Update app.py

app.py

@@ -22,9 +22,9 @@ client = InferenceClient(model)
 
 folder = snapshot_download(repo_id="umaiku/faiss_index", repo_type="dataset", local_dir=os.getcwd())
 
-embeddings = HuggingFaceEmbeddings(model_name="intfloat/multilingual-e5-large-instruct")
+embeddings = HuggingFaceEmbeddings(model_name="intfloat/multilingual-e5-small")
 
-vector_db = FAISS.load_local("faiss_index_large", embeddings, allow_dangerous_deserialization=True)
+vector_db = FAISS.load_local("faiss_index_e5", embeddings, allow_dangerous_deserialization=True)
 
 df = pd.read_csv("faiss_index/bger_cedh_db 1954-2024.csv")