import streamlit as st

st.markdown("# Buscador de Noticias Salvadoreñas")

search_text = st.text_input(label="Búsqueda")

# ds = load_dataset("justinian336/salvadoran-news-embedded")


# def search(text, model, ds, n):
#   encoded_text = model.encode(text)
#   scores, retrieved_examples = ds.get_nearest_examples('embedding', encoded_text, k=n)
#   matching_titles = retrieved_examples["title"]
#   urls = retrieved_examples["link"]
#   contents = retrieved_examples["content"]
#   return list(zip(matching_titles, [c[:150] for c in contents], urls, scores))

# search_results = search(search_text, model, embedded_ds, 10)