Update app.py

app.py

@@ -1,7 +1,6 @@
 import streamlit as st
 from dotenv import load_dotenv
 from langchain_community.document_loaders.url import UnstructuredURLLoader
-from langchain_community.embeddings import HuggingFaceHubEmbeddings
 from langchain_huggingface.embeddings import HuggingFaceEndpointEmbeddings
 from langchain_community.vectorstores.faiss import FAISS
 from langchain.text_splitter import RecursiveCharacterTextSplitter
@@ -69,7 +68,7 @@ if process_url_clicked:
 query = main_placeholder.text_input("Question: ")
 if query:
     if os.path.exists(faiss_index_path):
-        embeddings = HuggingFaceHubEmbeddings(huggingfacehub_api_token=os.getenv("HUGGINGFACEHUB_API_TOKEN"))
+        embeddings = HuggingFaceEndpointEmbeddings(huggingfacehub_api_token=os.getenv("HUGGINGFACEHUB_API_TOKEN"))
         vectorstore = load_faiss_index(faiss_index_path, embeddings)
         chain = RetrievalQAWithSourcesChain.from_llm(llm=llm, retriever=vectorstore.as_retriever())
         result = chain({"question": query}, return_only_outputs=True)