Update app.py

app.py

@@ -1,5 +1,5 @@
 import gradio as gr
-from faiss import IndexFlatIP
+from faiss import IndexFlatIP, IndexFlatL2
 import pandas as pd
 import numpy as np
 from transformers import AutoTokenizer
@@ -7,7 +7,7 @@ from transformers import AutoTokenizer
 
 tokenizer = AutoTokenizer.from_pretrained("bert-large-uncased")
 input_embeddings = np.load("bert_input_embeddings.npy")
-index = IndexFlatIP(input_embeddings.shape[-1])  
+index = IndexFlatL2(input_embeddings.shape[-1])  
 index.add(input_embeddings)
 vocab = {v:k for k,v in tokenizer.vocab.items()}
 lookup_table = pd.Series(vocab).sort_index()