Right now I have a client string consists an emoji "📲", which means Mobile Phone With Arrow. I want to remove it in my text pre-process step so that I can pass it to my NLP model. I tried to use:

    def remove_emojis(text: str) -> str:
    emojis = re.compile("["
                        u"\U0001F600-\U0001F64F"  # emoticons
                        u"\U0001F300-\U0001F5FF"  # symbols & pictographs
                        u"\U0001F680-\U0001F6FF"  # transport & map symbols
                        u"\U0001F1E0-\U0001F1FF"  # flags (iOS)
                        u"\U00002500-\U00002BEF"  # chinese char
                        u"\U00002702-\U000027B0"
                        u"\U00002702-\U000027B0"
                        u"\U000024C2-\U0001F251"
                        u"\U0001f926-\U0001f937"
                        u"\U00010000-\U0010ffff"
                        u"\u2640-\u2642"
                        u"\u2600-\u2B55"
                        u"\u200d"
                        u"\u23cf"
                        u"\u23e9"
                        u"\u231a"
                        u"\ufe0f"  # dingbats
                        u"\u3030"  # flags (iOS)
                        "]+", flags=re.UNICODE)
    return emojis.sub(r'', text)

But it is not working. I think it does not cover this emoji. Is there any way I can remove emojis like this one?

PS: Keeping only English characters does not work for my case cause the client string is not in English.