Update app.py

app.py

@@ -17,7 +17,7 @@ def predict(age, workclass, education, marital_status, occupation, relationship,
     "age", "workclass", "educational-num", "marital-status", "occupation", 
     "relationship", "race", "gender", "capital-gain", "capital-loss", 
     "hours-per-week", "native-country"]
-    df = pd.DataFrame(index=features, columns=columns)
+    df = pd.DataFrame(data=features, columns=columns)
     fixed_features = cleaning_features(df)
     # prediction = model.predict(features)
     # prediction = 1
@@ -49,7 +49,7 @@ def cleaning_features(data):
     # Binarize native country
     data['native-country'] = data['native-country'].apply(lambda x: x == 'United-States')
     data['native-country'] = data['native-country'].astype(int)
-    #data = pca(data)
+    data = pca(data)
     return data
 
 # def pca(data):