Update app.py

app.py

@@ -15,8 +15,7 @@ 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")
 
 
@@ -47,9 +46,9 @@ def data_ingestion():
     splits = text_splitter.split_documents(documents)
 
     # create embeddings of the chunked document
-    #embeddings = SentenceTransformerEmbeddings(model_name="all-MiniLM-L6-v2")
+    embeddings = SentenceTransformerEmbeddings(model_name="all-MiniLM-L6-v2")
     
-    embeddings = OpenAIEmbeddings()
+    #embeddings = OpenAIEmbeddings()
     vectordb = FAISS.from_documents(splits, embeddings)
     vectordb.save_local("faiss_index")