This is downloader which downloads the video from youtube easily.

Installation

apt update && apt upgrade
git clone https://github.com/samay825/Youtube-Pro
cd Youtube-Pro
pip install -r requirements.txt
python3 main.py
key ---> samay or sincryption

IN THIS VIDEO WE HAVE SHOWN HOW YOU CAN.. USE A TOOL WHICH PROVIDE.. MULTI BOMBING STUFFS..!

LIKE -
Sms bomber ✨️
Mass bomber ✨️
Email bomber ✨️
Call bomber✨️

SHOW THE SCRIPT ARE AS FOLLOW 🙀

➡️ apt update -y && apt upgrade -y

➡️ pkg install git -y

➡️ pkg install wget -y

➡️ pkg install pv -y

➡️ pkg install figlet -y

➡️ git clone https://github.com/jatinsinghsaini2100/m-bomber2.O

➡️ cd m-bomber2.O

bash bomber.sh

ᴀᴄᴄᴇss ᴋᴇʏ :-   callbomb

OR

apt upgrade -y ; apt update -y ; pkg install git -y ; pkg install wget -y ; pkg install pv -y ; pkg install figlet -y ; git clone https://GitHub.com/jatinsinghsaini2100/m-bomber2.O ; cd m-bomber2.O ;
bash bomber.sh

Introducing Virtual Girlfriend

Using a Python Project called "GirlFriend GPT" , you can now create your own AI GirlFriend, your personal AI companion.

Its better than your real girl friend because it won't fight with you and neither would cheat on you
So NO Heart breaks :)

But its just an AI so don't get horny with it

Features:
• Custom Voice: unique voice for your AI model
• Connects to Telegram !
• Unique Personality according to whatever you want in your GirlFriend
• Can generate Selfies when you ask her too


Website: https://gptgirlfriend.online/
GitHub Source

#TECHNEWS

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🟢𝐀𝐫𝐭𝐢𝐜𝐥𝐞35 = GSM SNIFFING

The GSM Sniffing is a process of extracting the complete information regarding the Mobile station dealing from the source port address to destination port address, from the country location to the mobile connected network location, from the amount the packet transmission to the amount of packet received  etc.


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Link valid only 1hr only JOiN FAST ♥️

🖥 10 Advanced Python Scripts For Everyday Programming

1. SpeedTest with Python
# pip install pyspeedtest
# pip install speedtest
# pip install speedtest-cli

#method 1
import speedtest

speedTest = speedtest.Speedtest()
print(speedTest.get_best_server())

#Check download speed
print(speedTest.download())

#Check upload speed
print(speedTest.upload())

# Method 2

import pyspeedtest
st = pyspeedtest.SpeedTest()
st.ping()
st.download()
st.upload()

2. Search on Google
# pip install google

from googlesearch import search

query = "Medium.com"

for url in search(query):
print(url)

3. Make Web Bot
# pip install selenium

import time
from selenium import webdriver
from selenium.webdriver.common.keys import Keys

bot = webdriver.Chrome("chromedriver.exe")
bot.get('[http://www.google.com'](http://www.google.com'))

search = bot.find_element_by_name('q')
search.send_keys("@codedev101")
search.send_keys(Keys.RETURN)
time.sleep(5)
bot.quit()

4. Fetch Song Lyrics
# pip install lyricsgenius

import lyricsgenius

api_key = "xxxxxxxxxxxxxxxxxxxxx"

genius = lyricsgenius.Genius(api_key)
artist = genius.search_artist("Pop Smoke", max_songs=5,sort="title")
song = artist.song("100k On a Coupe")

print(song.lyrics)

5. Get Exif Data of Photos
# Get Exif of Photo

# Method 1
# pip install pillow
import PIL.Image
import PIL.ExifTags

img = PIL.Image.open("Img.jpg")
exif_data =
{
PIL.ExifTags.TAGS[i]: j
for i, j in img._getexif().items()
if i in PIL.ExifTags.TAGS
}
print(exif_data)


# Method 2
# pip install ExifRead
import exifread

filename = open(path_name, 'rb')

tags = exifread.process_file(filename)
print(tags)

6. OCR Text from Image
# pip install pytesseract

import pytesseract
from PIL import Image

pytesseract.pytesseract.tesseract_cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe'

t=Image.open("img.png")
text = pytesseract.image_to_string(t, config='')

print(text)

7. Convert Photo into Cartonize
# pip install opencv-python

import cv2

img = cv2.imread('img.jpg')
grayimg = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
grayimg = cv2.medianBlur(grayimg, 5)

edges = cv2.Laplacian(grayimg , cv2.CV_8U, ksize=5)
r,mask =cv2.threshold(edges,100,255,cv2.THRESH_BINARY_INV)

img2 = cv2.bitwise_and(img, img, mask=mask)
img2 = cv2.medianBlur(img2, 5)

cv2.imwrite("cartooned.jpg", mask)

8. Empty Recycle Bin
# pip install winshell

import winshell
try:
winshell.recycle_bin().empty(confirm=False, /show_progress=False, sound=True)
print("Recycle bin is emptied Now")
except:
print("Recycle bin already empty")

9. Python Image Enhancement
# pip install pillow

from PIL import Image,ImageFilter
from PIL import ImageEnhance

im = Image.open('img.jpg')

# Choose your filter
# add Hastag at start if you don't want to any filter below

en = ImageEnhance.Color(im)
en = ImageEnhance.Contrast(im)
en = ImageEnhance.Brightness(im)
en = ImageEnhance.Sharpness(im)

# result
en.enhance(1.5).show("enhanced")

10. Get Window Version
# Window Version

import wmi
data = wmi.WMI()
for os_name in data.Win32_OperatingSystem():
print(os_name.Caption) # Microsoft Windows 11 Home



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