feat:合并工具调用模型和心流模型
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@@ -327,8 +327,8 @@ def split_into_sentences_w_remove_punctuation(text: str) -> List[str]:
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# 提取最终的句子内容
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final_sentences = [content for content, sep in merged_segments if content] # 只保留有内容的段
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# 清理可能引入的空字符串
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final_sentences = [s for s in final_sentences if s]
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# 清理可能引入的空字符串和仅包含空白的字符串
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final_sentences = [s for s in final_sentences if s.strip()] # 过滤掉空字符串以及仅包含空白(如换行符、空格)的字符串
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logger.debug(f"分割并合并后的句子: {final_sentences}")
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return final_sentences
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