Update app.py

app.py

@@ -22,7 +22,7 @@ preprocessor = ColumnTransformer(
 
 # Pipeline for preprocessing and model prediction
 pipeline = Pipeline(steps=[('preprocessor', preprocessor), ('regressor', model)])
-pipeline.fit(df[['R&D Spend', 'Administration', 'Marketing Spend', 'State']], df[['Profit']])
+pipeline.fit(df[['R&D Spend', 'Administration', 'Marketing Spend', 'State']], df['Profit'])
 
 # Prediction function
 def price_pred(rd, administration, marketing, state):