Update processing.py

processing.py

@@ -1,10 +1,10 @@
 from langchain.schema import HumanMessage
 from output_parser import attachment_parser, bigfive_parser, personality_parser
-from langchain.embeddings import OpenAIEmbeddings
-from langchain.vectorstores import FAISS
-from langchain.retrievers import RetrievalQA
+from langchain_community.embeddings import OpenAIEmbeddings
+from langchain_community.vectorstores import FAISS
 from llm_loader import load_model  # Import the function to load the model
 from config import openai_api_key  # Import the API key from config.py
+from langchain_community.chains import RetrievalQAChain  # Assuming this is the updated class
 import os
 
 # Initialize embeddings and FAISS index
@@ -37,7 +37,7 @@ faiss_index.save_local("faiss_index")
 llm = load_model(openai_api_key)  # Load the model using your custom loader
 
 # Initialize the retrieval chain
-qa_chain = RetrievalQA(llm=llm, retriever=faiss_index.as_retriever())
+qa_chain = RetrievalQAChain(llm=llm, retriever=faiss_index.as_retriever())  # Replace with the correct chain class
 
 def load_text(file_path: str) -> str:
     with open(file_path, 'r', encoding='utf-8') as file: