import os
import streamlit as st
import requests
from typing import List
import json
import socket
from urllib3.connection import HTTPConnection
from app import embed_documents, retrieve_documents

# API_BASE_URL = os.environ.get("API_BASE_URL")


embeddings_model_name = "all-MiniLM-L6-v2"
persist_directory = "db"
model = "tiiuae/falcon-7b-instruct"

from constants import CHROMA_SETTINGS
import chromadb

def list_of_collections():
    client = chromadb.Client(CHROMA_SETTINGS)
    return (client.list_collections())

def get_collection_names():

    collections = list_of_collections()
    return [collection.name for collection in collections]

if __name__ == '__main__':
    st.title("PrivateGPT App: Document Embedding and Retrieval")
    
    # Document upload section
    st.header("Document Upload")
    files = st.file_uploader("Upload document", accept_multiple_files=True)
    # collection_name = st.text_input("Collection Name") not working for some reason
    if st.button("Embed"):
        embed_documents(files, "collection_name")
    
    # Query section
    st.header("Document Retrieval")
    collection_names = get_collection_names()
    selected_collection = st.selectbox("Select a document", collection_names)
    if selected_collection:
        query = st.text_input("Query")
        if st.button("Retrieve"):
            retrieve_documents(query, selected_collection)