How to make a custom search filter with multi-select?

I’m trying to make a custom search filter with SQLite, pandas, and multi-select widget. in my scenario when the user searches for an item in the search box that item’s text-input has to stored in a multi-select widget. while we go on searching and that search input data is going on appending to a list that connects with multi-select. I had done it but in the end, I got the error

TypeError: unhashable type: ‘list’

. can anyone tell me what was the error in my code?

import streamlit as st
import pandas as pd
import time
import sqlite3

conn = sqlite3.connect(‘search.db’)
c = conn.cursor()

def create_table():
c.execute(‘CREATE TABLE IF NOT EXISTS serach_filter(main_search varchar(20) )’)

def add_data(main_search):
c.execute(‘INSERT INTO serach_filter(main_search) VALUES (?)’, [main_search])

def data_list():
c.execute(‘SELECT * FROM serach_filter’)
data = c.fetchall()
final_data = [list(i) for i in data]
list_df = pd.DataFrame(final_data, columns=[‘search’])
print(“new DataFrame”)
return list_df[‘search’]

df = pd.read_csv(“clusterised pricerunner_aggregate.csv”)

def delete_task():
c.execute(‘DELETE FROM serach_filter’)
data = c.fetchall()

def main():
new_user = st.text_input(“main_search”)
if st.button(“search”):

user_result = data_list()
multiselct_filter = st.multiselect("custom filter", user_result)
if st.button("apply"):
    data_columns = df['Product_Title', 'Cluster_Label', 'Category_Label']
    main_result = df[(data_columns.isin(user_result))]


elif st.button("erase"):

if name == ‘main’: