| | import os |
| | import subprocess |
| | import shutil |
| | from concurrent.futures import ThreadPoolExecutor, as_completed |
| | from tqdm.notebook import tqdm |
| | from pathlib import Path |
| | import requests |
| |
|
| | def run_script(): |
| | def run_cmd(cmd): |
| | process = subprocess.run(cmd, shell=True, check=True, text=True) |
| | return process.stdout |
| |
|
| | |
| | os.chdir('/content/') |
| | print("Changing dir to /content/") |
| |
|
| | |
| | def edit_file(file_path): |
| | temp_file_path = "/tmp/temp_file.py" |
| | changes_made = False |
| | with open(file_path, "r") as file, open(temp_file_path, "w") as temp_file: |
| | previous_line = "" |
| | second_previous_line = "" |
| | for line in file: |
| | new_line = line.replace("value=160", "value=128") |
| | if new_line != line: |
| | print("Replaced 'value=160' with 'value=128'") |
| | changes_made = True |
| | line = new_line |
| |
|
| | new_line = line.replace("crepe hop length: 160", "crepe hop length: 128") |
| | if new_line != line: |
| | print("Replaced 'crepe hop length: 160' with 'crepe hop length: 128'") |
| | changes_made = True |
| | line = new_line |
| |
|
| | new_line = line.replace("value=0.88", "value=0.75") |
| | if new_line != line: |
| | print("Replaced 'value=0.88' with 'value=0.75'") |
| | changes_made = True |
| | line = new_line |
| |
|
| | if "label=i18n(\"输入源音量包络替换输出音量包络融合比例,越靠近1越使用输出包络\")" in previous_line and "value=1," in line: |
| | new_line = line.replace("value=1,", "value=0.25,") |
| | if new_line != line: |
| | print("Replaced 'value=1,' with 'value=0.25,' based on the condition") |
| | changes_made = True |
| | line = new_line |
| |
|
| | if "label=i18n(\"总训练轮数total_epoch\")" in previous_line and "value=20," in line: |
| | new_line = line.replace("value=20,", "value=500,") |
| | if new_line != line: |
| | print("Replaced 'value=20,' with 'value=500,' based on the condition for DEFAULT EPOCH") |
| | changes_made = True |
| | line = new_line |
| |
|
| | if 'choices=["pm", "harvest", "dio", "crepe", "crepe-tiny", "mangio-crepe", "mangio-crepe-tiny"], # Fork Feature. Add Crepe-Tiny' in previous_line: |
| | if 'value="pm",' in line: |
| | new_line = line.replace('value="pm",', 'value="mangio-crepe",') |
| | if new_line != line: |
| | print("Replaced 'value=\"pm\",' with 'value=\"mangio-crepe\",' based on the condition") |
| | changes_made = True |
| | line = new_line |
| |
|
| | new_line = line.replace('label=i18n("输入训练文件夹路径"), value="E:\\\\语音音频+标注\\\\米津玄师\\\\src"', 'label=i18n("输入训练文件夹路径"), value="/content/dataset/"') |
| | if new_line != line: |
| | print("Replaced 'label=i18n(\"输入训练文件夹路径\"), value=\"E:\\\\语音音频+标注\\\\米津玄师\\\\src\"' with 'label=i18n(\"输入训练文件夹路径\"), value=\"/content/dataset/\"'") |
| | changes_made = True |
| | line = new_line |
| |
|
| | if 'label=i18n("是否仅保存最新的ckpt文件以节省硬盘空间"),' in second_previous_line: |
| | if 'value=i18n("否"),' in line: |
| | new_line = line.replace('value=i18n("否"),', 'value=i18n("是"),') |
| | if new_line != line: |
| | print("Replaced 'value=i18n(\"否\"),' with 'value=i18n(\"是\"),' based on the condition for SAVE ONLY LATEST") |
| | changes_made = True |
| | line = new_line |
| |
|
| | if 'label=i18n("是否在每次保存时间点将最终小模型保存至weights文件夹"),' in second_previous_line: |
