Update app.py

app.py

@@ -127,12 +127,18 @@ if menu == 'Prediction target':
 # defining categories and numeric columns
 
     col = ['city']
-    columns = list(input_data.columns) 
-    encoded_cat = Encoder.transform(input_data[col])
+    #columns = list(input_data.columns) 
+     input_encoded_df = pd.DataFrame(encoder.transform(input_data).toarray(),
+                                    columns=encoder.get_feature_names_out(col))
+
+    #encoded_cat = Encoder.transform(input_data[col])
 
     # we dropped the categorical encoder column before we concat 
     train_enc = input_data.drop(['city'],axis = 1)
-    input_d = pd.concat([train_enc, encoded_cat], axis=1)
+    #input_d = pd.concat([train_enc, encoded_cat], axis=1)
+    input_d = pd.concat([train_enc, input_encoded_df], axis=1)
+
+
 
     # convert input_data to a numpy array before flattening to convert it back to a 2D array
     input_df= input_d.to_numpy()