Update app.py

app.py

@@ -22,16 +22,16 @@ def predict_spending_score(annual_income, family_size, work_experience):
     features = df[['Annual Income ($)', 'Family Size', 'Family_Income_Product', 'Family_Income_Ratio']]
     features_scaled = scaler.transform(features)
     
- 
+    
     cluster = kmeans.predict(features_scaled)
     return f'Cluster: {int(cluster[0])}'
 
 iface = gr.Interface(
     fn=predict_spending_score,
     inputs=[
-        gr.Number(label="Annual Income ($)", default=50000),
-        gr.Number(label="Family Size", default=2),
-        gr.Number(label="Work Experience (years)", default=5)
+        gr.Number(label="Annual Income ($)", value=50000),
+        gr.Number(label="Family Size", value=2),
+        gr.Number(label="Work Experience (years)", value=5)
     ],
     outputs="text",
     live=True