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Example Python program GUI.py Python version 3.x or newer. To check the Python version use:

python --version

Modules

#--------------------import modules---------------
from tkinter import messagebox
import tkinter
import tweepy
import time
from tweepy.api import API
from tweepy import Stream
from tweepy import OAuthHandler
from tweepy.streaming import StreamListener, json
from textblob import TextBlob
import matplotlib.pyplot as plt
import numpy as np
import _json
import csv
#from tkinter import *
import os

Methods

def per(p, w):
def comp():
def analyzer():

Code

Python tkinter example

""" Aim: This code is used to fatch tweets using keyword. Analysis that tweet using textblob and sentiment. Convert result into pie chart. It also compare two person tweet and
         find who's tweet is more positive and nagetive and convert result into graph. csv file are used to store data.
    Ref:
          https://stackoverflow.com/questions/42559155/find-trending-tweets-with-tweepy-for-a-specific-keyword
          https://media.readthedocs.org/pdf/tweepy/latest/tweepy.pdf
          https://developer.twitter.com/en/docs/accounts-and-users/follow-search-get-users/api-reference/get-followers-ids
"""
#--------------------import modules---------------
from tkinter import messagebox

import tkinter
import tweepy
import time
from tweepy.api import API
from tweepy import Stream
from tweepy import OAuthHandler
from tweepy.streaming import StreamListener, json
from textblob import TextBlob
import matplotlib.pyplot as plt
import numpy as np
import _json
import csv

#from tkinter import *
import os

#---------- define empty lists---------------
x_axis = []
y_axis = []
id_list=[]
tweet11=[]

#---------- define percentage function ----------
def per(p, w):
    return 100 * float(p) / float(w)

#---------- define comparision function which compare two pwrson tweets----------

def comp():
    global x_axis           # call global list
    global y_axis
    if os.path.isfile("modi_vs_trump.csv"):         #check file is there or not
     with open("modi_vs_trump.csv") as f:              #if there
        data = csv.reader(f, delimiter=' ')            #read data into csv file
        for r1 in data:
            temp = ",".join(r1)
           # print(temp)
            pola,subj=temp.split(",")               #split data when it find ,
            #print("type:",type(pola))
            pola1 = format(float(pola), '.2f')      # convert into two decimal floating point
            subj1 = format(float(subj), '.2f')
            x_axis.append(pola1)                    # append data into global list
            y_axis.append(subj1)

        #------------ ploting data into graph-----------

        print("x", x_axis)
        print("y", y_axis)
        plt.plot(x_axis, label="modi",color='orange')
        plt.plot(y_axis,label="trump",color='blue')
        plt.xlabel('polarity')
        plt.ylabel('subjectivity')
        plt.title('Line graph modi vs trump')
        plt.legend()
        plt.show()
    else:
        messagebox._show("error","NO file found")       #file not there show error messege pop up

#------------- define function for serching keyword in all tweets------------

def analyzer():
    #--------- secret key portion---------------
    API_KEY = 'dtVlycy0oLWVuUZu0XlnKi3Jn'
    API_SECRET = 'ycNRFfQ4CNQHz3ybqSVBg0iq0RAfyypqhDUkvsh6Pt3mBxDcfD'
    ACCESS_TOKEN = '985966341638115328-4LoymgCXxnPoQBFMhqzgdMjfQo6OvyY'
    ACCESS_TOKEN_SECRET = '6bP5E6XF8XyKtnL4tGi678NtQXIOVSTbPBdw54Jc2LCDu'

    #--------- connect client with twitter account-----------

    auth = tweepy.OAuthHandler(API_KEY, API_SECRET)
    auth.set_access_token(ACCESS_TOKEN, ACCESS_TOKEN_SECRET)
    api = tweepy.API(auth)

