Spaces:
Running
on
Zero
Running
on
Zero
File size: 9,370 Bytes
889d37b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 |
import yt_dlp
import re
import subprocess
import os
import shutil
from pydub import AudioSegment
import gradio as gr
import traceback
import logging
from inference import proc_folder_direct
from pathlib import Path
OUTPUT_FOLDER = "separation_results/"
INPUT_FOLDER = "input"
download_path = ""
def sanitize_filename(filename):
return re.sub(r'[\\/*?:"<>|]', '_', filename)
def delete_input_files(input_dir):
wav_dir = Path(input_dir) / "wav"
for wav_file in wav_dir.glob("*.wav"):
wav_file.unlink()
print(f"Deleted {wav_file}")
def download_youtube_audio_by_title(query, state=True):
if state:
delete_input_files(INPUT_FOLDER)
ydl_opts = {
'quiet': True,
'default_search': 'ytsearch',
'noplaylist': True,
'format': 'bestaudio/best',
'outtmpl': './input/wav/%(title)s.%(ext)s',
'postprocessors': [{
'key': 'FFmpegExtractAudio',
'preferredcodec': 'wav',
}],
}
with yt_dlp.YoutubeDL(ydl_opts) as ydl:
search_results = ydl.extract_info(query, download=False)
video_info = search_results['entries'][0]
video_url = video_info['webpage_url']
video_title = video_info['title']
match = re.match(r'^(.*? - .*?)(?: \[.*\]|\(.*\))?$', video_title)
formatted_title = match.group(1) if match else video_title
formatted_title = sanitize_filename(formatted_title.strip())
ydl_opts['outtmpl'] = f'./input/wav/{formatted_title}.%(ext)s'
if state:
with yt_dlp.YoutubeDL(ydl_opts) as ydl:
ydl.download([video_url])
return f'./input/wav/{formatted_title}.wav'
return formatted_title
def run_inference(model_type, config_path, start_check_point, input_dir, output_dir, device_ids="0"):
command = [
"python", "inference.py",
"--model_type", model_type,
"--config_path", config_path,
"--start_check_point", start_check_point,
"--INPUT_FOLDER", input_dir,
"--store_dir", output_dir,
"--device_ids", device_ids
]
return subprocess.run(command, check=True, capture_output=True, text=True)
def move_stems_to_parent(input_dir):
for subdir, dirs, files in os.walk(input_dir):
if subdir == input_dir:
continue
parent_dir = os.path.dirname(subdir)
song_name = os.path.basename(parent_dir)
if 'htdemucs' in subdir:
print(f"Processing htdemucs in {subdir}")
bass_path = os.path.join(subdir, f"{song_name}_bass.wav")
if os.path.exists(bass_path):
new_bass_path = os.path.join(parent_dir, "bass.wav")
print(f"Moving {bass_path} to {new_bass_path}")
shutil.move(bass_path, new_bass_path)
else:
print(f"Bass file not found: {bass_path}")
elif 'mel_band_roformer' in subdir:
print(f"Processing mel_band_roformer in {subdir}")
vocals_path = os.path.join(subdir, f"{song_name}_vocals.wav")
if os.path.exists(vocals_path):
new_vocals_path = os.path.join(parent_dir, "vocals.wav")
print(f"Moving {vocals_path} to {new_vocals_path}")
shutil.move(vocals_path, new_vocals_path)
else:
print(f"Vocals file not found: {vocals_path}")
elif 'scnet' in subdir:
print(f"Processing scnet in {subdir}")
other_path = os.path.join(subdir, f"{song_name}_other.wav")
if os.path.exists(other_path):
new_other_path = os.path.join(parent_dir, "other.wav")
print(f"Moving {other_path} to {new_other_path}")
shutil.move(other_path, new_other_path)
else:
print(f"Other file not found: {other_path}")
elif 'bs_roformer' in subdir:
print(f"Processing bs_roformer in {subdir}")
instrumental_path = os.path.join(subdir, f"{song_name}_other.wav")
if os.path.exists(instrumental_path):
new_instrumental_path = os.path.join(parent_dir, "instrumental.wav")
print(f"Moving {instrumental_path} to {new_instrumental_path}")
shutil.move(instrumental_path, new_instrumental_path)
else:
print(f"Instrumental file not found: {instrumental_path}")
def combine_stems_for_all(input_dir):
for subdir, _, _ in os.walk(input_dir):
if subdir == input_dir:
continue
song_name = os.path.basename(subdir)
print(f"Processing {subdir}")
stem_paths = {
"vocals": os.path.join(subdir, "vocals.wav"),
"bass": os.path.join(subdir, "bass.wav"),
"others": os.path.join(subdir, "other.wav"),
"instrumental": os.path.join(subdir, "instrumental.wav")
}
if not all(os.path.exists(path) for path in stem_paths.values()):
print(f"Skipping {subdir}, not all stems are present.")
