Update app.py

app.py

@@ -1,14 +1,9 @@
 # version for gradio
 import gradio as gr
-from llama_index.llms.llama_cpp import LlamaCPP
 from llama_index.vector_stores.mongodb import MongoDBAtlasVectorSearch
 import pymongo
 from pymongo.mongo_client import MongoClient
-from pymongo.operations import SearchIndexModel
-from llama_index.core import VectorStoreIndex, StorageContext
-
 from llama_index.core.vector_stores.types import VectorStoreQuery
-
 from langchain_nomic.embeddings import NomicEmbeddings
 import os
 ###### load LLM
@@ -22,7 +17,6 @@ llm_json_mode = ChatOllama(model=local_llm, temperature=0, format="json")
 
 # load embedding model
 # sentence transformers
-from langchain.text_splitter import RecursiveCharacterTextSplitter
 embed_model = NomicEmbeddings(model="nomic-embed-text-v1.5", inference_mode="local")
 
 # Load vector database
@@ -43,7 +37,7 @@ vector_store = MongoDBAtlasVectorSearch(mongo_client, db_name=DB_NAME, collectio
 # COMPONENT
 ### Router
 import json
-from langchain_core.messages import HumanMessage, SystemMessage
+from langchain_core.messages import HumanMessage
 
 # Prompt
 ### Generate