# import streamlit as st
# from keybert import KeyBERT

# # KeyBERT model
# keybert_model = KeyBERT(model='all-MiniLM-L6-v2')

# def get_bert_keywords(text, num_keywords):
#     result = keybert_model.extract_keywords(text, keyphrase_ngram_range=(1, 1), top_n=num_keywords)
#     keyberts = [keyword for keyword, score in result]
#     return keyberts

# # Streamlit app
# st.title("Keyword Extraction with KeyBERT")
# text = st.text_area("Enter your text here:", value='', height=200)
num_keywords = st.slider("Number of keywords:", min_value=1, max_value=10, value=5, step=1)

# if st.button("Extract Keywords"):
#     if text:
#         keywords = get_bert_keywords(text, num_keywords)
#         st.write("Keywords:")
#         st.write(", ".join(keywords))
#     else:
#         st.error("Please enter some text.")

import streamlit as st

st.write(x, 'num_keywords', num_keywords)