    #searchterm = input("enter keyword for search:")
    searchterm=name.get()
    no_Search1 = addr.get()
    if searchterm == "" and no_Search1=="":         #if data not enter then show error box
        messagebox.showinfo("No data found", "Check entered details")
        quit()
    else:

        modi_po=[]
        trump_po=[]
        no_Search=int(no_Search1)       #convert into integer
        trump_tweets = api.user_timeline(screen_name="realDonaldTrump", count=20)   # fatch 20 tweets of trump
        for t in trump_tweets:

            print(t.text)       #print its tweet
        modi_tweets=api.user_timeline(screen_name="narendramodi", count=20)         # fatch 20 tweet of modi
        for t1 in modi_tweets:
            modi_tweet=TextBlob(t1.text)            #anaylze modi tweet

            po,su=modi_tweet.sentiment              # find it polarity
            modi_po.append(po)                      # append polarity to list
        for t2 in trump_tweets:
            trump_tweet=TextBlob(t2.text)
            po1,su1=trump_tweet.sentiment
            trump_po.append(po1)

        #---------- write data into csv file----------------

        i=0
        while i<len(trump_po):                                  #continue until length of list
            with open("modi_vs_trump.csv", "a") as f:              #open file
                no=modi_po[i]                                   # take 1st value from list
                #print("no:",no)
                no1=trump_po[i]
                f.write(str(no))                            # write data into file
                f.write(",")
                f.write(str(no1))
                f.write("\n")
                f.close()
                i+=1
        tweets = tweepy.Cursor(api.search, q=searchterm).items(no_Search)

        positive = 0
        negative = 0
        neutral = 0
        polarity = 0

        for tweet in tweets:
            all_data=TextBlob(tweet.text)       # analysis of tweets
           #print(tweet.text)
            global id_list,tweet11
            p,s=all_data.sentiment
        #--------------write data into file---------------
            with open("twitter_pol.csv","a") as f:
                f.write(str(p))
                f.write(",")
                f.write(str(s))
                f.write("\n")
                f.close()

        #if s*100>0:

            #print("tweet exted:",tweet11.text)
            analysis= TextBlob(tweet.text)
            polarity+=analysis.sentiment.polarity
    #------------conut positivity negativity and neutral--------------
            if analysis.sentiment.polarity==0:
                neutral+=1
            elif analysis.sentiment.polarity<0.00:
                negative+=1
            elif analysis.sentiment.polarity>0.00:
                positive+=1
        #print(tweet)

#-----------find it's percentage value and convert into 2 decimal floating point-------------

        positive=per(positive,no_Search)
        positive = format(positive, '.2f')
        negative=per(negative,no_Search)
        negative = format(negative, '.2f')
        neutral=per(neutral,no_Search)
        neutral = format(neutral, '.2f')
#----------ploting data into pie-chart---------------------
        labels=['positive['+str(positive)+'%]','neutral['+str(neutral)+'%]','negative['+str(negative)+'%]']
        sizes=[positive,neutral,negative]
        colors=["yellow","green","red"]
        patches,text=plt.pie(sizes, colors=colors)
        plt.legend(patches,labels,loc="best")
        plt.title("Analysis of tweeter tweet")
        plt.axis('equal')
        plt.show()
#-----------GUI design--------------------
root=tkinter.Tk()   #create new window
root.config(bg="skyblue")

root.title("TWEET ANALYZER")   #give title to window
c2=tkinter.Canvas(width=590, height=350,bg="skyblue")
label1=tkinter.Label(c2,text="enter world for tweet",font=(15))# create label
label1.place(x=10,y=20) #place label
label1.config(bg="skyblue")
name=tkinter.Entry(root,bd=5)   #create entry box
name.place(x=250,y=22)  #place it

label2=tkinter.Label(c2,text="Number of tweets to analyze",font=(15))#create label
label2.place(x=10,y=85)
label2.config(bg="skyblue")
addr=tkinter.Entry(c2,bd=5)
addr.place(x=250,y=87)
button1=tkinter.Button(c2,text="Random Word Analysis" ,command=analyzer)  #when save button cliked then savedata method called
button2=tkinter.Button(c2,text="Modi VS Trump", command=comp)
button1.place(x=140,y=190)
button2.place(x=320,y=190)
button1.config(bg="skyblue")
button2.config(bg="skyblue")
c2.pack()
root.mainloop()

Useful Links

Articles: https://python-commandments.org/
Python shell: https://bsdnerds.org/learn-python/
Tutorial: https://pythonprogramminglanguage.com/