GUI和AI逻辑流程

问题描述 投票:0回答:1

作为一个自学项目,我使用我在python上学到的一些基础语音助手进行了一些研究。

Link to the code is here

我基本上将音频转换为文本,然后将其拆分为寻找关键字,然后触发响应或动作,这可能会说,这不是很聪明,但它暂时正在工作。

我怎么能找到关键词,是否有更好的方法,一种有效的方式,如果你愿意,还有一千行ifs和elifs?

我的另一个问题是,我为这个程序构建了一个GUI界面,所以我可以点击一个按钮与它进行交互,但问题是,单击按钮后窗口没有响应,原来这是一个已知的问题而我我不知道如何绕过它,因为我不知道线程,进程和队列的概念。我希望有人可以帮我解决我的问题。

我想指出,如果我必须为这个项目做任何学习,我会有兴趣这样做,因为整个项目背后的想法是学习如何编码或构建AI,这可能听起来很愚蠢

PS:我通过将函数保持在while循环中来实现,完成,总是监听功能或保持运行功能。我想找到一种方法来进行语音语音触发以及唤醒助手。在这方面的任何帮助将不胜感激。

还有,帮我为这位助手设一个名字,最好是女性。

代码在这里:

import os
import time
import random
import webbrowser
import tkinter as tk
from gtts import gTTS
from mutagen.mp3 import MP3
from PIL import ImageTk, Image
from playsound import playsound
import speech_recognition as sr
from weather import Weather, Unit

def startAssistant():
    keepRunning = 1
    while keepRunning is 1:
        mainFunction()
        if mainFunction() is 0: break

def doNothing(): print("I don't do anything apart from printing this line of course!")

def mainFunction():

    f = open("assistant.txt", "a")

    # Printing what a user is saying for better user experience
    def say(text):
        print(text)
        f.write("\n" + text + "\n")
        return text

    # This function will take inputs to talk back
    def talkBack(text, recordingName):
        # Variable Declaration
        extension = ".mp3"

        # Synthesising the reponse as speech
        tts = gTTS(text=say(text), lang="en-us")

        # Saving the response files
        fileName = recordingName + extension
        audioPath = "audioFiles\\"
        responseFile = audioPath + fileName

        # Checking to see if the file is already created
        if not os.path.exists(responseFile):
            tts.save(responseFile)
        # Playing the audio
        playsound(responseFile)

    # Initialising things here
    recognizer = sr.Recognizer()
    microphone = sr.Microphone()

    # Asking for input and saving that
    with microphone as source:
        print ("Speak:")
        audio = recognizer.listen(source)

    # Converting audio into text
    convertedAudio = recognizer.recognize_google(audio)
    convertedAudioSplit = convertedAudio.split()

    # Printing what was picked up when the user Spoke and also logging it
    print("\n" + convertedAudio + "\n")
    f.write("\n" + convertedAudio + "\n")

    # Start of a conversation
    if "hello" in convertedAudioSplit:
        talkBack("Hi, how are you doing today?", "hello")

    # Wishing people based on the time of the day  
    elif "morning" in convertedAudioSplit:
        talkBack("Good morning! The sun's shining bright, let's head out for a run. We'll get back and make a healthy breakfast for ourselves", "morning")
    elif "afternoon" in convertedAudioSplit:
        talkBack("Good afternoon! You must be hungry right about now, why don't you break for lunch?", "afternoon")
    elif "night" in convertedAudioSplit:
        talkBack("Nighty night sleepy pot! Get a good night's sleep while I learn more to be more helpful to you tomorrow.", "night")

    # Getting her information
    elif "doing" in convertedAudioSplit:
        talkBack("I am doing very good, Thank you for asking!", "doing")

    # Making the assistant open web browser with a URL
    elif "Google" in convertedAudioSplit:
        talkBack("Okay, lets get you to Google.", "google")
        # Opening the browser with the required URL
        webbrowser.open("https://www.google.com/", new = 1)

    # Brings the weather report
    elif "weather" in convertedAudioSplit:
        weatherVariable = Weather(unit=Unit.CELSIUS)
        location = weatherVariable.lookup_by_location('bangalore')
        condition = location.condition.text
        talkBack("It is {0} right now in Bengaluru.".format(condition), "weather")

    # Exiting the program on user's consent
    elif "exit" in convertedAudioSplit:
        talkBack("Sure, if that's what you want! I will miss you, have a good day.", "exit")
        return 0

    # If there is an UnknownValueError, this will kick in
    elif sr.UnknownValueError:
        talkBack("I am sorry, I couldn't quite get what you said. Could you please say that again?", "UnknownValueError")

    # When things go out of the box
    else:
        # Out of scope reply
        talkBack("I am a demo version. When you meet the completed me, you will be surprised.", "somethingElse")
        return 0

root = tk.Tk()

root.title("Voice Assistant")
mainFrame = tk.Frame(root, width = 1024, height = 720, bg = "turquoise", borderwidth = 5)

menu = tk.Menu(root)
root.config(menu=menu)
subMenu = tk.Menu(menu)

startButton = tk.Button(mainFrame, text="Interact", command = startAssistant)
startButton.place(relx = 0.5, rely = 1.0, anchor = tk.S)

menu.add_cascade(label="File", menu=subMenu)

subMenu.add_command(label="Do Nothing", command=doNothing)
subMenu.add_separator()
subMenu.add_command(label="Exit", command=root.quit)

mainFrame.pack()

root.mainloop()
python python-3.x tkinter speech-recognition text-to-speech
1个回答
© www.soinside.com 2019 - 2024. All rights reserved.