import streamlit as st
import openai
import tiktoken
from openai.embeddings_utils import get_embedding, cosine_similarity
import torch
from sentence_transformers import SentenceTransformer, util

# Set Streamlit page configuration
st.set_page_config(page_title="App", layout="wide")

st.title("HAL UNIV-COTEDAZUR Collection Semantic Search")

model_options = st.sidebar.selectbox("Choose the free embeddings model to use ?", ('all-MiniLM-L6-v2', 'multi-qa-mpnet-base-dot-v1'))

if ok_openai := st.sidebar.checkbox('You want to use the OpenAI Embeddings too'):
    if openai_api_key := st.text_input(
        ":blue[Put Your OPENAI API-KEY :]",
        placeholder="Paste your OpenAI API key here ",
        type="password",
    ):
        st.success("great")

col1, col2 = st.columns(2)
if query := st.text_input(
        ":orange[Enter your question :]"):
     with col1:
         st.write("OpenAI place")
     with col2:
         st.write("Open LLM place")