creating index locally then uploading

app.py

@@ -16,15 +16,7 @@ llm = Anyscale(model="mistralai/Mistral-7B-Instruct-v0.1", api_key=os.getenv("AN
 # query_embed_model = HuggingFaceEmbedding(model_name="BAAI/bge-base-en-v1.5")
 embed_model = VoyageEmbedding(model_name="voyage-01", voyage_api_key=os.getenv("VOYAGE_API_KEY"))
 service_context = ServiceContext.from_defaults(llm=llm, embed_model=embed_model)
-
-if "index" in os.listdir():
-    storage_context = StorageContext.from_defaults(persist_dir=Path("./index"))
-else: 
-    dir_reader = SimpleDirectoryReader(Path('./docs'))
-    documents = dir_reader.load_data()
-    index = VectorStoreIndex.from_documents(documents, service_context=service_context)
-    index.storage_context.persist(Path('./index'))
-    storage_context = StorageContext.from_defaults(persist_dir=Path("./index"))
+storage_context = StorageContext.from_defaults(persist_dir=Path("./custom_index"))
 
 # Load the vector stores that were created earlier.
 index = load_index_from_storage(storage_context=storage_context, service_context=service_context)