Update app.py

app.py

@@ -2,13 +2,13 @@ import gradio as gr
 import joblib
 
 # Load your saved model
-model = joblib.load("ann_model.joblib")
+# model = joblib.load("ann_model.joblib")
 
-# Define the prediction function
-def predict(age, hours, education, capital_gain, capital_loss):
-    features = [[age, hours, education, capital_gain, capital_loss]]
-    prediction = model.predict(features)
-    return "Income >50K" if prediction == 1 else "Income <=50K"
+# # Define the prediction function
+# def predict(age, hours, education, capital_gain, capital_loss):
+#     features = [[age, hours, education, capital_gain, capital_loss]]
+#     prediction = model.predict(features)
+#     return "Income >50K" if prediction == 1 else "Income <=50K"
 
 # Create the Gradio interface
 interface = gr.Interface(