How to calculate probability in a normal distribution given mean and standard deviation in Python?

Language Detection in Python using Tkinter

Last Updated : 25 Feb, 2021

Prerequisite: Tkinter

In this article, we will learn about language detection Using Python in Tkinter. In Simple Words, language identification is the problem of determining which natural language given content is in.

Modules Used

Tkinter module is used in Python to create GUI based interfaces.
For Language detection, we will use the langdetect Module. langdetect Module is a port of Google’s language-detection library that supports 55 languages. This module doesn’t come with Python’s standard utility modules. So, it is needed to be installed externally. To install this type the below command in the terminal.

pip install langdetect

The detected language output is coming in code, it is not displaying the language name. Here we will use languages Class From the iso-639 Module. This Module is used for converting language code into language name. To install run the command given below:

pip install iso-639

Approach

Import module
Create window
Add button
Add mechanism to detect language
Add mechanism to translate code
Execute code

Program:

Python3

# Import Module 
from tkinter import *
from langdetect import *
from iso639 import languages 
  
# Create Object 
root = Tk() 
  
# Set geometry 
root.geometry("400x500") 
  
def language_detection(): 
    text = T.get("1.0", 'end-1c') 
  
    # Get Language code 
    language_code = languages.get(alpha2=detect(text)) 
    l_d.config(text="Language Detected:- "+language_code.name) 
  
  
# Text Box 
T = Text(root) 
T.pack() 
  
# label 
l_d = Label(root, text="Language Detected:- ") 
l_d.pack(pady=10) 
  
# Button 
Button(root, text='Detect Language', command=language_detection).pack(pady=10) 
  
# Execute Mainloop 
root.mainloop() 

Output:

How to calculate probability in a normal distribution given mean and standard deviation in Python?

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