Update app.py

app.py

@@ -3,7 +3,7 @@ import pickle
 import pandas as pd
 
 # Load model
-with open("model.pkl", "rb") as f:
+with open("model1.pkl", "rb") as f:
     model = pickle.load(f)
 
 # Define categorical mappings (must match training!)
@@ -52,15 +52,16 @@ def predict_jamb(study_hours, attendance, teacher_quality, distance,
 
     if prediction == 0:
         return "📉 Below Average"
-    elif prediction == 1:
-        return "⚖️ Average"
+    #elif prediction == 1:
+      #  return "⚖️ Average"
     else:
         return "✅ Pass"
 
 # Gradio UI
 with gr.Blocks() as demo:
     gr.Markdown("# 🎓 JAMB Score Prediction App")
-    gr.Markdown("Predict student's JAMB performance (Below Average, Average, Pass).")
+    gr.Markdown("Predict student's JAMB performance (Below Average, Pass).")
+    gr.Markdown("Fill in the details below to predict!")
 
     with gr.Row():
         study_hours = gr.Slider(0, 40, value=10, label="Study Hours per Week")