如何对字符串数组运行spaCy的句子相似度函数以获得分数数组？

import spacy

# 加载语言模型
nlp = spacy.load("en_core_web_sm")

# 字符串数组
sentences = ["I love coding", "Coding is fun", "Programming is interesting"]

# 分数数组
scores = []

# 对每个句子计算相似度分数
for i in range(len(sentences)):
    for j in range(i+1, len(sentences)):
        # 处理句子
        doc1 = nlp(sentences[i])
        doc2 = nlp(sentences[j])
        
        # 计算相似度分数
        score = doc1.similarity(doc2)
        
        # 添加到分数数组
        scores.append(score)

# 打印分数数组
print(scores)