在space中添加了环境变量token用于访问模型，还是报错

app.py

@@ -2,10 +2,6 @@ import streamlit as st
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch
 import os
-# from huggingface_hub import login
-#
-# login()
-# 加载模型和tokenizer
 from transformers import AutoTokenizer, AutoModel
 
 # Assuming you have set the HF_TOKEN environment variable with your Hugging Face token
@@ -14,11 +10,13 @@ huggingface_token = os.getenv('HF_TOKEN')
 # Set up the token to use with the Hugging Face API
 if huggingface_token is not None:
     os.environ['HUGGINGFACE_CO_API_TOKEN'] = huggingface_token
+    tokenizer = AutoTokenizer.from_pretrained("Tokymin/Mood_Anxiety_Disorder_Classify_Model")
+    model = AutoModelForSequenceClassification.from_pretrained("Tokymin/Mood_Anxiety_Disorder_Classify_Model",
+                                                               num_labels=8)
 else:
     print("error, no token")
     exit(0)
-tokenizer = AutoTokenizer.from_pretrained("Tokymin/Mood_Anxiety_Disorder_Classify_Model")
-model = AutoModelForSequenceClassification.from_pretrained("Tokymin/Mood_Anxiety_Disorder_Classify_Model", num_labels=8)
+
 model.eval()
 
 def predict(text):