Update app.py

app.py

@@ -25,7 +25,7 @@ with open(metadata_path, "r") as f:
 # Load SBERT model (will download at runtime)
 sbert = SentenceTransformer("sentence-transformers/paraphrase-mpnet-base-v2")
 
-def predict_score(essay_text, gender, race_ethnicity, disability, disadvantaged, ell_status):
+def predict_score(essay_text, gender, race_ethnicity, assignment, prompt_name, disability, disadvantaged, ell_status):
     # Encode essay
     essay_embedding = sbert.encode([essay_text])