updated traning data read

app.py

@@ -474,6 +474,12 @@ def import_data(bucket, key):
     df_data = pd.read_csv(location, encoding = "ISO-8859-1",index_col=0)
     df_data = df_data.reset_index(drop=True)
     return df_data
+
+### Read in data
+def read_data(path, fname):
+    df_data = pd.read_csv(path+fname, encoding = "ISO-8859-1",index_col=0)
+    df_data = df_data.reset_index(drop=True)
+    return df_data
     
 ### Model Training
     
@@ -492,8 +498,9 @@ def get_predictions(selected_variable, selected_industry, selected_campaign,
 #         y_name = 'ytest_MLP_Conversion_Rate.csv'
         key = 'modelCTA_MLP_ConversionRate.sav'
     
-    training_dataset = import_data('s3://emailcampaigntrainingdata/ModelCTA', 'recommendations.csv')
-    X_test = import_data('s3://emailcampaigntrainingdata/ModelCTA', X_name)
+    # training_dataset = import_data('s3://emailcampaigntrainingdata/ModelCTA', 'recommendations.csv')
+    training_dataset=read_data("./data/","recommendations.csv")
+    # X_test = import_data('s3://emailcampaigntrainingdata/ModelCTA', X_name)
 #     y_test = import_data('s3://emailcampaigntrainingdata/ModelCTA', y_name)