continue
stems = {name: AudioSegment.from_file(path) for name, path in stem_paths.items()}
combined = stems["vocals"].overlay(stems["bass"]).overlay(stems["others"]).overlay(stems["instrumental"])
output_file = os.path.join(subdir, f"{song_name}.MDS.wav")
combined.export(output_file, format="wav")
print(f"Exported combined stems to {output_file}")
def delete_folders_and_files(input_dir):
folders_to_delete = ['htdemucs', 'mel_band_roformer', 'scnet', 'bs_roformer']
files_to_delete = ['bass.wav', 'vocals.wav', 'other.wav', 'instrumental.wav']
for root, dirs, files in os.walk(input_dir, topdown=False):
if root == input_dir:
continue
for folder in folders_to_delete:
folder_path = os.path.join(root, folder)
if os.path.isdir(folder_path):
print(f"Deleting folder: {folder_path}")
shutil.rmtree(folder_path)
for file in files_to_delete:
file_path = os.path.join(root, file)
if os.path.isfile(file_path):
print(f"Deleting file: {file_path}")
os.remove(file_path)
for root, dirs, files in os.walk(OUTPUT_FOLDER):
for dir_name in dirs:
if dir_name.endswith('_vocals'):
dir_path = os.path.join(root, dir_name)
print(f"Deleting folder: {dir_path}")
shutil.rmtree(dir_path)
print("Cleanup completed.")
def process_audio(song_title):
try:
yield "Finding audio...", None
if title_input == "":
raise ValueError("Please enter a song title.")
formatted_title = download_youtube_audio_by_title(song_title, False)
yield "Starting SCNet inference...", None
proc_folder_direct("scnet", "configs/config_scnet_other.yaml", "results/model_scnet_other.ckpt", f"{INPUT_FOLDER}/wav", OUTPUT_FOLDER)
yield "Starting Mel Band Roformer inference...", None
proc_folder_direct("mel_band_roformer", "configs/config_mel_band_roformer_vocals.yaml", "results/model_mel_band_roformer_vocals.ckpt", f"{INPUT_FOLDER}/wav", OUTPUT_FOLDER, extract_instrumental=True)
yield "Starting HTDemucs inference...", None
proc_folder_direct("htdemucs", "configs/config_htdemucs_bass.yaml", "results/model_htdemucs_bass.th", f"{INPUT_FOLDER}/wav", OUTPUT_FOLDER)
source_path = f'{OUTPUT_FOLDER}{formatted_title}/mel_band_roformer/{formatted_title}_instrumental.wav'
destination_path = f'{OUTPUT_FOLDER}{formatted_title}/mel_band_roformer/{formatted_title}.wav'
os.rename(source_path, destination_path)
yield "Starting BS Roformer inference...", None
proc_folder_direct("bs_roformer", "configs/config_bs_roformer_instrumental.yaml", "results/model_bs_roformer_instrumental.ckpt", f'{OUTPUT_FOLDER}{formatted_title}/mel_band_roformer', OUTPUT_FOLDER)
yield "Moving input files...", None
delete_input_files(INPUT_FOLDER)
yield "Moving stems to parent...", None
move_stems_to_parent(OUTPUT_FOLDER)
yield "Combining stems...", None
combine_stems_for_all(OUTPUT_FOLDER)
yield "Cleaning up...", None
delete_folders_and_files(OUTPUT_FOLDER)
yield f"Audio processing completed successfully.", f'{OUTPUT_FOLDER}{formatted_title}/{formatted_title}.MDS.wav'
except Exception as e:
error_msg = f"An error occurred: {str(e)}\n{traceback.format_exc()}"
logging.error(error_msg)
yield error_msg, None
with gr.Blocks() as demo:
gr.Markdown("# Music Player and Processor")
with gr.Row():
title_input = gr.Textbox(label="Enter Song Title")
play_button = gr.Button("Play")
audio_output = gr.Audio(label="Audio Player")
process_button = gr.Button("Process Audio")
log_output = gr.Textbox(label="Processing Log", interactive=False)
processed_audio_output = gr.Audio(label="Processed Audio")
play_button.click(
fn=download_youtube_audio_by_title,
inputs=title_input,
outputs=audio_output
)
process_button.click(
fn=process_audio,
inputs=title_input,
outputs=[log_output, processed_audio_output],
show_progress=True
)
demo.launch() |