Update app.py

app.py

@@ -1,6 +1,7 @@
 import streamlit as st
 from dotenv import load_dotenv
 import os
+from langchain.embeddings import HuggingFaceEmbeddings
 from htmlTemplate import css, bot_template, user_template
 import PyPDF2
 from langchain.text_splitter import RecursiveCharacterTextSplitter
@@ -71,7 +72,9 @@ def get_text_chunks(content, metadata):
 def ingest_into_vectordb(split_docs):
     # embeddings = OpenAIEmbeddings()
     # embeddings = FastEmbedEmbeddings()
-    embeddings = SpacyEmbeddings(model_name="en_core_web_sm")
+    # embeddings = SpacyEmbeddings(model_name="en_core_web_sm")
+    embeddings=HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2",
+                                     model_kwargs={'device':'cpu'})
     db = FAISS.from_documents(split_docs, embeddings)
     DB_FAISS_PATH = 'vectorstore/db_faiss'
     db.save_local(DB_FAISS_PATH)