Reduce number of bootstraps for faster inference for demo

app.py

@@ -16,7 +16,7 @@ def generate_data(file, num_samples):
         df = pd.DataFrame(data[0])
     elif '.csv' in file.name:
         df = pd.read_csv(file.name)
-    rtf_model.fit(df, num_bootstrap=100) # Default is 500
+    rtf_model.fit(df, num_bootstrap=10) # Default is 500
     # Generate synthetic data
     samples = rtf_model.sample(n_samples=num_samples)
 
@@ -53,7 +53,7 @@ def generate_relational_data(parent_file, child_file, join_on):
     df=child_df,
     in_df=parent_df,
     join_on=join_on,
-    num_bootstrap=100)
+    num_bootstrap=10)
 
     # Generate parent samples.
     parent_samples = rtf_model.sample(5)