| | if 'value=i18n("否"),' in line: |
| | new_line = line.replace('value=i18n("否"),', 'value=i18n("是"),') |
| | if new_line != line: |
| | print("Replaced 'value=i18n(\"否\"),' with 'value=i18n(\"是\"),' based on the condition for SAVE SMALL WEIGHTS") |
| | changes_made = True |
| | line = new_line |
| |
|
| | temp_file.write(line) |
| | second_previous_line = previous_line |
| | previous_line = line |
| |
|
| | |
| | import shutil |
| | shutil.move(temp_file_path, file_path) |
| |
|
| | if changes_made: |
| | print("Changes made and file saved successfully.") |
| | else: |
| | print("No changes were needed.") |
| |
|
| | |
| | repo_path = '/content/Applio-RVC-Fork' |
| |
|
| | def copy_all_files_in_directory(src_dir, dest_dir): |
| | |
| | for item in Path(src_dir).glob('*'): |
| | if item.is_file(): |
| | |
| | shutil.copy(item, dest_dir) |
| | else: |
| | |
| | new_dest = Path(dest_dir) / item.name |
| | new_dest.mkdir(exist_ok=True) |
| | copy_all_files_in_directory(str(item), str(new_dest)) |
| |
|
| | def clone_and_copy_repo(repo_path): |
| | |
| | new_repo_link = "https://github.com/IAHispano/Applio-RVC-Fork/" |
| | |
| | temp_repo_path = "/content/temp_Applio-RVC-Fork" |
| | |
| | new_folder_name = "Applio-RVC-Fork" |
| |
|
| | |
| | run_cmd(f"git clone {new_repo_link} {temp_repo_path}") |
| | os.chdir(temp_repo_path) |
| |
|
| | run_cmd(f"git checkout 3fa4dad3d8961e5ca2522e9e12c0b4ddb71ad402") |
| | run_cmd(f"git checkout f9e606c279cb49420597519b0a83b92be81e42e4") |
| | run_cmd(f"git checkout 9e305588844c5442d58add1061b29beeca89d679") |
| | run_cmd(f"git checkout bf92dc1eb54b4f28d6396a4d1820a25896cc9af8") |
| | run_cmd(f"git checkout c3810e197d3cb98039973b2f723edf967ecd9e61") |
| | run_cmd(f"git checkout a33159efd134c2413b0afe26a76b7dc87926d2de") |
| | run_cmd(f"git checkout 24e251fb62c662e39ac5cf9253cc65deb9be94ec") |
| | run_cmd(f"git checkout ad5667d3017e93232dba85969cddac1322ba2902") |
| | run_cmd(f"git checkout ce9715392cf52dd5a0e18e00d1b5e408f08dbf27") |
| | run_cmd(f"git checkout 7c7da3f2ac68f3bd8f3ad5ca5c700f18ab9f90eb") |
| | run_cmd(f"git checkout 4ac395eab101955e8960b50d772c26f592161764") |
| | run_cmd(f"git checkout b15b358702294c7375761584e5276c811ffab5e8") |
| | run_cmd(f"git checkout 1501793dc490982db9aca84a50647764caa66e51") |
| | run_cmd(f"git checkout 21f7faf57219c75e6ba837062350391a803e9ae2") |
| | run_cmd(f"git checkout b5eb689fbc409b49f065a431817f822f554cebe7") |
| | run_cmd(f"git checkout 7e02fae1ebf24cb151bf6cbe787d06734aa65862") |
| | run_cmd(f"git checkout 6aea5ea18ed0b9a1e03fa5d268d6bc3c616672a9") |
| | run_cmd(f"git checkout f0f9b25717e59116473fb42bd7f9252cfc32b398") |
| | run_cmd(f"git checkout b394de424088a81fc081224bc27338a8651ad3b2") |
| | run_cmd(f"git checkout f1999406a88b80c965d2082340f5ea2bfa9ab67a") |
| | run_cmd(f"git checkout d98a0fa8dc715308dfc73eac5c553b69c6ee072b") |
| | run_cmd(f"git checkout d73267a415fb0eba98477afa43ef71ffd82a7157") |
| | run_cmd(f"git checkout 1a03d01356ae79179e1fb8d8915dc9cc79925742") |
| | run_cmd(f"git checkout 81497bb3115e92c754300c9b3992df428886a3e9") |
| | run_cmd(f"git checkout c5af1f8edcf79cb70f065c0110e279e78e48caf9") |
