Update app.py

app.py

@@ -18,7 +18,7 @@ from llama_index.core.indices.multi_modal.base import MultiModalVectorStoreIndex
 from llama_index.multi_modal_llms.openai import OpenAIMultiModal
 
 embeddings = OpenAIEmbeddings(model="text-embedding-3-small")
-chat_llm = ChatOpenAI(temperature = 0.5, model = 'gpt-4-turbo')
+chat_llm = ChatOpenAI(temperature = 0.5, model = 'gpt-4o')
 
 contextualize_q_system_prompt = """Given a chat history and the latest user question \
 which might reference context in the chat history, formulate a standalone question \
@@ -52,7 +52,7 @@ pg_connection = f"postgresql+psycopg://postgres:{pg_password}@{aws_ec2_ip}:5432/
 qd_client = qdrant_client.QdrantClient(path="qdrant_db")
 image_store = QdrantVectorStore(client=qd_client, collection_name="image_collection")
 storage_context = StorageContext.from_defaults(image_store=image_store)
-openai_mm_llm = OpenAIMultiModal(model="gpt-4o", max_new_tokens=1500)
+openai_mm_llm = OpenAIMultiModal(model="gpt-4-vision-preview", max_new_tokens=1500)
 
 def response(message, history, doc_label):