泉州免费建站模板,域名申请的方法,服务平台型网站,梅州市做试块网站德米特里祖布☀️ 一、介绍 正如您从标题中看到的#xff0c;这是一个演示项目#xff0c;显示了一个非常基本的语音助手脚本#xff0c;可以根据 Google 搜索结果在终端中回答您的问题。 您可以在 GitHub 存储库中找到完整代码#xff1a;dimitryzub/serpapi-demo-project… 德米特里·祖布☀️ 一、介绍 正如您从标题中看到的这是一个演示项目显示了一个非常基本的语音助手脚本可以根据 Google 搜索结果在终端中回答您的问题。 您可以在 GitHub 存储库中找到完整代码dimitryzub/serpapi-demo-projects/speech-recognition/cli-based/ 后续博客文章将涉及
使用Flask、一些 HTML、CSS 和 Javascript 的基于 Web 的解决方案。使用Flutter和Dart的基于 Android 和 Windows 的解决方案。
二、我们将在这篇博文中构建什么 2.1 环境准备 首先让我们确保我们处于不同的环境中并正确安装项目所需的库。最难可能是 安装 .pyaudio关于此种困难可以参看下文克服 [解决]修复 win 32/64 位操作系统上的 PyAudio pip 安装错误 2.2 虚拟环境和库安装 在开始安装库之前我们需要为此项目创建并激活一个新环境
# if youre on Linux based systems
$ python -m venv env source env/bin/activate
$ (env) path# if youre on Windows and using Bash terminal
$ python -m venv env source env/Scripts/activate
$ (env) path# if youre on Windows and using CMD
python -m venv env .\env\Scripts\activate
$ (env) path 解释python -m venv env告诉 Python 运行 module( -m)venv并创建一个名为 的文件夹env。代表“与”。source venv_name/bin/activate将激活您的环境并且您将只能在该环境中安装库。 现在安装所有需要的库
pip install rich pyttsx3 SpeechRecognition google-search-results 现在到pyaudio. 请记住pyaudio安装时可能会引发错误。您可能需要进行额外的研究。 如果您使用的是 Linux我们需要安装一些开发依赖项才能使用pyaudio
$ sudo apt-get install -y libasound-dev portaudio19-dev
$ pip install pyaudio
如果您使用的是 Windows则更简单使用 CMD 和 Git Bash 进行测试
pip install pyaudio
三、完整代码
import os
import speech_recognition
import pyttsx3
from serpapi import GoogleSearch
from rich.console import Console
from dotenv import load_dotenvload_dotenv(.env)
console Console()def main():console.rule([bold yellow]SerpApi Voice Assistant Demo Project)recognizer speech_recognition.Recognizer()while True:with console.status(statusListening you..., spinnerpoint) as progress_bar:try:with speech_recognition.Microphone() as mic:recognizer.adjust_for_ambient_noise(mic, duration0.1)audio recognizer.listen(mic)text recognizer.recognize_google(audio_dataaudio).lower()console.print(f[bold]Recognized text[/bold]: {text})progress_bar.update(statusLooking for answers..., spinnerline)params {api_key: os.getenv(API_KEY),device: desktop,engine: google,q: text,google_domain: google.com,gl: us,hl: en}search GoogleSearch(params)results search.get_dict()try:if answer_box in results:try:primary_answer results[answer_box][answer]except:primary_answer results[answer_box][result]console.print(f[bold]The answer is[/bold]: {primary_answer})elif knowledge_graph in results:secondary_answer results[knowledge_graph][description]console.print(f[bold]The answer is[/bold]: {secondary_answer})else:tertiary_answer results[answer_box][list]console.print(f[bold]The answer is[/bold]: {tertiary_answer})progress_bar.stop() # if answered is success - stop progress bar.user_promnt_to_contiune_if_answer_is_success input(Would you like to to search for something again? (y/n) )if user_promnt_to_contiune_if_answer_is_success y:recognizer speech_recognition.Recognizer()continue # run speech recognizion again until user_promt nelse:console.rule([bold yellow]Thank you for cheking SerpApi Voice Assistant Demo Project)breakexcept KeyError:progress_bar.stop()error_user_promt input(Sorry, didnt found the answer. Would you like to rephrase it? (y/n) )if error_user_promt y:recognizer speech_recognition.Recognizer()continue # run speech recognizion again until user_promt nelse:console.rule([bold yellow]Thank you for cheking SerpApi Voice Assistant Demo Project)breakexcept speech_recognition.UnknownValueError:progress_bar.stop()user_promt_to_continue input(Sorry, not quite understood you. Could say it again? (y/n) )if user_promt_to_continue y:recognizer speech_recognition.Recognizer()continue # run speech recognizion again until user_promt nelse:progress_bar.stop()console.rule([bold yellow]Thank you for cheking SerpApi Voice Assistant Demo Project)breakif __name__ __main__:main()
四、代码说明
导入库
import os
import speech_recognition
import pyttsx3
from serpapi import GoogleSearch
from rich.console import Console
from dotenv import load_dotenv
rich用于在终端中进行漂亮格式化的 Python 库。pyttsx3Python 的文本到语音转换器可离线工作。SpeechRecognition用于将语音转换为文本的 Python 库。google-search-resultsSerpApi 的 Python API 包装器可解析来自 15 个以上搜索引擎的数据。os读取秘密环境变量。在本例中它是 SerpApi API 密钥。dotenv从文件加载环境变量SerpApi API 密钥.env。.env文件可以重命名为任何文件.napoleon .点代表环境变量文件。
