Python程序写诗【训练1分钟】古诗生成

原创AI程序写诗：训练 一分钟，诗词一秒成！

先看看写出来什么诗~

来看看程序

from gensim.models import Word2Vec  # 词向量
from random import choice
from os.path import exists
from warnings import filterwarnings
filterwarnings('ignore')  # 不打印警告


class CONF:
    path = '古诗词.txt'  # 语料路径
    window = 16  # 滑窗大小
    min_count = 60  # 过滤低频字
    size = 125  # 词向量维度
    topn = 14  # 生成诗词的开放度
    model_path = 'word2vec'  # 模型路径


class Model:
    def __init__(self, window, topn, model):
        self.window = window
        self.topn = topn
        self.model = model  # 词向量模型
        self.chr_dict = model.wv.index2word  # 字典

    """模型初始化"""
    @classmethod
    def initialize(cls, config):
        if exists(config.model_path):
            # 模型读取
            model = Word2Vec.load(config.model_path)
        else:
            # 语料读取
            with open(config.path, encoding='utf-8') as f:
                ls_of_ls_of_c = [list(line.strip()) for line in f]
            # 模型训练和保存
            model = Word2Vec(ls_of_ls_of_c, config.size,
                             window=config.window, min_count=config.min_count)
            model.save(config.model_path)
        return cls(config.window, config.topn, model)

    """古诗词生成"""
    def poem_generator(self, title, form):
        # list_of_tuples --> list_of_strings 并过滤标点符号
        filter = lambda lst: [t[0] for t in lst if t[0] not in ['，', '。']]
        # 标题补全
        if len(title) < 4:
            if not title:
                title += choice(self.chr_dict)
            for _ in range(4 - len(title)):
                chrs = self.model.similar_by_word(title[-1], self.topn // 2)
                chrs = filter(chrs)
                char = choice([c for c in chrs if c not in title])
                title += char
        # 文本生成
        seq = list(title)
        for i in range(form[0]):
            for _ in range(form[1]):
                chrs = self.model.predict_output_word(
                    seq[-self.window:], max(self.topn, len(seq) + 1))
                chrs = filter(chrs)
                char = choice([c for c in chrs if c not in seq[len(title):]])
                seq.append(char)
            seq.append('，' if i % 2 == 0 else '。')
        # 返回标题+主体
        length = form[0] * (form[1] + 1)
        title = '《%s》' % ''.join(seq[:-length])
        poem = ''.join(seq[-length:])
        return title + '\n' + poem


def main(config=CONF):
    form = {'五言绝句': (4, 5), '七言绝句': (4, 7), '对联': (2, 9)}
    m = Model.initialize(config)
    while True:
        title = input('输入标题：').strip()
        try:
            poem = m.poem_generator(title, form['五言绝句'])
            print('\033[031m%s\033[0m' % poem)  # red
            poem = m.poem_generator(title, form['七言绝句'])
            print('\033[033m%s\033[0m' % poem)  # yellow
            poem = m.poem_generator(title, form['对联'])
            print('\033[036m%s\033[0m' % poem)  # purple
            print()
        except:
            pass


if __name__ == '__main__':
    main()

语料下载地址

https://gitee.com/arye/dl/tree/master/NLP/gensim%E6%96%87%E6%9C%AC%E7%94%9F%E6%88%90

关于程序的一些基础

猛戳→gensim词向量基础

更多诗词创作

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