Update app.py

app.py

@@ -126,12 +126,14 @@ gpt4o_mini_model = initialize_gpt4o_mini_model()
 
 # Existing embeddings and vector store for GPT-4o
 gpt_embeddings = OpenAIEmbeddings(api_key=os.environ['OPENAI_API_KEY'])
-gpt_vectorstore = PineconeVectorStore(index_name="italyv109102024", embedding=embeddings)
+# gpt_vectorstore = PineconeVectorStore(index_name="italyv109102024", embedding=embeddings)
+gpt_vectorstore = PineconeVectorStore(index_name="italyv4", embedding=embeddings)
 gpt_retriever = gpt_vectorstore.as_retriever(search_kwargs={'k': 5})
 
 # New vector store setup for Phi-3.5
 phi_embeddings = embeddings
-phi_vectorstore = PineconeVectorStore(index_name="italyv109102024", embedding=embeddings)
+# phi_vectorstore = PineconeVectorStore(index_name="italyv109102024", embedding=embeddings)
+phi_vectorstore = PineconeVectorStore(index_name="italyv4", embedding=embeddings)
 phi_retriever = phi_vectorstore.as_retriever(search_kwargs={'k': 5})
 
 
@@ -142,7 +144,8 @@ phi_retriever = phi_vectorstore.as_retriever(search_kwargs={'k': 5})
 from pinecone import Pinecone
 pc = Pinecone(api_key=os.environ['PINECONE_API_KEY'])
 
-index_name = "italyv109102024"
+# index_name = "italyv109102024"
+index_name="italyv4"
 vectorstore = PineconeVectorStore(index_name=index_name, embedding=embeddings)
 retriever = vectorstore.as_retriever(search_kwargs={'k': 5})