Update rag_engine.py

rag_engine.py

@@ -11,6 +11,11 @@ from langchain.docstore.document import Document
 import pinecone
 import chainlit as cl
 from chainlit.types import AskFileResponse
+from dotenv import load_dotenv
+load_dotenv()
+
+openai_api_key = os.getenv("OPENAI_API_KEY")
+
 
 pinecone.init(
     api_key="2b6aa6bf-2e20-4445-a560-f7dd4952e59e",
@@ -19,7 +24,7 @@ pinecone.init(
 
 index_name = "skandhaar"
 text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)
-embeddings = OpenAIEmbeddings()
+embeddings = OpenAIEmbeddings(openai_api_key=openai_api_key)
 
 namespaces = set()
 
@@ -109,7 +114,7 @@ async def start():
         )
 
         chain = RetrievalQA.from_chain_type(
-            ChatOpenAI(model_name="gpt-3.5-turbo", temperature=0, streaming=True, openai_api_key="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"),
+            ChatOpenAI(model_name="gpt-3.5-turbo", temperature=0, streaming=True, openai_api_key=openai_api_key),
             chain_type="stuff",
             retriever=docsearch.as_retriever(),
             return_source_documents=True,