File size: 8,809 Bytes
1e4a2ab |
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 |
import os
import sys
import json
import torch
import shutil
import gradio as gr
sys.path.append(os.getcwd())
from main.library import opencl
from main.app.variables import config, configs, configs_json, logger, translations, edgetts, google_tts_voice, method_f0, method_f0_full
def gr_info(message):
gr.Info(message, duration=2)
logger.info(message)
def gr_warning(message):
gr.Warning(message, duration=2)
logger.warning(message)
def gr_error(message):
gr.Error(message=message, duration=6)
logger.error(message)
def get_gpu_info():
ngpu = torch.cuda.device_count()
gpu_infos = [f"{i}: {torch.cuda.get_device_name(i)} ({int(torch.cuda.get_device_properties(i).total_memory / 1024 / 1024 / 1024 + 0.4)} GB)" for i in range(ngpu) if torch.cuda.is_available() or ngpu != 0]
if len(gpu_infos) == 0:
ngpu = opencl.device_count()
gpu_infos = [f"{i}: {opencl.device_name(i)}" for i in range(ngpu) if opencl.is_available() or ngpu != 0]
return "\n".join(gpu_infos) if len(gpu_infos) > 0 else translations["no_support_gpu"]
def gpu_number_str():
ngpu = torch.cuda.device_count()
if ngpu == 0: ngpu = opencl.device_count()
return str("-".join(map(str, range(ngpu))) if torch.cuda.is_available() or opencl.is_available() else "-")
def change_f0_choices():
f0_file = sorted([os.path.abspath(os.path.join(root, f)) for root, _, files in os.walk(configs["f0_path"]) for f in files if f.endswith(".txt")])
return {"value": f0_file[0] if len(f0_file) >= 1 else "", "choices": f0_file, "__type__": "update"}
def change_audios_choices(input_audio):
audios = sorted([os.path.abspath(os.path.join(root, f)) for root, _, files in os.walk(configs["audios_path"]) for f in files if os.path.splitext(f)[1].lower() in (".wav", ".mp3", ".flac", ".ogg", ".opus", ".m4a", ".mp4", ".aac", ".alac", ".wma", ".aiff", ".webm", ".ac3")])
return {"value": input_audio if input_audio != "" else (audios[0] if len(audios) >= 1 else ""), "choices": audios, "__type__": "update"}
def change_models_choices():
model, index = sorted(list(model for model in os.listdir(configs["weights_path"]) if model.endswith((".pth", ".onnx")) and not model.startswith("G_") and not model.startswith("D_"))), sorted([os.path.join(root, name) for root, _, files in os.walk(configs["logs_path"], topdown=False) for name in files if name.endswith(".index") and "trained" not in name])
return [{"value": model[0] if len(model) >= 1 else "", "choices": model, "__type__": "update"}, {"value": index[0] if len(index) >= 1 else "", "choices": index, "__type__": "update"}]
def change_pretrained_choices():
pretrainD = sorted([model for model in os.listdir(configs["pretrained_custom_path"]) if model.endswith(".pth") and "D" in model])
pretrainG = sorted([model for model in os.listdir(configs["pretrained_custom_path"]) if model.endswith(".pth") and "G" in model])
return [{"choices": pretrainD, "value": pretrainD[0] if len(pretrainD) >= 1 else "", "__type__": "update"}, {"choices": pretrainG, "value": pretrainG[0] if len(pretrainG) >= 1 else "", "__type__": "update"}]
def change_choices_del():
return [{"choices": sorted(list(model for model in os.listdir(configs["weights_path"]) if model.endswith(".pth") and not model.startswith("G_") and not model.startswith("D_"))), "__type__": "update"}, {"choices": sorted([os.path.join(configs["logs_path"], f) for f in os.listdir(configs["logs_path"]) if "mute" not in f and os.path.isdir(os.path.join(configs["logs_path"], f))]), "__type__": "update"}]
def change_preset_choices():
return {"value": "", "choices": sorted(list(f for f in os.listdir(configs["presets_path"]) if f.endswith(".conversion.json"))), "__type__": "update"}
def change_effect_preset_choices():
return {"value": "", "choices": sorted(list(f for f in os.listdir(configs["presets_path"]) if f.endswith(".effect.json"))), "__type__": "update"}
def change_tts_voice_choices(google):
return {"choices": google_tts_voice if google else edgetts, "value": google_tts_voice[0] if google else edgetts[0], "__type__": "update"}
def change_backing_choices(backing, merge):
