如何使用 pickle 保存聊天机器人模型

how to save chatbot model using pickle

我使用 chatterbottkinter 库创建了一个 Chatbot。 但每当我打开文件时,它都会启动 训练模型 并花费大量时间,因此我搜索并找到 pickle 模块的解决方案。 但是现在我也试过泡菜它不起作用并显示错误。

有什么办法可以挽救模型每次都不会开始训练。这是我的代码

import chatterbot
import pickle
from chatterbot import ChatBot
from chatterbot.trainers import ListTrainer
import os
import tkinter as tk
try:
    import ttk as ttk
    import ScrolledText
except ImportError:
    import tkinter.ttk as ttk
    import tkinter.scrolledtext as ScrolledText
import time


class TkinterGUIExample(tk.Tk):

    def __init__(self, *args, **kwargs):
        """
        Create & set window variables.
        """
        tk.Tk.__init__(self, *args, **kwargs)

        self.chatbot = ChatBot(
            "GUI Bot",

            storage_adapter="chatterbot.storage.SQLStorageAdapter",
            logic_adapters=[{
                'import_path': 'chatterbot.logic.BestMatch',
                'default_response': 'I am sorry, but I do not understand.',
                'maximum_similarity_threshold': 0.80
} ]



        )



        for files in os.listdir('C:/Users/HP/Desktop/FYP BOT/training_data/'):
            con=open('C:/Users/HP/Desktop/FYP BOT/training_data/'+files,'r').readlines()
            trainer = ListTrainer(self.chatbot)
            trainer.train(con)
        self.title("Chatterbot")

        self.initialize()

    def initialize(self):
        """
        Set window layout.
        """
        self.grid()

        ttk.Style().configure("TButton", padding=6, relief="flat",background="#ccc")
        style = ttk.Style()
        style.map("C.TButton",
            foreground=[('pressed', 'red'), ('active', 'blue')],
            background=[('pressed', '!disabled', 'black'), ('active', 'white')]
            )


        self.respond = ttk.Button(self, text='Get Response',cursor='hand2' ,command=self.get_response)
        self.respond.grid(column=1, row=2, sticky='nesw', padx=3, pady=10)




        self.usr_input = tk.Entry(self, state='normal',text='Enter your query here!')
        self.usr_input.grid(column=0, row=2, sticky='nesw', padx=1, pady=5)

        #Binding entry
        self.usr_input.bind('<Return>',self.get_response)


        self.conversation_lbl = tk.Label(self,
                                         text='English',
                                         anchor='center',
                                         font=('Arial Bold ',18),
                                         bg="#3a8fc5",
                                         fg="white")
        self.conversation_lbl.grid(column=0, row=0,columnspan=2, padx=3, pady=3,sticky='news')
        self.conversation = ScrolledText.ScrolledText(self,
                                                      state='disabled',borderwidth=5,
                                                      highlightthickness=1,
                                                      bg='#15202b',fg='#16202A',
                                                      font=('Arial Bold',8))

        self.conversation.grid(column=0, row=1, columnspan=2, sticky='nesw', padx=3, pady=3)


    def get_response(self,*args):
        """
        Get a response from the chatbot and display it.
        """
        user_input = self.usr_input.get()
        self.usr_input.delete(0, tk.END)

        response = self.chatbot.get_response(user_input)

        self.conversation['state'] = 'normal'
        '''----------------------------------------------
        self.conversation.tag_configure('tag-left', justify='left')
        self.conversation.insert('end',"Human: " + user_input + "\n", 'tag-left')

        self.conversation.tag_configure('tag-left', justify='right')
        self.conversation.insert('end',"ChatBot: " + str(response.text) + "\n\n\n", 'tag-right')'''

        label1 = tk.Label(self.conversation, 
                          text="Human: \n"+user_input, 
                          background='#3B5566',
                          fg='white',
                          font=("Helvetica", 12),
                          justify='left',
                          wraplength=300,
                          anchor='w',
                          padx=10, pady=5)
        label2 = tk.Label(self.conversation, 
                          text="ChatBot: \n"+str(response.text),
                          wraplength=300,
                          anchor='w',
                          background='#1D9DFC', 
                          fg='white',
                          font=("Helvetica", 12),
                          justify='left',
                          padx=10, pady=5)

        self.conversation.tag_configure('tag-left', justify='left')
        self.conversation.tag_configure('tag-right', justify='right')


        self.conversation.insert('end', '\n\n\n')
        self.conversation.window_create('end', window=label1)

        self.conversation.insert('end', '\n\n\n ', 'tag-right') # space to move Label to the right 
        self.conversation.window_create('end', window=label2)

        '''self.conversation.insert(
            tk.END, "Human: " + user_input + "\n" + "ChatBot: " + str(response.text) + "\n\n\n"
        )'''
        self.conversation['state'] = 'disabled'

        time.sleep(0.2)

gui_example = TkinterGUIExample()
gui_example.attributes('-topmost', True)
gui_example.update()
gui_example.attributes('-topmost', False)
gui_example.geometry('810x550+460+100')
gui_example.resizable(0, 0)
gui_example.configure(background='#3a8fc5')
gui_example.mainloop()

我还创建了 .exi 文件,但它也开始训练,所以有什么方法可以无误地保存它,当我在 main window 中调用这个脚本时脚本开始工作而不是训练等

你可以试试这个。它对我有用。当代码是 运行 第一次 trainer = ChatterBotCorpusTrainer(bot)trainer.train("static/chatterbot_data.yml") 用于训练机器人。它将在项目文件夹中生成一个文件 database.db。生成数据库文件后,如果语料库没有更多变化,则将下面的最后两行代码注释为 运行,无需重新训练。

代码:

## initialize chatter bot
bot = ChatBot(
    'robot',
    storage_adapter='chatterbot.storage.SQLStorageAdapter',
    preprocessors=[
        'chatterbot.preprocessors.clean_whitespace',
    ],
    logic_adapters=[
        {
            'import_path': 'chatterbot.logic.BestMatch',
            'default_response': 'I am sorry, but I do not understand.',
            'maximum_similarity_threshold': 0.90,
            'statement_comparison_function': chatterbot.comparisons.levenshtein_distance,
            'response_selection_method': chatterbot.response_selection.get_first_response
        },
        'chatterbot.logic.MathematicalEvaluation'
    ],
    database_uri='sqlite:///database.db',
    read_only=True
)


## training corpus list
## Disable these two lines below AFTER first run when a *.db file is generated in project directory
trainer = ChatterBotCorpusTrainer(bot)
trainer.train("static/chatterbot_data.yml")