diff --git a/notebook/agentchat_huggingface_langchain.ipynb b/notebook/agentchat_huggingface_langchain.ipynb
index 000bcbdbcfd..248ad18f19c 100644
--- a/notebook/agentchat_huggingface_langchain.ipynb
+++ b/notebook/agentchat_huggingface_langchain.ipynb
@@ -9,7 +9,7 @@
     }
    },
    "source": [
-    "# Using AutoGen AgentChat with LangChain and Hugging Face\""
+    "# Using AutoGen AgentChat with LangChain-based Custom Client and Hugging Face Models"
    ]
   },
   {
@@ -162,6 +162,7 @@
    "source": [
     "# custom client with custom model loader\n",
     "\n",
+    "\n",
     "class CustomModelClient:\n",
     "    \"\"\"Custom model client implementation for LangChain integration with AutoGen.\"\"\"\n",
     "\n",
@@ -169,11 +170,14 @@
     "        \"\"\"Initialize the CustomModelClient.\"\"\"\n",
     "        print(f\"CustomModelClient config: {config}\")\n",
     "        self.device = config.get(\"device\", \"cpu\")\n",
-    "        \n",
+    "\n",
     "        gen_config_params = config.get(\"params\", {})\n",
     "        self.model_name = config[\"model\"]\n",
     "        pipeline = HuggingFacePipeline.from_model_id(\n",
-    "            model_id=self.model_name, task=\"text-generation\", pipeline_kwargs=gen_config_params,device=self.device,\n",
+    "            model_id=self.model_name,\n",
+    "            task=\"text-generation\",\n",
+    "            pipeline_kwargs=gen_config_params,\n",
+    "            device=self.device,\n",
     "        )\n",
     "        self.model = ChatHuggingFace(llm=pipeline)\n",
     "        print(f\"Loaded model {config['model']} to {self.device}\")\n",
@@ -318,10 +322,11 @@
    "outputs": [],
    "source": [
     "import getpass\n",
+    "\n",
     "from huggingface_hub import login\n",
     "\n",
     "# The Mistral-7B-Instruct-v0.2 is a gated model which requires API token to access\n",
-    "login(token = getpass.getpass(\"Enter your HuggingFace API Token\"))"
+    "login(token=getpass.getpass(\"Enter your HuggingFace API Token\"))"
    ]
   },
   {