Update app.py

app.py

@@ -15,27 +15,23 @@ from langchain.chains import create_history_aware_retriever, create_retrieval_ch
 from langchain.vectorstores import Chroma
 from utills import load_txt_documents , split_docs,  load_uploaded_documents,retriever_from_chroma
 
-# Initialize variables and paths
+
 script_dir = os.path.dirname(os.path.abspath(__file__))
 data_path =  "data"
 model_path = os.path.join(script_dir, 'qwen2-0_5b-instruct-q4_0.gguf')
 store = {}
 
-# Set up HuggingFace embeddings
+
 model_name = "sentence-transformers/all-mpnet-base-v2"
 model_kwargs = {'device': 'cpu'}
 encode_kwargs = {'normalize_embeddings': True}
 
-# Use Streamlit's cache to avoid recomputation
-@st.cache_resource
-def load_embeddings():
-    return HuggingFaceEmbeddings(
-        model_name=model_name,
-        model_kwargs=model_kwargs,
-        encode_kwargs=encode_kwargs
-    )
 
-hf = load_embeddings()
+hf = HuggingFaceEmbeddings(
+    model_name=model_name,
+    model_kwargs=model_kwargs,
+    encode_kwargs=encode_kwargs
+)