Update app.py

app.py

@@ -185,7 +185,7 @@ def greet(operation,filer):
       VotingClassifier(estimators=[('knn',
                                     KNeighborsClassifier(leaf_size=10,
                                                         metric='manhattan')),
-                                  ('rf', RandomForestClassifier(max_depth=100)),('gm',LGBMClassifier(n_estimators=200, num_leaves=60))],voting='soft')]
+                                  ('rf', RandomForestClassifier(max_depth=100)),('gm',LGBMClassifier(n_estimators=200, num_leaves=60))])]
       metrics = dict()
       for model in models1:
           model.fit(X_smote,y_smote)