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https://github.com/RVC-Boss/GPT-SoVITS.git
synced 2025-04-06 03:57:44 +08:00
Change the link for G2PW Model
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@ -50,7 +50,6 @@ bert_path = os.environ.get("bert_path", None)
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version = model_version = os.environ.get("version", "v2")
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version = model_version = os.environ.get("version", "v2")
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import gradio as gr
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import gradio as gr
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from inference_webui import DictToAttrRecursive
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from TTS_infer_pack.text_segmentation_method import get_method
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from TTS_infer_pack.text_segmentation_method import get_method
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from TTS_infer_pack.TTS import NO_PROMPT_ERROR, TTS, TTS_Config
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from TTS_infer_pack.TTS import NO_PROMPT_ERROR, TTS, TTS_Config
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@ -256,7 +255,7 @@ def get_weights_names(GPT_weight_root, SoVITS_weight_root):
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SoVITS_names, GPT_names = get_weights_names(GPT_weight_root, SoVITS_weight_root)
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SoVITS_names, GPT_names = get_weights_names(GPT_weight_root, SoVITS_weight_root)
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from process_ckpt import get_sovits_version_from_path_fast, load_sovits_new
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from process_ckpt import get_sovits_version_from_path_fast
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def change_sovits_weights(sovits_path, prompt_language=None, text_language=None):
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def change_sovits_weights(sovits_path, prompt_language=None, text_language=None):
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@ -7,26 +7,20 @@ warnings.filterwarnings("ignore")
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import json
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import json
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import os
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import os
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import zipfile
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import zipfile
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import requests
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from typing import Any, Dict, List, Tuple
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from typing import Any
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from typing import Dict
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from typing import List
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from typing import Tuple
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import numpy as np
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import numpy as np
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import onnxruntime
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import onnxruntime
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import requests
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onnxruntime.set_default_logger_severity(3)
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onnxruntime.set_default_logger_severity(3)
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from opencc import OpenCC
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from opencc import OpenCC
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from pypinyin import Style, pinyin
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from transformers import AutoTokenizer
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from transformers import AutoTokenizer
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from pypinyin import pinyin
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from pypinyin import Style
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from .dataset import get_char_phoneme_labels
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from .dataset import get_phoneme_labels
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from .dataset import prepare_onnx_input
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from .utils import load_config
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from ..zh_normalization.char_convert import tranditional_to_simplified
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from ..zh_normalization.char_convert import tranditional_to_simplified
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from .dataset import get_char_phoneme_labels, get_phoneme_labels, prepare_onnx_input
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from .utils import load_config
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model_version = "1.1"
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model_version = "1.1"
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@ -63,7 +57,7 @@ def download_and_decompress(model_dir: str = "G2PWModel/"):
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extract_dir = os.path.join(parent_directory, "G2PWModel_1.1")
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extract_dir = os.path.join(parent_directory, "G2PWModel_1.1")
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extract_dir_new = os.path.join(parent_directory, "G2PWModel")
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extract_dir_new = os.path.join(parent_directory, "G2PWModel")
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print("Downloading g2pw model...")
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print("Downloading g2pw model...")
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modelscope_url = "https://www.modelscope.cn/models/kamiorinn/g2pw/resolve/master/G2PWModel_1.1.zip"#"https://paddlespeech.cdn.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip"
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modelscope_url = "https://www.modelscope.cn/models/kamiorinn/g2pw/resolve/master/G2PWModel_1.1.zip" # "https://paddlespeech.cdn.bcebos.com/Parakeet/released_models/g2p/G2PWModel_1.1.zip"
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with requests.get(modelscope_url, stream=True) as r:
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with requests.get(modelscope_url, stream=True) as r:
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r.raise_for_status()
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r.raise_for_status()
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with open(zip_dir, "wb") as f:
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with open(zip_dir, "wb") as f:
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