Update app.py

app.py

@@ -2,8 +2,8 @@ import gradio as gr
 from transformers import AutoTokenizer, AutoModel
 import torch
 
-tokenizer = AutoTokenizer.from_pretrained('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2')
-model = AutoModel.from_pretrained('sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2')
+tokenizer = AutoTokenizer.from_pretrained('intfloat/multilingual-e5-large')
+model = AutoModel.from_pretrained('intfloat/multilingual-e5-large')
 
 def mean_pooling(model_output, attention_mask):
     token_embeddings = model_output[0]