Update app.py

app.py

@@ -3,7 +3,7 @@ import streamlit as st
 from PyPDF2 import PdfReader
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 import os
-from langchain_community.embeddings import HuggingFaceEmbeddings
+from langchain_google_genai import GoogleGenerativeAIEmbeddings
 import google.generativeai as genai
 from langchain.vectorstores import FAISS
 from langchain_google_genai import ChatGoogleGenerativeAI
@@ -40,7 +40,7 @@ def get_text_chunks(text):
 
 #create embeddings and store in vector database
 def get_vector_store(text_chunks):
-    embeddings = HuggingFaceEmbeddings(model_name="hkunlp/instructor-large")
+    embeddings = GoogleGenerativeAIEmbeddings(model = "models/embedding-001")
     vector_store = FAISS.from_texts(text_chunks, embedding=embeddings)
     vector_store.save_local("faiss_index")
 
@@ -67,7 +67,7 @@ def get_conversational_chain():
 
 #take user input
 def user_input(user_question):
-    embeddings = HuggingFaceEmbeddings(model_name="hkunlp/instructor-large")
+    embeddings = GoogleGenerativeAIEmbeddings(model = "models/embedding-001")
     
     new_db = FAISS.load_local("faiss_index", embeddings)
     docs = new_db.similarity_search(user_question)