| 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() | |