if backing or merge: return {"value": False, "interactive": False, "__type__": "update"}
elif not backing or not merge: return {"interactive": True, "__type__": "update"}
else: gr_warning(translations["option_not_valid"])
def change_download_choices(select):
selects = [False]*10
if select == translations["download_url"]: selects[0] = selects[1] = selects[2] = True
elif select == translations["download_from_csv"]: selects[3] = selects[4] = True
elif select == translations["search_models"]: selects[5] = selects[6] = True
elif select == translations["upload"]: selects[9] = True
else: gr_warning(translations["option_not_valid"])
return [{"visible": selects[i], "__type__": "update"} for i in range(len(selects))]
def change_download_pretrained_choices(select):
selects = [False]*8
if select == translations["download_url"]: selects[0] = selects[1] = selects[2] = True
elif select == translations["list_model"]: selects[3] = selects[4] = selects[5] = True
elif select == translations["upload"]: selects[6] = selects[7] = True
else: gr_warning(translations["option_not_valid"])
return [{"visible": selects[i], "__type__": "update"} for i in range(len(selects))]
def get_index(model):
model = os.path.basename(model).split("_")[0]
return {"value": next((f for f in [os.path.join(root, name) for root, _, files in os.walk(configs["logs_path"], topdown=False) for name in files if name.endswith(".index") and "trained" not in name] if model.split(".")[0] in f), ""), "__type__": "update"} if model else None
def index_strength_show(index):
return {"visible": index != "" and os.path.exists(index), "value": 0.5, "__type__": "update"}
def hoplength_show(method, hybrid_method=None):
visible = False
for m in ["mangio-crepe", "fcpe", "yin", "piptrack", "fcn"]:
if m in method: visible = True
if m in hybrid_method: visible = True
if visible: break
else: visible = False
return {"visible": visible, "__type__": "update"}
def visible(value):
return {"visible": value, "__type__": "update"}
def valueFalse_interactive(value):
return {"value": False, "interactive": value, "__type__": "update"}
def valueEmpty_visible1(value):
return {"value": "", "visible": value, "__type__": "update"}
def pitch_guidance_lock(vocoders):
return {"value": True, "interactive": vocoders == "Default", "__type__": "update"}
def vocoders_lock(pitch, vocoders):
return {"value": vocoders if pitch else "Default", "interactive": pitch, "__type__": "update"}
def unlock_f0(value):
return {"choices": method_f0_full if value else method_f0, "value": "rmvpe", "__type__": "update"}
def unlock_vocoder(value, vocoder):
return {"value": vocoder if value == "v2" else "Default", "interactive": value == "v2", "__type__": "update"}
def unlock_ver(value, vocoder):
return {"value": "v2" if vocoder == "Default" else value, "interactive": vocoder == "Default", "__type__": "update"}
def visible_embedders(value):
return {"visible": value != "spin", "__type__": "update"}
def change_fp(fp):
fp16 = fp == "fp16"
if fp16 and config.device in ["cpu", "mps", "ocl:0"]:
gr_warning(translations["fp16_not_support"])
return "fp32"
else:
gr_info(translations["start_update_precision"])
configs = json.load(open(configs_json, "r"))
configs["fp16"] = config.is_half = fp16
with open(configs_json, "w") as f:
json.dump(configs, f, indent=4)
gr_info(translations["success"])
return "fp16" if fp16 else "fp32"
def process_output(file_path):
if config.configs.get("delete_exists_file", True):
if os.path.exists(file_path): os.remove(file_path)
return file_path
else:
if not os.path.exists(file_path): return file_path
file = os.path.splitext(os.path.basename(file_path))
index = 1
while 1:
file_path = os.path.join(os.path.dirname(file_path), f"{file[0]}_{index}{file[1]}")
if not os.path.exists(file_path): return file_path
index += 1
def shutil_move(input_path, output_path):
output_path = os.path.join(output_path, os.path.basename(input_path)) if os.path.isdir(output_path) else output_path
return shutil.move(input_path, process_output(output_path)) if os.path.exists(output_path) else shutil.move(input_path, output_path) |