Update app.py

app.py

@@ -1,21 +1,39 @@
 import os
+import pinecone
 import logging
 import time
-import nest_asyncio
-import streamlit as st
-import pinecone
 import faiss
+import nest_asyncio
 
-from langchain import ChatOpenAI, HuggingFaceEmbeddings
-from langchain.chains import RetrievalQAWithSourcesChain, ConversationChain, LLMChain
+import streamlit as st
+from langchain.llms import OpenAI
+from langchain.chat_models.openai import ChatOpenAI
+from langchain.llms import HuggingFacePipeline
+from langchain import HuggingFaceHub
+from langchain import PromptTemplate, LLMChain
 from langchain.chains.router import MultiPromptChain
+from langchain.llms import OpenAI
+from langchain.chains import ConversationChain
+from langchain.chains.llm import LLMChain
+from langchain.prompts import PromptTemplate
+from langchain.chains.router.llm_router import LLMRouterChain, RouterOutputParser
+from langchain.chains.router.multi_prompt_prompt import MULTI_PROMPT_ROUTER_TEMPLATE
 from langchain.chains.router.embedding_router import EmbeddingRouterChain
+from langchain.vectorstores import FAISS
+from langchain.embeddings import HuggingFaceEmbeddings
+from langchain.embeddings import HuggingFaceEmbeddings, SentenceTransformerEmbeddings
+from templates import hebrew_template, greek_template, apologetics_template, theology_template, therapy_template, history_template, commentary_template
+from langchain.callbacks.base import BaseCallbackHandler
+from langchain.chains import RetrievalQAWithSourcesChain
 from langchain.retrievers.web_research import WebResearchRetriever
-from langchain.retrievers.multi_query import MultiQueryRetriever
-from langchain.vectorstores import FAISS, Pinecone
+from langchain.vectorstores import FAISS
+from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain.docstore import InMemoryDocstore
 from langchain.utilities import GoogleSearchAPIWrapper
-from templates import (hebrew_template, greek_template, apologetics_template,
-                       theology_template, therapy_template, history_template, commentary_template)
+from langchain.retrievers.multi_query import MultiQueryRetriever
+from langchain.chains.question_answering import load_qa_chain
+from langchain.vectorstores import Pinecone
+
 
 st.title("BereaAI Bible Assistant")