python使用keras基于seq2seq实现人工智能中文聊天机器人代码-python代码-BFW代码库

python使用keras基于seq2seq实现人工智能中文聊天机器人代码

代码语言：python

代码描述：python使用keras基于seq2seq实现人工智能中文聊天机器人代码

代码标签： python keras seq2seq 人工智能中文聊天机器人代码

下面为部分代码预览，完整代码请点击下载或在bfwstudio webide中打开

#!/usr/local/python3/bin/python3
# -*- coding: utf-8 -*
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Input, LSTM, Dense
import numpy as np
import pandas as pd

# 定义模型超参数、迭代次数、语料路径
#Batch size 的大小
batch_size = 32
# 迭代次数epochs
epochs = 100
# 编码空间的维度Latent dimensionality
latent_dim = 256
# 要训练的样本数
num_samples = 9
#设置语料的路径
data_path = '/data/wwwroot/default/dataset/ask/askbot.txt'

# 把语料向量化
input_texts = []
target_texts = []
input_characters = set()
target_characters = set()

with open(data_path, 'r', encoding='utf-8') as f:
    lines = f.read().split('\n')
for line in lines[: min(num_samples, len(lines))]:
    # print(line)
    input_text, target_text = line.split('|')
    target_text = target_text[0:100]
    target_text = '\t' + target_text + '\n'
    input_texts.append(input_text)
    target_texts.append(target_text)

    for char in input_text:
        if char not in input_characters:
            input_characters.add(char)
    for char in target_text:
        if char not in target_cha.........完整代码请登录后点击上方下载按钮下载查看