Refactor: dataset_root and assets_root in configs/paths.yml
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@@ -5,14 +5,13 @@ import sys
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import gradio as gr
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import numpy as np
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import torch
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import yaml
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from safetensors import safe_open
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from safetensors.torch import save_file
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from config import config
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from common.tts_model import Model, ModelHolder
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from common.log import logger
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from common.constants import DEFAULT_STYLE
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from common.log import logger
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from common.tts_model import Model, ModelHolder
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voice_keys = ["dec", "flow"]
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speech_style_keys = ["enc_p"]
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@@ -20,8 +19,13 @@ tempo_keys = ["sdp", "dp"]
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device = "cuda" if torch.cuda.is_available() else "cpu"
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model_dir = config.out_dir
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model_holder = ModelHolder(model_dir, device)
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# Get path settings
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with open(os.path.join("configs", "paths.yml"), "r", encoding="utf-8") as f:
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path_config: dict[str, str] = yaml.safe_load(f.read())
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# dataset_root = path_config["dataset_root"]
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assets_root = path_config["assets_root"]
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model_holder = ModelHolder(assets_root, device)
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def merge_style(model_name_a, model_name_b, weight, output_name, style_triple_list):
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