定义rich Console(). 它将用于美化终端输出动画等
console Console()
定义main所有发生的函数
def main():console.rule([bold yellow]SerpApi Voice Assistant Demo Project)recognizer speech_recognition.Recognizer()
在函数的开头我们定义speech_recognition.Recognizer()并将console.rule创建以下输出
───────────────────────────────────── SerpApi Voice Assistant Demo Project ─────────────────────────────────────
下一步是创建一个 while 循环该循环将不断监听麦克风输入以识别语音
while True:with console.status(statusListening you..., spinnerpoint) as progress_bar:try:with speech_recognition.Microphone() as mic:recognizer.adjust_for_ambient_noise(mic, duration0.1)audio recognizer.listen(mic)text recognizer.recognize_google(audio_dataaudio).lower()console.print(f[bold]Recognized text[/bold]: {text})
console.status-rich进度条仅用于装饰目的。speech_recognition.Microphone()开始从麦克风拾取输入。recognizer.adjust_for_ambient_noise旨在根据环境能量水平校准能量阈值。recognizer.listen监听实际的用户文本。recognizer.recognize_google使用 Google Speech Recongition API 执行语音识别。lower()是降低识别文本。console.print允许使用文本修改的语句rich print例如添加粗体、斜体等。
spinnerpoint将产生以下输出使用python -m rich.spinner查看列表spinners 之后我们需要初始化 SerpApi 搜索参数以进行搜索
progress_bar.update(statusLooking for answers..., spinnerline)
params {api_key: os.getenv(API_KEY), # serpapi api key device: desktop, # device used for engine: google, # serpapi parsing engine: https://serpapi.com/statusq: text, # search query google_domain: google.com, # google domain: https://serpapi.com/google-domainsgl: us, # country of the search: https://serpapi.com/google-countrieshl: en # language of the search: https://serpapi.com/google-languages# other parameters such as locations: https://serpapi.com/locations-api
}
search GoogleSearch(params) # where data extraction happens on the SerpApi backend
results search.get_dict() # JSON - Python dict
progress_bar.update将会progress_bar用新的status控制台中打印的文本进行更新spinnerline并将产生以下动画 之后使用 SerpApi 的Google 搜索引擎 API从 Google 搜索中提取数据。
代码的以下部分将执行以下操作 try:if answer_box in results:try:primary_answer results[answer_box][answer]except:primary_answer results[answer_box][result]console.print(f[bold]The answer is[/bold]: {primary_answer})elif knowledge_graph in results:secondary_answer results[knowledge_graph][description]console.print(f[bold]The answer is[/bold]: {secondary_answer})else:tertiary_answer results[answer_box][list]console.print(f[bold]The answer is[/bold]: {tertiary_answer})progress_bar.stop() # if answered is success - stop progress baruser_promnt_to_contiune_if_answer_is_success input(Would you like to to search for something again? (y/n) )if user_promnt_to_contiune_if_answer_is_success y:recognizer speech_recognition.Recognizer()continue # run speech recognizion again until user_promt nelse:console.rule([bold yellow]Thank you for cheking SerpApi Voice Assistant Demo Project)breakexcept KeyError:progress_bar.stop() # if didnt found the answer - stop progress barerror_user_promt input(Sorry, didnt found the answer. Would you like to rephrase it? (y/n) )if error_user_promt y:recognizer speech_recognition.Recognizer()continue # run speech recognizion again until user_promt nelse:console.rule([bold yellow]Thank you for cheking SerpApi Voice Assistant Demo Project)break
最后一步是处理麦克风没有拾取声音时的错误
# while True:
# with console.status(statusListening you..., spinnerpoint) as progress_bar:
# try:# speech recognition code# data extraction codeexcept speech_recognition.UnknownValueError:progress_bar.stop() # if didnt heard the speech - stop progress baruser_promt_to_continue input(Sorry, not quite understood you. Could say it again? (y/n) )if user_promt_to_continue y:recognizer speech_recognition.Recognizer()continue # run speech recognizion again until user_promt nelse:progress_bar.stop() # if want to quit - stop progress barconsole.rule([bold yellow]Thank you for cheking SerpApi Voice Assistant Demo Project)break
console.rule()将提供以下输出
───────────────────── Thank you for cheking SerpApi Voice Assistant Demo Project ──────────────────────
添加if __name__ __main__惯用语以防止用户在无意时意外调用某些脚本并调用main将运行整个脚本的函数
if __name__ __main__:main()
五、链接
richpyttsx3SpeechRecognitiongoogle-search-resultsosdotenv
