Amir Arsalan Yavari arsalanyavari

How to run it:

First, store this Python code in any directory you prefer.
Next, create a Python virtual environment using the command python -m venv venv.
Then, activate the virtual environment with source ./venv/bin/activate and install the necessary dependencies using pip install numpy opencv-python opencv-python-headless.
Copy all image directories with appropriate names. For example:

.
|-- 04
|-- 05
|-- 06

	FROM python:3.12-slim
	WORKDIR /app
	COPY requirements.txt ./
	RUN pip install --no-cache-dir -r requirements.txt
	COPY app.py .
	EXPOSE 5000
	CMD ["gunicorn", "-b", "0.0.0.0:5000", "app:app"]

	#!/usr/bin/env bash

	active_services_cnt=0
	total_services_cnt=0
	check_service_is_active() {
	service_name=$1
	systemctl is-active $service_name
	}

	#!/usr/bin/env bash

	read -p "Enter your GitHub username: " USERNAME
	echo "1. Followers who you don’t follow back"
	echo "2. People you follow who don’t follow you back"
	read -p "Enter your choice number (default 1): " CHOICE
	CHOICE=${CHOICE:-1}

	fetch_users() {
	local USER_TYPE="$1"

	import os
	import requests
	from bs4 import BeautifulSoup
	from PIL import Image
	from io import BytesIO
	import time
	import sys

	MAX_ATTEMPTS = 5
	EACH_PAGE_IMAGE_CNT=20

	import pandas as pd

	numberOfDuplications = 20
	fileName = "file.csv"

	df = pd.read_csv(fileName)
	df = df.groupby("major_item").head(numberOfDuplications)

	outputFileName = "cleaned_file.csv"
	df.to_csv(outputFileName, index=False)