Update app.py

app.py

@@ -23,7 +23,7 @@ folder = snapshot_download(repo_id="umaiku/faiss_index", repo_type="dataset", lo
 
 embeddings = HuggingFaceEmbeddings(model_name="intfloat/multilingual-e5-small")
 
-vector_db = FAISS.load_local("faiss_index_8k", embeddings, allow_dangerous_deserialization=True)
+vector_db = FAISS.load_local("faiss_index_full", embeddings, allow_dangerous_deserialization=True)
 
 df = pd.read_csv("faiss_index/bger_cedh_db 1954-2024.csv")
 
@@ -40,8 +40,8 @@ def respond(
 
     print(system_message)
     
-    retriever = vector_db.as_retriever(search_type="similarity_score_threshold", search_kwargs={"score_threshold": score})
-#    retriever = vector_db.as_retriever(search_type="mmr")
+#    retriever = vector_db.as_retriever(search_type="similarity_score_threshold", search_kwargs={"score_threshold": score})
+    retriever = vector_db.as_retriever(search_type="mmr")
     documents = retriever.invoke(message)
 
     spacer = " \n"