Update app.py

app.py

@@ -1,4 +1,4 @@
-import gradio as gr
+mport gradio as gr
 import joblib
 import numpy as np
 import pandas as pd
@@ -30,19 +30,17 @@ def encode_categorical_columns(df):
     df = pd.get_dummies(df, columns=nominal_columns, drop_first=True)
 
     return df
-
-# Define the prediction function
 def predict_performance(Location, Course, College, Faculty, Source, Event, Presenter, Visited_Parent, Visited_College_for_Inquiry, Attended_Any_Event, College_Fee, GPA, Year):
-   
-
     input_data = [Location, Course, College, Faculty, Source, Event, Presenter, Visited_Parent, Visited_College_for_Inquiry, Attended_Any_Event, College_Fee, GPA, Year]
 
+    # Updated feature names to use underscores instead of spaces
     feature_names = [
         "Location", "Course", "College", "Faculty", "Source", "Event", "Presenter", 
-        "Visited Parent", "Visited College for Inquiry", "Attended Any Event", "College Fee", "GPA", "Year"
+        "Visited_Parent", "Visited_College_for_Inquiry", "Attended_Any_Event", "College_Fee", "GPA", "Year"
     ]
     
     input_df = pd.DataFrame([input_data], columns=feature_names)
+
     
     # Debug print 2: Show DataFrame before encoding
     print("\nDataFrame before encoding:")