Update app.py

app.py

@@ -15,7 +15,8 @@ from langchain.vectorstores import FAISS
 from streamlit_chat import message
 from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, pipeline
 import torch
-
+load_dotenv()
+openai.api_key = os.getenv("OPENAI_API_KEY")
 st.set_page_config(layout="wide")
 
 
@@ -47,8 +48,7 @@ def data_ingestion():
 
     # create embeddings of the chunked document
     #embeddings = SentenceTransformerEmbeddings(model_name="all-MiniLM-L6-v2")
-    load_dotenv()
-    openai.api_key = os.getenv("OPENAI_API_KEY")
+    
     embeddings = OpenAIEmbeddings()
     vectordb = FAISS.from_documents(splits, embeddings)
     vectordb.save_local("faiss_index")