import speech_recognition as sr import smtplib # import pyaudio # import platform # import sys from bs4 import BeautifulSoup import email import imaplib from gtts import gTTS import pyglet import os, time #pyglet.lib.load_library('avbin') #pyglet.have_avbin=True #project: :. Project: Voice based Email for blind :. # Author: Sayak Naskar #fetch project name tts = gTTS(text="Project: Voice based Email for blind", lang='en') ttsname=("path/name.mp3") #Example: path -> C:\Users\sayak\Desktop> just change with your desktop directory. Don't use my directory. tts.save(ttsname) music = pyglet.media.load(ttsname, streaming = False) music.play() time.sleep(music.duration) os.remove(ttsname) #login from os login = os.getlogin print ("You are logging from : "+login()) #choices print ("1. composed a mail.") tts = gTTS(text="option 1. composed a mail.", lang='en') ttsname=("path/hello.mp3") #Example: path -> C:\Users\sayak\Desktop> just change with your desktop directory. Don't use my directory. tts.save(ttsname) music = pyglet.media.load(ttsname, streaming = False) music.play() time.sleep(music.duration) os.remove(ttsname) print ("2. Check your inbox") tts = gTTS(text="option 2. Check your inbox", lang='en') ttsname=("hello.mp3") tts.save(ttsname) music = pyglet.media.load(ttsname, streaming = False) music.play() time.sleep(music.duration) os.remove(ttsname) #this is for input choices tts = gTTS(text="Your choice ", lang='en') ttsname=("path/hello.mp3") #Example: path -> C:\Users\sayak\Desktop> just change with your desktop directory. Don't use my directory. tts.save(ttsname) music = pyglet.media.load(ttsname, streaming = False) music.play() time.sleep(music.duration) os.remove(ttsname) #voice recognition part r = sr.Recognizer() with sr.Microphone() as source: print ("Your choice:") audio=r.listen(source) print ("ok done!!") try: text=r.recognize_google(audio) print ("You said : "+text) except sr.UnknownValueError: print("Google Speech Recognition could not understand audio.") except sr.RequestError as e: print("Could not request results from Google Speech Recognition service; {0}".format(e)) #choices details if int(text) == 1: r = sr.Recognizer() #recognize with sr.Microphone() as source: print ("Your message :") audio=r.listen(source) print ("ok done!!") try: text1=r.recognize_google(audio) print ("You said : "+text1) msg = text1 except sr.UnknownValueError: print("Google Speech Recognition could not understand audio.") except sr.RequestError as e: print("Could not request results from Google Speech Recognition service; {0}".format(e)) mail = smtplib.SMTP('smtp.gmail.com',587) #host and port area mail.ehlo() #Hostname to send for this command defaults to the FQDN of the local host. mail.starttls() #security connection mail.login('emailID','pswrd') #login part mail.sendmail('emailID','victimID',msg) #send part print ("Congrates! Your mail has send. ") tts = gTTS(text="Congrates! Your mail has send. ", lang='en') ttsname=("path/send.mp3") #Example: path -> C:\Users\sayak\Desktop> just change with your desktop directory. Don't use my directory. tts.save(ttsname) music = pyglet.media.load(ttsname, streaming = False) music.play() time.sleep(music.duration) os.remove(ttsname) mail.close() if int(text) == 2: mail = imaplib.IMAP4_SSL('imap.gmail.com',993) #this is host and port area.... ssl security unm = ('your mail/ victim mail') #username psw = ('pswrd') #password mail.login(unm,psw) #login stat, total = mail.select('Inbox') #total number of mails in inbox print ("Number of mails in your inbox :"+str(total)) tts = gTTS(text="Total mails are :"+str(total), lang='en') #voice out ttsname=("path/total.mp3") #Example: path -> C:\Users\sayak\Desktop> just change with your desktop directory. Don't use my directory. tts.save(ttsname) music = pyglet.media.load(ttsname, streaming = False) music.play() time.sleep(music.duration) os.remove(ttsname) #unseen mails unseen = mail.search(None, 'UnSeen') # unseen count print ("Number of UnSeen mails :"+str(unseen)) tts = gTTS(text="Your Unseen mail :"+str(unseen), lang='en') ttsname=("path/unseen.mp3") #Example: path -> C:\Users\sayak\Desktop> just change with your desktop directory. Don't use my directory. tts.save(ttsname) music = pyglet.media.load(ttsname, streaming = False) music.play() time.sleep(music.duration) os.remove(ttsname) #search mails result, data = mail.uid('search',None, "ALL") inbox_item_list = data[0].split() new = inbox_item_list[-1] old = inbox_item_list[0] result2, email_data = mail.uid('fetch', new, '(RFC822)') #fetch raw_email = email_data[0][1].decode("utf-8") #decode email_message = email.message_from_string(raw_email) print ("From: "+email_message['From']) print ("Subject: "+str(email_message['Subject'])) tts = gTTS(text="From: "+email_message['From']+" And Your subject: "+str(email_message['Subject']), lang='en') ttsname=("path/mail.mp3") #Example: path -> C:\Users\sayak\Desktop> just change with your desktop directory. Don't use my directory. tts.save(ttsname) music = pyglet.media.load(ttsname, streaming = False) music.play() time.sleep(music.duration) os.remove(ttsname) #Body part of mails stat, total1 = mail.select('Inbox') stat, data1 = mail.fetch(total1[0], "(UID BODY[TEXT])") msg = data1[0][1] soup = BeautifulSoup(msg, "html.parser") txt = soup.get_text() print ("Body :"+txt) tts = gTTS(text="Body: "+txt, lang='en') ttsname=("path/body.mp3") #Example: path -> C:\Users\sayak\Desktop> just change with your desktop directory. Don't use my directory. tts.save(ttsname) music = pyglet.media.load(ttsname, streaming = False) music.play() time.sleep(music.duration) os.remove(ttsname) mail.close() mail.logout()
Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.
OneCompiler's python online editor supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample python program which takes name as input and print your name with hello.
import sys
name = sys.stdin.readline()
print("Hello "+ name)
Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It's is highly productive and efficient making it a very popular language.
When ever you want to perform a set of operations based on a condition IF-ELSE is used.
if conditional-expression
#code
elif conditional-expression
#code
else:
#code
Indentation is very important in Python, make sure the indentation is followed correctly
For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.
mylist=("Iphone","Pixel","Samsung")
for i in mylist:
print(i)
While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.
while condition
#code
There are four types of collections in Python.
List is a collection which is ordered and can be changed. Lists are specified in square brackets.
mylist=["iPhone","Pixel","Samsung"]
print(mylist)
Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
Below throws an error if you assign another value to tuple again.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
myTuple[1]="onePlus"
print(myTuple)
Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.
myset = {"iPhone","Pixel","Samsung"}
print(myset)
Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.
mydict = {
"brand" :"iPhone",
"model": "iPhone 11"
}
print(mydict)
Following are the libraries supported by OneCompiler's Python compiler
Name | Description |
---|---|
NumPy | NumPy python library helps users to work on arrays with ease |
SciPy | SciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation |
SKLearn/Scikit-learn | Scikit-learn or Scikit-learn is the most useful library for machine learning in Python |
Pandas | Pandas is the most efficient Python library for data manipulation and analysis |
Matplotlib | Matplotlib is a cross-platform, data visualization and graphical plotting library for Python programming and it's numerical mathematics extension NumPy |
DOcplex | DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling |