function to cleaning body of tweet

import nltk
import string
from nltk.tokenize import TweetTokenizer
tknz = TweetTokenizer()
from nltk.corpus import stopwords
stop = stopwords.words('english') + list(string.punctuation)

translator = str.maketrans('', '', string.punctuation.replace("#","").replace("@","").replace("'",""))
def cleanTweet(text):
    text = (re.sub(r"\w+:\/{2}[\d\w-]+(\.[\d\w-]+)*(?:(?:\/[^\s/]*))*", "", text)).lower() #removes urls
    text = re.sub(r'[^\x00-\x7F]+',' ', text) # removes unicodes (emogis)
    text = re.sub(r'(\r)|(\n)','',text) # removes newline characters
    text= text.translate(translator) # removes punctuations except ''', '#' and '@'
    tokens = tknz.tokenize(text)
    temp=[]
    for i in tokens:
        if not i in stop:
            temp.append(i)
    
    return ' '.join(temp)
    
# Use this as a lambda function when cleaning body in a pandas dataframe:
df["body"] = df["body"].apply(lambda x: cleanTweet(x))