add load_dotenv()

app.py

@@ -19,6 +19,9 @@ from langchain_huggingface import HuggingFaceEmbeddings
 from langchain_community.vectorstores import FAISS
 from langchain_openai.embeddings import OpenAIEmbeddings
 from langchain_core.documents import Document
+from dotenv import load_dotenv
+
+load_dotenv()
 
 system_template = """\
 Use the following context to answer a users question. If you cannot find the answer in the context, say you don't know the answer."""
@@ -121,8 +124,10 @@ async def on_chat_start():
     # )
 
 
+
+    model = SentenceTransformer("acpotts/finetuned_arctic")
     
-    finetune_embeddings = HuggingFaceEmbeddings(model_name="finetuned_arctic")
+    finetune_embeddings = HuggingFaceEmbeddings(model)
 
     finetune_vectorstore = FAISS.from_documents(processed_documents, finetune_embeddings)
     finetune_retriever = finetune_vectorstore.as_retriever(search_kwargs={"k": 6})