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36 lines
989 B
Python
36 lines
989 B
Python
import os
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import tempfile
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import streamlit as st
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from sidebar import sidebar
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from files import file_uploader
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from question import chat_with_doc
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from langchain.embeddings.openai import OpenAIEmbeddings
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from langchain.vectorstores import SupabaseVectorStore
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from supabase import Client, create_client
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# supabase_url = "https://fqgpcifsfmamprzldyiv.supabase.co"
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supabase_url = st.secrets.supabase_url
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supabase_key = st.secrets.supabase_service_key
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openai_api_key = st.secrets.openai_api_key
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supabase: Client = create_client(supabase_url, supabase_key)
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embeddings = OpenAIEmbeddings(openai_api_key=openai_api_key)
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vector_store = SupabaseVectorStore(supabase, embeddings, table_name="documents")
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st.title("🧠 Second Brain 🧠")
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st.markdown("Store your knowledge in a vector store and query it with OpenAI's GPT-3/4.")
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st.markdown("---\n\n")
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sidebar(supabase)
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file_uploader(supabase,openai_api_key, vector_store)
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st.markdown("---\n\n")
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chat_with_doc(openai_api_key, vector_store)
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