import errors

appStore/embed.py

@@ -4,7 +4,6 @@ from torch import cuda
 import streamlit as st
 from langchain_huggingface import HuggingFaceEmbeddings
 from appStore.prep_utils import get_client
-from qdrant_client.http import models
 
 # get the device to be used eithe gpu or cpu
 device = 'cuda' if cuda.is_available() else 'cpu'

appStore/search.py

@@ -1,11 +1,11 @@
 from appStore.prep_utils import get_client
 from langchain_qdrant import FastEmbedSparse, RetrievalMode
 from torch import cuda
+from qdrant_client.http import models
+from langchain_huggingface import HuggingFaceEmbeddings
 # get the device to be used eithe gpu or cpu
 device = 'cuda' if cuda.is_available() else 'cpu'
 
-import streamlit as st
-from langchain_huggingface import HuggingFaceEmbeddings
 
 def hybrid_search(client, query, collection_name):
     embeddings = HuggingFaceEmbeddings(