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| import os | |
| import re | |
| import sys | |
| import codecs | |
| import librosa | |
| import logging | |
| import numpy as np | |
| import soundfile as sf | |
| from pydub import AudioSegment, silence | |
| sys.path.append(os.getcwd()) | |
| from main.tools import huggingface | |
| from main.configs.config import Config | |
| for l in ["httpx", "httpcore"]: | |
| logging.getLogger(l).setLevel(logging.ERROR) | |
| translations = Config().translations | |
| def check_predictors(method): | |
| def download(predictors): | |
| if not os.path.exists(os.path.join("assets", "models", "predictors", predictors)): huggingface.HF_download_file(codecs.decode("uggcf://uhttvatsnpr.pb/NauC/Ivrganzrfr-EIP-Cebwrpg/erfbyir/znva/cerqvpgbef/", "rot13") + predictors, os.path.join("assets", "models", "predictors", predictors)) | |
| model_dict = {**dict.fromkeys(["rmvpe", "rmvpe-legacy"], "rmvpe.pt"), **dict.fromkeys(["rmvpe-onnx", "rmvpe-legacy-onnx"], "rmvpe.onnx"), **dict.fromkeys(["fcpe", "fcpe-legacy"], "fcpe.pt"), **dict.fromkeys(["fcpe-onnx", "fcpe-legacy-onnx"], "fcpe.onnx"), **dict.fromkeys(["crepe-full", "mangio-crepe-full"], "crepe_full.pth"), **dict.fromkeys(["crepe-full-onnx", "mangio-crepe-full-onnx"], "crepe_full.onnx"), **dict.fromkeys(["crepe-large", "mangio-crepe-large"], "crepe_large.pth"), **dict.fromkeys(["crepe-large-onnx", "mangio-crepe-large-onnx"], "crepe_large.onnx"), **dict.fromkeys(["crepe-medium", "mangio-crepe-medium"], "crepe_medium.pth"), **dict.fromkeys(["crepe-medium-onnx", "mangio-crepe-medium-onnx"], "crepe_medium.onnx"), **dict.fromkeys(["crepe-small", "mangio-crepe-small"], "crepe_small.pth"), **dict.fromkeys(["crepe-small-onnx", "mangio-crepe-small-onnx"], "crepe_small.onnx"), **dict.fromkeys(["crepe-tiny", "mangio-crepe-tiny"], "crepe_tiny.pth"), **dict.fromkeys(["crepe-tiny-onnx", "mangio-crepe-tiny-onnx"], "crepe_tiny.onnx"), **dict.fromkeys(["harvest", "dio"], "world.pth")} | |
| if "hybrid" in method: | |
| methods_str = re.search("hybrid\[(.+)\]", method) | |
| if methods_str: methods = [method.strip() for method in methods_str.group(1).split("+")] | |
| for method in methods: | |
| if method in model_dict: download(model_dict[method]) | |
| elif method in model_dict: download(model_dict[method]) | |
| def check_embedders(hubert): | |
| if hubert in ["contentvec_base", "hubert_base", "japanese_hubert_base", "korean_hubert_base", "chinese_hubert_base", "Hidden_Rabbit_last", "portuguese_hubert_base"]: | |
| model_path = os.path.join("assets", "models", "embedders", hubert + '.pt') | |
| if not os.path.exists(model_path): huggingface.HF_download_file(codecs.decode("uggcf://uhttvatsnpr.pb/NauC/Ivrganzrfr-EIP-Cebwrpg/erfbyir/znva/rzorqqref/", "rot13") + f"{hubert}.pt", model_path) | |
| def load_audio(file): | |
| try: | |
| file = file.strip(" ").strip('"').strip("\n").strip('"').strip(" ") | |
| if not os.path.isfile(file): raise FileNotFoundError(translations["not_found"].format(name=file)) | |
| audio, sr = sf.read(file) | |
| if len(audio.shape) > 1: audio = librosa.to_mono(audio.T) | |
| if sr != 16000: audio = librosa.resample(audio, orig_sr=sr, target_sr=16000, res_type="soxr_vhq") | |
| except Exception as e: | |
| raise RuntimeError(f"{translations['errors_loading_audio']}: {e}") | |
| return audio.flatten() | |
| def process_audio(logger, file_path, output_path): | |
| try: | |
| song = pydub_convert(AudioSegment.from_file(file_path)) | |
| cut_files, time_stamps = [], [] | |
| for i, (start_i, end_i) in enumerate(silence.detect_nonsilent(song, min_silence_len=750, silence_thresh=-70)): | |
| chunk = song[start_i:end_i] | |
| if len(chunk) > 10: | |
| chunk_file_path = os.path.join(output_path, f"chunk{i}.wav") | |
| if os.path.exists(chunk_file_path): os.remove(chunk_file_path) | |
| chunk.export(chunk_file_path, format="wav") | |
| cut_files.append(chunk_file_path) | |
| time_stamps.append((start_i, end_i)) | |
| else: logger.debug(translations["skip_file"].format(i=i, chunk=len(chunk))) | |
| logger.info(f"{translations['split_total']}: {len(cut_files)}") | |
| return cut_files, time_stamps | |
| except Exception as e: | |
| raise RuntimeError(f"{translations['process_audio_error']}: {e}") | |
| def merge_audio(files_list, time_stamps, original_file_path, output_path, format): | |
| try: | |
| def extract_number(filename): | |
| match = re.search(r'_(\d+)', filename) | |
| return int(match.group(1)) if match else 0 | |
| total_duration = len(AudioSegment.from_file(original_file_path)) | |
| combined = AudioSegment.empty() | |
| current_position = 0 | |
| for file, (start_i, end_i) in zip(sorted(files_list, key=extract_number), time_stamps): | |
| if start_i > current_position: combined += AudioSegment.silent(duration=start_i - current_position) | |
| combined += AudioSegment.from_file(file) | |
| current_position = end_i | |
| if current_position < total_duration: combined += AudioSegment.silent(duration=total_duration - current_position) | |
| combined.export(output_path, format=format) | |
| return output_path | |
| except Exception as e: | |
| raise RuntimeError(f"{translations['merge_error']}: {e}") | |
| def pydub_convert(audio): | |
| samples = np.frombuffer(audio.raw_data, dtype=np.int16) | |
| if samples.dtype != np.int16: samples = (samples * 32767).astype(np.int16) | |
| return AudioSegment(samples.tobytes(), frame_rate=audio.frame_rate, sample_width=samples.dtype.itemsize, channels=audio.channels) |