improve: simplify tocken use

modules/ai_model.py

@@ -33,36 +33,15 @@ class AIModel:
         log.info(f"设置缓存目录: {cache_dir}")
 
     def _authenticate_hf(self):
-        """HuggingFace认证"""
-        try:
-            # 检查所有可能的环境变量
-            assitant_token = os.getenv("Assitant_tocken")
-            hf_token = os.getenv("HUGGINGFACE_HUB_TOKEN") 
-            hf_token_alt = os.getenv("HF_TOKEN")
-            
-            log.info("=== 环境变量调试 ===")
-            log.info(f"Assitant_tocken: {'存在' if assitant_token else '不存在'}")
-            log.info(f"HUGGINGFACE_HUB_TOKEN: {'存在' if hf_token else '不存在'}")
-            log.info(f"HF_TOKEN: {'存在' if hf_token_alt else '不存在'}")
-            
-            # 使用找到的token
-            token_to_use = assitant_token or hf_token or hf_token_alt
-            
-            if token_to_use:
-                log.info(f"使用token: {token_to_use[:10]}...")
-                
-                # 设置缓存目录用于认证
-                cache_dir = "/app/.cache/huggingface"
-                login(token=token_to_use, add_to_git_credential=False)
-                log.info("✅ HuggingFace 认证成功")
-                return token_to_use
-            else:
-                log.error("❌ 未找到任何有效的 HuggingFace token")
-                return None
-                
-        except Exception as e:
-            log.error(f"❌ HuggingFace 认证失败: {e}")
-            return None
+
+        assitant_token = os.getenv("Assitant_tocken")
+        token_to_use = assitant_token
+
+        cache_dir = "/app/.cache/huggingface"
+        login(token=token_to_use, add_to_git_credential=False)
+        log.info("✅ HuggingFace 认证成功")
+
+
 
     def _initialize_model(self):
         """初始化Gemma模型"""