code: def empty_table(*headers):
      return ColumnDataSource(
          data={header: 19 * [""] for header in headers}
      )
  
imports: import base64
  import io
  import os
  import json
  from os.path import join
  import pandas
  import numpy
  from bokeh import layouts
  from bokeh.document import Document
  from bokeh.layouts import widgetbox, row, column, layout
  from bokeh.models import Div, CustomJS, HoverTool, Title, ColumnDataSource
  from bokeh.models.widgets import DataTable, TableColumn, TextInput
  from bokeh.models.widgets import HTMLTemplateFormatter, RadioButtonGroup
  from bokeh.models.widgets import Dropdown
  from bokeh.models.widgets import Tabs, Panel
  from bokeh.plotting import Figure, figure
  from bokeh.server.server import Server
  from bokeh.transform import dodge
  from bokeh.core.properties import value
  from tornado.web import StaticFileHandler
  from nlp_architect import LIBRARY_ROOT
  from nlp_architect.models.absa import LEXICONS_OUT
  from nlp_architect.models.absa.train.acquire_terms import AcquireTerms
  from nlp_architect.models.absa.train.train import TrainSentiment
  from sentiment_solution import SENTIMENT_OUT, SentimentSolution
label_desc: Use image node_id 3 for calling a global function with example usage: empty_table() and returns: ColumnDataSource