import streamlit as st
from nltk import word_tokenize
from nltk.util import ngrams
import nltk
nltk.download('punkt')
def ngrams_maker(text, n):
    tokens = word_tokenize(text)
    n_grams = ngrams(tokens, n)
    return [' '.join(gram) for gram in n_grams]

def main():
    st.title('n_grams maker')
    user_input = st.text_area('Enter text:')
    n = st.slider('Select n for n-grams:', 2, 5) 

    if st.button('create'):
        if user_input:
            st.write(f"*Input Text:* {user_input}")
            st.write(f"*{n}-grams Generated:*")
            result = ngrams_maker(user_input, n)
            st.write(result)
        else:
            st.warning('Please enter some text.')

if __name__ == '__main__':
    main()