import streamlit as st
import streamlit.components.v1 as components  # Import Streamlit
from logic import *

token = st.text_input("Open-AI-api-key")

KG_name = st.text_input("Give Kuzu-KG name")

  
if (token != '' and KG_name != ""):
    if(os.path.exists(KG_name)):
        index = load_index(token,KG_name)
    else:
        with st.form("links_form"):
            text = st.text_input("Input Links Seperated by ','")
              
            submitted = st.form_submit_button("Submit")
            if submitted:
                links = text.split(",")   
                index = get_index(links,token,KG_name)
        
            
    get_network_graph(index)
    emb = get_embeddings(index)
    fig = get_visualize_embeddings(emb)
        
    # Plotly Chart
    st.plotly_chart(fig, use_container_width=True)
        
    # Render the h1 block, contained in a frame of size 200x200.
    HtmlFile = open("kuzugraph_draw3.html", 'r', encoding='utf-8')
    # Read the HTML file
    with open("kuzugraph_draw3.html", 'r', encoding='utf-8') as HtmlFile:
        source_code = HtmlFile.read()
    # st.markdown(f'<div style="width: 800px; height: 600px">{source_code}</div>', unsafe_allow_html=True)
    components.html(source_code,width=800, height=600, scrolling=False)

    with st.form("my_form"):
        user_query = st.text_input("Ask the KG ','")
          
        submitted = st.form_submit_button("Submit")
        if submitted:
            res = query_model(index,user_query)
            st.write(res)