📅  最后修改于: 2023-12-03 15:36:36.788000             🧑  作者: Mango
在今天的数字化时代,虚拟助手正在变得越来越普遍和受欢迎。人们可以使用它们来自动化许多日常任务,例如发送电子邮件、提醒日程安排、搜索互联网信息等。如果你是一名程序员,并且想了解如何使用Python构建自己的虚拟助手,那么这篇文章会给你提供一些有用的信息。
下面是使用Python构建虚拟助手的基本步骤:
安装必要的库
使用Python构建虚拟助手,我们需要安装一些开发库。其中,最重要的库之一是 pyttsx3
,它可以让我们的虚拟助手发出语音输出。另外还需要安装 SpeechRecognition
库、wikipedia
库、pywhatkit
库和 pyjokes
库等等,这些库在开发虚拟助手时非常有用。
下面是如何安装这些必要的库:
pip install pyttsx3
pip install SpeechRecognition
pip install wikipedia
pip install pywhatkit
pip install pyjokes
调用语音识别API
要让我们的虚拟助手能够识别语音输入,我们需要使用 SpeechRecognition
库。这个库旨在识别各种语言的语音输入,并将其转换为可供Python进一步处理的文本。
下面是如何使用它:
import speech_recognition as sr
r = sr.Recognizer()
with sr.Microphone() as source:
print("Speak now:")
audio = r.listen(source)
try:
print("You said: " + r.recognize_google(audio))
except sr.UnknownValueError:
print("Could not understand audio")
except sr.RequestError as e:
print("Error: {0}".format(e))
代码片段返回markdown格式:
import speech_recognition as sr
r = sr.Recognizer() with sr.Microphone() as source: print("Speak now:") audio = r.listen(source)
try: print("You said: " + r.recognize_google(audio)) except sr.UnknownValueError: print("Could not understand audio") except sr.RequestError as e: print("Error: {0}".format(e))
编写虚拟助手程序
现在,我们已经学会了如何导入必要的库并调用语音识别API。接下来,我们需要编写一个程序,用于处理从麦克风输入的语音,并调用一些有用的Python函数。
下面是一个简单的示例程序:
import pyttsx3
import speech_recognition as sr
import datetime
import wikipedia
import pywhatkit
import pyjokes
listener = sr.Recognizer()
engine = pyttsx3.init()
def talk(text):
engine.say(text)
engine.runAndWait()
def take_command():
try:
with sr.Microphone() as source:
print('listening...')
voice = listener.listen(source)
command = listener.recognize_google(voice)
command = command.lower()
if 'assistant' in command:
command = command.replace('assistant', '')
print(command)
except:
pass
return command
def run_assistant():
command = take_command()
print(command)
if 'time' in command:
time = datetime.datetime.now().strftime('%I:%M %p')
talk('Current time is ' + time)
elif 'search' in command:
command = command.replace('search', '')
pywhatkit.search(command)
elif 'who is' in command:
person = command.replace('who is', '')
info = wikipedia.summary(person, 1)
talk(info)
elif 'what is' in command:
thing = command.replace('what is', '')
info = wikipedia.summary(thing, 1)
talk(info)
elif 'joke' in command:
talk(pyjokes.get_joke())
else:
talk('Sorry, I did not understand your command.')
while True:
run_assistant()
代码片段返回markdown格式:
import pyttsx3 import speech_recognition as sr import datetime import wikipedia import pywhatkit import pyjokes
listener = sr.Recognizer() engine = pyttsx3.init() def talk(text): engine.say(text) engine.runAndWait()
def take_command(): try: with sr.Microphone() as source: print('listening...') voice = listener.listen(source) command = listener.recognize_google(voice) command = command.lower() if 'assistant' in command: command = command.replace('assistant', '') print(command) except: pass return command
def run_assistant(): command = take_command() print(command) if 'time' in command: time = datetime.datetime.now().strftime('%I:%M %p') talk('Current time is ' + time) elif 'search' in command: command = command.replace('search', '') pywhatkit.search(command) elif 'who is' in command: person = command.replace('who is', '') info = wikipedia.summary(person, 1) talk(info) elif 'what is' in command: thing = command.replace('what is', '') info = wikipedia.summary(thing, 1) talk(info) elif 'joke' in command: talk(pyjokes.get_joke()) else: talk('Sorry, I did not understand your command.')
while True: run_assistant()
通过将这些代码片段组合在一起,你就可以构建你自己的虚拟助手,让它帮助你自动化许多日常任务。无论是搜索信息、提醒日程安排、给你讲笑话,还是处理其他任务,你的虚拟助手都可以轻松搞定。