Update app.py

app.py

@@ -126,14 +126,12 @@ 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="italyv4", embedding=embeddings)
+gpt_vectorstore = PineconeVectorStore(index_name="italyv109102024", 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="italyv4", embedding=embeddings)
+phi_vectorstore = PineconeVectorStore(index_name="italyv109102024", embedding=embeddings)
 phi_retriever = phi_vectorstore.as_retriever(search_kwargs={'k': 5})
 
 
@@ -144,8 +142,8 @@ 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="italyv4"
+index_name = "italyv109102024"
+
 vectorstore = PineconeVectorStore(index_name=index_name, embedding=embeddings)
 retriever = vectorstore.as_retriever(search_kwargs={'k': 5})