Update app.py

app.py

@@ -52,10 +52,9 @@ encode_kwargs = {'normalize_embeddings': True}
 
 from llama_index.core import Settings
 
-Settings.embed_model = InstructorEmbedding(
-    model_name=model_name
-)
-
+embed_model = InstructorEmbedding(model_name=model_name)
+Settings.embed_model = embed_model
+Settings.chunk_size = 512
 llm= LLM = G4FLLM(
         model=models.gpt_35_turbo_16k,
     )
@@ -63,13 +62,13 @@ llm= LLM = G4FLLM(
 Settings.llm = LangChainLLM(llm=llm)
 #embed_model=embed_model)
 
-Settings.service_context = ServiceContext.from_defaults(chunk_size=5512, llm=llm, embed_model=embed_model )
+#Settings.service_context = ServiceContext.from_defaults(chunk_size=5512, llm=llm, embed_model=embed_model )
 
 
 # rebuild storage context
 storage_context = StorageContext.from_defaults(persist_dir="./storage")
 # load index
-index = load_index_from_storage(storage_context, service_context =service_context) 
+index = load_index_from_storage(storage_context) #service_context =service_context) 
 
 """
 query_engine = index.as_query_engine()