assure 'configs/config.json' is same (#205)

* Create all_process.py

* Create asr_transcript.py

* Update config.py

* Create extract_list.py

* Create clean_list.py

* Create custom.css

* Create compress_model.py

* Update all_process.py

* Update resample.py

* Update resample.py

* configs/config.json copy utils

* mirror: openi + token
bert models optimize

* text/__init__.py platform compatibility
compress_model.py output

* [pre-commit.ci] auto fixes from pre-commit.com hooks

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* default_config.yml fix 'config_path'
all_process.py fix 'config_path'

* default_config.yml fix 'config_path'
all_process.py fix 'config_path'

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

all_process.py

@@ -471,6 +471,9 @@ def modify_emo_gen(emo_cfg, emo_nps, emo_device):
     yml["emo_gen"]["device"] = emo_device
     write_yaml_data_in_fact(yml)
     comp_emo_cfg = os.path.join(os.path.abspath(data_path), emo_cfg).replace("\\", "/")
+    if not os.path.exists(comp_emo_cfg):
+        os.makedirs(os.path.dirname(comp_emo_cfg), exist_ok=True)
+        shutil.copy(default_config_path, os.path.dirname(comp_emo_cfg))
     msg = f"修改emo配置参数: [配置路径:{comp_emo_cfg}, 处理数:{emo_nps}, 设备:{emo_device}]"
     logger.info(msg)
     return gr.Textbox(value=msg), gr.Code(value=load_yaml_data_in_raw())

default_config.yml

@@ -34,7 +34,7 @@ preprocess_text:
   # 验证集路径
   val_path: "filelists/val.list"
   # 配置文件路径
-  config_path: "config.json"
+  config_path: "configs/config.json"
   # 每个speaker的验证集条数
   val_per_spk: 4
   # 验证集最大条数，多于的会被截断并放到训练集中
@@ -47,7 +47,7 @@ preprocess_text:
 # 注意， “:” 后需要加空格
 bert_gen:
   # 训练数据集配置文件路径
-  config_path: "config.json"
+  config_path: "configs/config.json"
   # 并行数
   num_processes: 2
   # 使用设备：可选项 "cuda" 显卡推理，"cpu" cpu推理
@@ -60,7 +60,7 @@ bert_gen:
 # 注意， “:” 后需要加空格
 emo_gen:
   # 训练数据集配置文件路径
-  config_path: "config.json"
+  config_path: "configs/config.json"
   # 并行数
   num_processes: 2
   # 使用设备：可选项 "cuda" 显卡推理，"cpu" cpu推理