_hop_length=args.crepe_hop_length, protect=args.protect,
pitch_change_all=args.pitch_change_all,
reverb_rm_size=args.reverb_size, reverb_wet=args.reverb_wetness,
reverb_dry=args.reverb_dryness, reverb_damping=args.reverb_damping,
output_format=args.output_format)
print(f'[+] Cover generated at {cover_path}')