minor fix1

app.py

@@ -166,8 +166,8 @@ def get_confidence_color(confidence):
 def generate_gte_embedding(text, model_name='Alibaba-NLP/gte-multilingual-base'):
     """Generate GTE embeddings for a single text."""
     start_time = time.time()
-    tokenizer = AutoTokenizer.from_pretrained(model_name)
-    model = AutoModel.from_pretrained(model_name)
+    tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
+    model = AutoModel.from_pretrained(model_name, trust_remote_code=True)
     
     # Tokenize and generate embedding
     inputs = tokenizer(text, padding=True, truncation=True, return_tensors="pt")