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News reader to read latest news from Npr news.
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‎auto_news_reader/README.md

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<h1 align=center> Auto News Reader</h1>
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This bot scraps latest international news from www.npr.org and reads them aloud.
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<h3 align=center>How to run</h3>
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- Create a virtual environment<br/>
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`python3 -m venv /path/to/new/virtual/environment`
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- Activate the virtual environment
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- Move to folder "auto_news_reader"
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- Install requirements from Requirements.txt<br/>
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`pip install -r Requirements.txt`
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- Run file "read_npr_news.py" and say "<b>news</b>" after it says "Python is listening".
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It will start reading the latest news from npr news.

‎auto_news_reader/Requirements.txt

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appdirs==1.4.4
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argcomplete==1.12.2
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arrow==1.2.1
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astroid==2.4.2
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async-generator==1.10
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attrs==21.2.0
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beautifulsoup4==4.10.0
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certifi==2020.12.5
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cffi==1.15.0
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charset-normalizer==2.0.7
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click==7.1.2
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colorama==0.4.3
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cryptography==35.0.0
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distlib==0.3.1
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filelock==3.0.12
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h11==0.12.0
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idna==3.3
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isort==5.5.1
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jaraco.context==4.1.1
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lazy-object-proxy==1.4.3
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mccabe==0.6.1
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more-itertools==8.10.0
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outcome==1.1.0
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packaging==20.8
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Pillow==8.0.1
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pipenv==2020.11.15
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pipx==0.15.6.0
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psycopg2==2.8.6
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pycparser==2.20
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pygame==2.0.2
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pylint==2.6.0
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pyOpenSSL==21.0.0
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pyparsing==2.4.7
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python-dateutil==2.8.2
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pytz==2020.4
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requests==2.26.0
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selenium==4.0.0
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six==1.15.0
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sniffio==1.2.0
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sortedcontainers==2.4.0
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soupsieve==2.2.1
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toml==0.10.1
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trio==0.19.0
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trio-websocket==0.9.2
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urllib3==1.26.7
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userpath==1.4.1
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virtualenv==20.3.1
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virtualenv-clone==0.5.4
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wrapt==1.12.1
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wsproto==1.0.0
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xmltodict==0.12.0

‎auto_news_reader/mySpeaker.py

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# Import the platform module to identify your OS
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import platform
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# If you are using Windows, use pyttsx3 for text to speech
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if platform.system() == "Windows":
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import pyttsx3
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try:
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engine = pyttsx3.init()
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except ImportError:
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pass
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except RuntimeError:
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pass
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voices = engine.getProperty('voices')
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engine.setProperty('voice', voices[1].id)
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engine.setProperty('rate', 150)
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engine.setProperty('volume', 1.2)
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def print_say(txt):
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print(txt)
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engine.say(txt)
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engine.runAndWait()
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# If you are using Mac or Linux, use gtts for text to speech
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if platform.system() == "Darwin" or platform.system() == "Linux":
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import os
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def print_say(texts):
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print(texts)
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texts = texts.replace('"','')
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texts = texts.replace("'","")
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os.system(f'gtts-cli --nocheck "{texts}" | mpg123 -q -')

‎auto_news_reader/read_npr_news.py

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from io import BytesIO
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import requests
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import bs4
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from pygame import mixer
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# Import functions from the local package
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from auto_news_reader.voice_to_text import voice_to_text
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from auto_news_reader.mySpeaker import print_say
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def news_brief():
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# Locate the website for the NPR news brief
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url = 'https://www.npr.org/podcasts/500005/npr-news-now'
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# Convert the source code to a soup string
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response = requests.get(url)
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soup = bs4.BeautifulSoup(response.text, 'html.parser')
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# Locate the tag that contains the mp3 files
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casts = soup.findAll('a', {'class': 'audio-module-listen'})
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# Obtain the web link for the mp3 file
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cast = casts[0]['href']
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# Remove the unwanted components in the link
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mp3 = cast.find("?")
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mymp3 = cast[0:mp3]
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# Play the mp3 using the pygame module
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mymp3 = requests.get(mymp3)
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voice = BytesIO()
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voice.write(mymp3.content)
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voice.seek(0)
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mixer.init()
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mixer.music.load(voice)
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mixer.music.play()
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while True:
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print_say('Python is listening…')
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inp = voice_to_text().lower()
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print_say(f'you just said: {inp}')
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if inp == "stop listening":
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print_say('Goodbye!')
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break
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# If "news" in your voice command, play news brief
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elif "news" in inp:
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news_brief()
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print_say("Playing the latest News now!")
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# Python listens in the background
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while True:
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background = voice_to_text().lower()
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# Stops playing if you say "stop playing"
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if "stop playing" in background:
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print_say("Stopping the news.")
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mixer.music.stop()
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break
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continue

‎auto_news_reader/voice_to_text.py

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import speech_recognition as sr
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speech = sr.Recognizer()
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def voice_to_text():
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voice_input = ""
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with sr.Microphone() as source:
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speech.adjust_for_ambient_noise(source)
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try:
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audio = speech.listen(source)
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voice_input = speech.recognize_google(audio)
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except sr.UnknownValueError:
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pass
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except sr.RequestError:
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pass
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except sr.WaitTimeoutError:
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pass
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return voice_input

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