| | run_cmd(f"git checkout cdb3c90109387fa4dfa92f53c3864c71170ffc77") |
| |
|
| | |
| | |
| |
|
| | |
| | copy_all_files_in_directory(temp_repo_path, repo_path) |
| | print(f"Copying all {new_folder_name} files from GitHub.") |
| |
|
| | |
| | os.chdir('/content/') |
| | print("Changed path back to /content/") |
| | |
| | |
| | shutil.rmtree(temp_repo_path) |
| |
|
| | |
| | clone_and_copy_repo(repo_path) |
| |
|
| | |
| | os.makedirs('/content/Applio-RVC-Fork/stats/', exist_ok=True) |
| | run_cmd("wget -q https://cdn.discordapp.com/attachments/945486970883285045/1114717554481569802/peppy-generator-388800-07722f17a188.json -O /content/Applio-RVC-Fork/stats/peppy-generator-388800-07722f17a188.json") |
| |
|
| | |
| | shutil.rmtree('/content/Applio-RVC-Fork/torchcrepe', ignore_errors=True) |
| | shutil.rmtree('/content/torchcrepe', ignore_errors=True) |
| |
|
| | |
| | run_cmd("git clone https://github.com/maxrmorrison/torchcrepe.git") |
| | shutil.move('/content/torchcrepe/torchcrepe', '/content/Applio-RVC-Fork/') |
| | shutil.rmtree('/content/torchcrepe', ignore_errors=True) |
| |
|
| | |
| | os.chdir('/content/Applio-RVC-Fork') |
| | os.makedirs('pretrained', exist_ok=True) |
| | os.makedirs('uvr5_weights', exist_ok=True) |
| |
|
| | def download_file(url, filepath): |
| | response = requests.get(url, stream=True) |
| | response.raise_for_status() |
| |
|
| | with open(filepath, "wb") as file: |
| | for chunk in response.iter_content(chunk_size=8192): |
| | if chunk: |
| | file.write(chunk) |
| |
|
| | def download_pretrained_models(): |
| | pretrained_models = { |
| | "pretrained": [ |
| | "D40k.pth", |
| | "G40k.pth", |
| | "f0D40k.pth", |
| | "f0G40k.pth" |
| | ], |
| | "pretrained_v2": [ |
| | "D40k.pth", |
| | "G40k.pth", |
| | "f0D40k.pth", |
| | "f0G40k.pth", |
| | "f0G48k.pth", |
| | "f0D48k.pth" |
| | ], |
| | "uvr5_weights": [ |
| | "HP2-人声vocals+非人声instrumentals.pth", |
| | "HP5-主旋律人声vocals+其他instrumentals.pth", |
| | "VR-DeEchoNormal.pth", |
| | "VR-DeEchoDeReverb.pth", |
| | "VR-DeEchoAggressive.pth", |
| | "HP5_only_main_vocal.pth", |
| | "HP3_all_vocals.pth", |
| | "HP2_all_vocals.pth" |
| | ] |
| | } |
| | part2 = "I" |
| | base_url = "https://huggingface.co/lj1995/VoiceConversionWebU" + part2 + "/resolve/main/" |
| | base_path = "/content/Applio-RVC-Fork/" |
| | base_pathm = base_path |
| |
|
| | |
| | total_files = sum(len(files) for files in pretrained_models.values()) + 1 |
| |
|
| | with tqdm(total=total_files, desc="Downloading files") as pbar: |
| | for folder, models in pretrained_models.items(): |
| | folder_path = os.path.join(base_path, folder) |
| | os.makedirs(folder_path, exist_ok=True) |
| | for model in models: |
| | url = base_url + folder + "/" + model |
| | filepath = os.path.join(folder_path, model) |
| | download_file(url, filepath) |
| | pbar.update() |
| |
|
| | |
| | hubert_url = base_url + "hubert_base.pt" |
| | hubert_filepath = os.path.join(base_pathm, "hubert_base.pt") |
| | download_file(hubert_url, hubert_filepath) |
| | pbar.update() |
| | def clone_repository(run_download): |
| | with ThreadPoolExecutor(max_workers=2) as executor: |
| | executor.submit(run_script) |
| | if run_download: |
| | executor.submit(download_pretrained_models) |
| |
|