Update app.py

app.py

@@ -25,6 +25,8 @@ from nltk import sent_tokenize
 
 warnings.filterwarnings("ignore")
 
+auth_token = os.environ.get("auth_token")
+
 def extract_text_from_url(url: str):
     
     '''Extract text from url'''
@@ -128,7 +130,7 @@ def bi_encode(bi_enc,passages):
     
     global bi_encoder
     #We use the Bi-Encoder to encode all passages, so that we can use it with sematic search
-    bi_encoder = SentenceTransformer(bi_enc)
+    bi_encoder = SentenceTransformer(bi_enc,use_auth_token=auth_token)
     
     #quantize the model
     #bi_encoder = quantize_dynamic(model, {Linear, Embedding})