Update app.py

app.py

@@ -17,7 +17,8 @@ from transformers import AutoModelForSeq2SeqLM, AutoTokenizer, pipeline
 import torch
 
 st.set_page_config(layout="wide")
-load_dotenv()
+
+
 
 def process_answer(instruction, qa_chain):
     response = ''
@@ -46,6 +47,8 @@ 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")