Update app.py

app.py

@@ -31,11 +31,13 @@ def predict_score(essay_text, gender, race_ethnicity, disability, disadvantaged,
     
     # Prepare metadata as dict
     metadata_input = {
-        "gender": gender,
-        "race_ethnicity": race_ethnicity,
-        "student_disability_status": disability,
-        "economically_disadvantaged": disadvantaged,
-        "ell_status": ell_status
+        "gender": "female",
+        "race_ethnicity": "Asian",
+        "assignment": "Informative",  # ✅ must be here
+        "prompt_name": "Education Benefits",
+        "economically_disadvantaged": "No",
+        "student_disability_status": "None",
+        "ell_status": "No"
     }
 
     # Convert to array in correct order
@@ -59,9 +61,11 @@ iface = gr.Interface(
         gr.Textbox(label="Essay Text", lines=10, placeholder="Paste your essay here..."),
         gr.Dropdown(["Male", "Female", "Other"], label="Gender"),
         gr.Dropdown(["Asian", "Black", "Hispanic", "White", "Other"], label="Race/Ethnicity"),
-        gr.Dropdown(["Yes", "No"], label="Student has Disability"),
+        gr.Dropdown(["Informative", "Argumentative", "Narrative"], label="Assignment"),  # ✅ ADD
+        gr.Dropdown(["Education Benefits", "Technology Impact", "Climate Change"], label="Prompt Name"),  # ✅ ADD
         gr.Dropdown(["Yes", "No"], label="Economically Disadvantaged"),
-        gr.Dropdown(["Yes", "No"], label="ELL Status")
+        gr.Dropdown(["Yes", "No"], label="Student has Disability"),
+        gr.Dropdown(["Yes", "No"], label="ELL Status"),
     ],
     outputs=gr.Number(label="Predicted Essay Score"),
     title="Automated Essay Scoring App"