add hf_token

app.py

@@ -8,9 +8,11 @@ from huggingface_hub import whoami, InferenceClient
 import black  # Add black import
 
 # Initialize the inference client
-client = InferenceClient(
-    api_key=os.getenv("HF_API_KEY"),  # Make sure to set this environment variable
+HF_TOKEN = os.getenv("HF_TOKEN")
+HF_API_URL = os.getenv(
+    "HF_API_URL", "https://sm6g3bin692qbz80.us-east-1.aws.endpoints.huggingface.cloud"
 )
+client = InferenceClient(api_key=HF_TOKEN)
 
 # Load questions from Hugging Face dataset
 EXAM_MAX_QUESTIONS = int(
@@ -19,11 +21,6 @@ EXAM_MAX_QUESTIONS = int(
 EXAM_PASSING_SCORE = float(os.getenv("EXAM_PASSING_SCORE", 0.8))
 EXAM_DATASET_ID = "agents-course/smolagents-quiz-data"
 
-# inference client config
-HF_TOKEN = os.getenv("HF_TOKEN")
-HF_API_URL = os.getenv(
-    "HF_API_URL", "https://sm6g3bin692qbz80.us-east-1.aws.endpoints.huggingface.cloud"
-)
 
 # prep the dataset for the quiz
 ds = load_dataset(EXAM_DATASET_ID, split="train", download_mode="force_redownload")
@@ -91,7 +88,6 @@ def check_code(
             model=HF_API_URL,
             messages=messages,
             max_tokens=500,
-            token=HF_TOKEN,
         )
 
         response = completion.choices[0].message.content.strip()