• The json library can parse JSON from strings or files. The library parses JSON into a Python dictionary or list. It can also convert Python dictionaries or lists into JSON strings.
• pyttsx3 is a text-to-speech conversion library in Python. Unlike alternative libraries, it works offline, and is compatible with both Python 2 and 3.
• The OS module in python provides functions for interacting with the operating system. OS, comes under Python's standard utility modules.
• difflib: This module provides classes and functions for comparing sequences.

 pip install json
 pip install pyttsx3
 pip install os
 pip install difflib

PS: json, os and difflib are mostly available with python distribution, if not use the above commands accordingly. pyttsx3 has to be installed.

 import json
 import pyttsx3
 import os
 from difflib import get_close_matches

 engine = pyttsx3.init('sapi5')
 voices = engine.getProperty('voices')

 engine.setProperty('voice',voices[0].id)

sapi5 is a referance to male voice for windows. Init() is a function to create an object of pyttsx3 type. getproperty() gets the current value of an engine property. sewproperty() queues a command to set an engine property. The new property value affects all utterances queued after this command.

 words_data = json.load(open("file name/location"))

Its pretty simple, we are basically taking a json file which contains all the wordmeanings in the form of a list of dictionaries. We need to include this file. This file is available in out github repossitory.

 def word_meaning(word):
  
     word = word.lower()

     if word in words_data:
         return words_data[word]
  
     elif word.title() in words_data:
         return words_data[word.title()]
  
     elif word.upper() in words_data:
         return words_data[word.upper()]
  
     elif len(get_close_matches(word, words_data.keys())) >0:
  
         similar_words_list = list(map(str, get_close_matches(word, words_data.keys())))

         ans = input("Did you mean %s instead? Enter 'Y' If yes or 'N' if No " % similar_words_list)
    
         if ans.lower() == 'y':
             index = input("Enter the position number of word to select the word. Ex 1 or 2 or 3 : ")
             return word_meaning(get_close_matches(word, words_data.keys())[int(index)-1])
         elif ans.lower() == 'n':
             print("Word Doesnt exists. Please double check it!!!")
         else:
             print("Sorry, We don't understand you!!!!")
     else:
         print("Word Doesnt exists. Please double check it!!!")

This function takes the word in input, checks whether its a valid word or not i.e. its spelling is correct or not. If yes, it searches the word in the json file and on successful search it gives out the meaning that is stored in the file. If no, then it searches for the best match and gives the option to choose among the best matches. If the user approves the approximation then they get the meaning of the word. If not then there is no such word available.

 def speak(audio):
     engine.say(audio)
     engine.runAndWait()

It is an user defined function. The pyttsx3 function say() pronounces the actual audio. The runAndWait() function blocks while processing all currently queued commands. Invokes callbacks for engine notifications appropriately. Returns when all commands queued before this call are emptied from the queue.

 word = input("Enter a word :")

Here we need to enter the word to be searched.

 speak(word_meaning(word))

Lets evaluate this line inside out. 'word' is our input search which is passed to word_meaning() function which returns the meaning in text. This text is passed as a parameter to the speak function which pronounces the text given to it.