import pickle
import faiss
import streamlit as st
from sentence_transformers import SentenceTransformer

def show_search(model, faiss_index, sentences):
    query = st.text_input("Enter your search query:")

    if query:
        # Convert query to embedding
        query_embedding = model.encode([query])[0].reshape(1, -1)
        
        # Perform search
        D, I = faiss_index.search(query_embedding, k=5)  # Search for top 5 similar items
        
        # Display results
        st.write("Top results:")
        for i in I[0]:
            st.write(sentences[i])