Update agent.py

agent.py

@@ -413,15 +413,11 @@ docs = [
 # Now extract texts
 texts = [doc.page_content for doc in docs]
 
-# Generate embeddings
-embeddings = [embedding_model.encode(text) for text in texts]
-
-
 # Initialize the embedding model
-#embedding_model = BERTEmbeddings()
+embedding_model = BERTEmbeddings()
 
 # Generate embeddings for each document
-#embeddings = [embedding_model.encode(text) for text in texts]
+embeddings = [embedding_model.encode(text) for text in texts]
 
 # Create the FAISS index
 vector_store = FAISS.from_documents(docs, embedding_model)