feat: Refactor and enhance TRPG NER model SDK

- Removed deprecated `word_conll_to_char_conll.py` utility and integrated its functionality into the new `utils` module.
- Introduced a comprehensive GitHub Actions workflow for automated publishing to PyPI and GitHub Releases.
- Added `__init__.py` files to establish package structure for `basemodel`, `inference`, `training`, and `utils` modules.
- Implemented model downloading functionality in `download_model.py` to fetch pre-trained ONNX models.
- Developed `TRPGParser` class for ONNX-based inference, including methods for parsing TRPG logs.
- Created training utilities in `training/__init__.py` for NER model training with Hugging Face Transformers.
- Enhanced utility functions for CoNLL file parsing and dataset creation.
- Added command-line interface for converting CoNLL files to datasets with validation options.

1 files changed, 36 insertions, 0 deletions

diff --git a/src/basemodel/__init__.py b/src/basemodel/__init__.py
new file mode 100644
index 0000000..7287df4
--- /dev/null
+++ b/src/basemodel/__init__.py
@@ -0,0 +1,36 @@
+"""
+base-model - HydroRoll TRPG NER 模型 SDK
+
+这是一个用于 TRPG（桌上角色扮演游戏）日志命名实体识别的 Python SDK。
+
+基本用法:
+    >>> from basemodel import TRPGParser
+    >>> parser = TRPGParser()
+    >>> result = parser.parse("风雨 2024-06-08 21:44:59 剧烈的疼痛...")
+    >>> print(result)
+    {'metadata': {'speaker': '风雨', 'timestamp': '2024-06-08 21:44:59'}, 'content': [...]}
+
+训练功能（需要额外安装）:
+    >>> pip install base-model[train]
+    >>> from basemodel.training import train_ner_model
+    >>> train_ner_model(conll_data="./data", output_dir="./model")
+"""
+
+from basemodel.inference import TRPGParser, parse_line, parse_lines
+
+try:
+    from importlib.metadata import version
+    __version__ = version("base-model")
+except Exception:
+    __version__ = "0.1.0.dev"
+
+__all__ = [
+    "__version__",
+    "TRPGParser",
+    "parse_line",
+    "parse_lines",
+]
+
+
+def get_version():
+    return __version__