Update app.py

app.py

@@ -44,11 +44,14 @@ with col2:
 if st.button("Predict"):
     # Feature Scaling
     numerical_cols = ['day', 'month', 'year', 'shop_id', 'item_id', 'item_price', 'item_category_id']
-    scaler = scaler
+    scaler.fit(input_data)
     input_df = pd.DataFrame(input_data, index=[0])
-    input_df_scaled = scaler.fit_transform(input_df[numerical_cols])
+    input_df_scaled = scaler.transform(input_df[numerical_cols])
     input_df_scaled = pd.DataFrame(input_df_scaled, columns=numerical_cols)
     
+    # Fit the model
+    rf_model.fit(input_df_scaled)
+    
     # Make predictions using the trained model
     predictions = rf_model.predict(input_df_scaled)