Update app.py

app.py

@@ -1,6 +1,6 @@
 from flask import Flask, render_template, jsonify, request
 from src.helper import download_hugging_face_embeddings
-from langchain_pinecone import PineconeVectorStore
+from langchain.vectorstores import Pinecone
 from langchain_openai import OpenAI
 from langchain.chains import create_retrieval_chain
 from langchain.chains.combine_documents import create_stuff_documents_chain
@@ -34,9 +34,9 @@ def initialize_chain():
         index_name = "medprep"
         
         # Embed each chunk and upsert the embeddings into your Pinecone index.
-        docsearch = PineconeVectorStore.from_existing_index(
-            index_name=index_name,
-            embedding=embeddings
+        docsearch = Pinecone.from_existing_index(
+        index_name=index_name,
+        embedding=embeddings
         )
         
         retriever = docsearch.as_retriever(search_type="similarity", search_kwargs={"k":3})