caching create pipeline

hanlde_form_submit.py

@@ -1,4 +1,5 @@
 import os
+from functools import lru_cache
 from time import time
 
 import streamlit as st
@@ -18,6 +19,7 @@ def is_downloaded(model_name: str) -> bool:
     return os.path.isdir(model_dir)
 
 
+@lru_cache()
 def create_pipeline(model_name: str, group_size: int) -> GroupedSamplingPipeLine:
     """
     Creates a pipeline with the given model name and group size.