Update app.py

app.py

@@ -14,9 +14,10 @@ def load():
   text_encoder = RobertaModel.from_pretrained('SajjadAyoubi/clip-fa-text').eval()
   image_embeddings = torch.load('embedding.pt').numpy()
   links = np.load('data.npy', allow_pickle=True)
-  return model, processor, df, embeddings
+  return tokenizer, text_encoder, links, image_embeddings
   
-model, processor, df, embeddings = load()
+tokenizer, text_encoder, links, image_embeddings = load()
+
 
 
 def get_html(url_list):