Fix for api endpoint

app.py

@@ -10,6 +10,7 @@ import black  # Add black import
 # Initialize the inference client
 client = InferenceClient(
     api_key=os.getenv("HF_TOKEN"),  # Make sure to set this environment variable
+    base_url="https://router.huggingface.co", #updated base URL for the new inference API
 )
 
 # Load questions from Hugging Face dataset
@@ -72,8 +73,9 @@ def check_code(
     3. Does it follow the requirements of the challenge?
     4. Does it meet the assessment criteria?
 
-    Respond with ONLY "CORRECT" or "INCORRECT" followed by a brief explanation.
+    Respond with ONLY "CORRECT" or "INCORRECT" followed by a brief explanation. Do not mention the "Student" rather mention it as "the solution" in your explanation. 
     """
+    #updated prompt to avoid mentioning "Student" and instead refer to "the solution" in the explanation, to make it more neutral.
 
     messages = [{"role": "user", "content": prompt}]
 

pyproject.toml

@@ -8,6 +8,6 @@ dependencies = [
     "black>=25.1.0",
     "datasets>=3.2.0",
     "gradio[oauth]==5.15.0",
-    "huggingface-hub>=0.28.0",
+    "huggingface-hub>=0.31.0",
     "ipykernel>=6.29.5",
 ]

requirements.txt

@@ -34,7 +34,7 @@ gradio-client==1.7.0
 h11==0.14.0
 httpcore==1.0.7
 httpx==0.28.1
-huggingface-hub==0.28.1
+huggingface-hub>=0.31.0
 idna==3.10
 ipykernel==6.29.5
 ipython==8.32.0