Spaces:
Running
Running
import os | |
import wave | |
import subprocess | |
import yt_dlp | |
import ffmpeg | |
import logging | |
from fairseq import checkpoint_utils | |
logger = logging.getLogger(__name__) | |
def load_hubert(config): | |
path_check = os.path.exists("assets/hubert/hubert_base.pt") | |
if path_check is False: | |
logger.warn("hubert_base.pt is missing. Please check the documentation for to get it.") | |
else: | |
logger.info("hubert_base.pt found.") | |
models, _, _ = checkpoint_utils.load_model_ensemble_and_task( | |
[os.path.join("assets", "hubert", "hubert_base.pt")], | |
suffix="", | |
) | |
hubert_model = models[0] | |
hubert_model = hubert_model.to(config.device) | |
if config.is_half: | |
hubert_model = hubert_model.half() | |
else: | |
hubert_model = hubert_model.float() | |
hubert_model.eval() | |
return hubert_model | |
def download_audio(url, audio_provider): | |
logs = [] | |
if url == "": | |
logs.append("URL required!") | |
yield None, "\n".join(logs) | |
return None, "\n".join(logs) | |
if not os.path.exists("yt"): | |
os.mkdir("yt") | |
if audio_provider == "Youtube": | |
logs.append("Downloading the audio...") | |
yield None, "\n".join(logs) | |
ydl_opts = { | |
'noplaylist': True, | |
'format': 'bestaudio/best', | |
'postprocessors': [{ | |
'key': 'FFmpegExtractAudio', | |
'preferredcodec': 'wav', | |
}], | |
"outtmpl": 'yt/audio', | |
} | |
audio_path = "yt/audio.wav" | |
with yt_dlp.YoutubeDL(ydl_opts) as ydl: | |
ydl.download([url]) | |
logs.append("Download Complete.") | |
yield audio_path, "\n".join(logs) | |
def cut_vocal_and_inst(split_model): | |
logs = [] | |
logs.append("Starting the audio splitting process...") | |
yield "\n".join(logs), None, None, None | |
command = f"demucs --two-stems=vocals -n {split_model} yt/audio.wav -o output" | |
result = subprocess.Popen(command.split(), stdout=subprocess.PIPE, text=True) | |
for line in result.stdout: | |
logs.append(line) | |
yield "\n".join(logs), None, None, None | |
logger.info(result.stdout) | |
vocal = f"output/{split_model}/audio/vocals.wav" | |
inst = f"output/{split_model}/audio/no_vocals.wav" | |
logs.append("Audio splitting complete.") | |
yield "\n".join(logs), vocal, inst, vocal | |
def combine_vocal_and_inst(audio_data, vocal_volume, inst_volume, split_model): | |
if not os.path.exists("output/result"): | |
os.mkdir("output/result") | |
vocal_path = "output/result/output.wav" | |
output_path = "output/result/combine.mp3" | |
inst_path = f"output/{split_model}/audio/no_vocals.wav" | |
with wave.open(vocal_path, "w") as wave_file: | |
wave_file.setnchannels(1) | |
wave_file.setsampwidth(2) | |
wave_file.setframerate(audio_data[0]) | |
wave_file.writeframes(audio_data[1].tobytes()) | |
command = f'ffmpeg -y -i {inst_path} -i {vocal_path} -filter_complex [0:a]volume={inst_volume}[i];[1:a]volume={vocal_volume}[v];[i][v]amix=inputs=2:duration=longest[a] -map [a] -b:a 320k -c:a libmp3lame {output_path}' | |
result = subprocess.run(command.split(), stdout=subprocess.PIPE) | |
logger.info(result.stdout.decode()) | |
return output_path |