flights_main.py

# Pandas for data management
import pandas as pd

# os methods for manipulating paths
from os.path import dirname, join

# Bokeh basics 
from bokeh.io import curdoc
from bokeh.models.widgets import Tabs


# Each tab is drawn by one script
from scripts.histogram import histogram_tab
from scripts.density import density_tab
from scripts.table import table_tab
from scripts.draw_map import map_tab
from scripts.routes import route_tab

# Using included state data from Bokeh for map
from bokeh.sampledata.us_states import data as states

# Read data into dataframes
flights = pd.read_csv(join(dirname(__file__), 'data', 'flights.csv'), 
	                                          index_col=0).dropna()

# Formatted Flight Delay Data for map
map_data = pd.read_csv(join(dirname(__file__), 'data', 'flights_map.csv'),
                            header=[0,1], index_col=0)

# Create each of the tabs
tab1 = histogram_tab(flights)
tab2 = density_tab(flights)
tab3 = table_tab(flights)
tab4 = map_tab(map_data, states)
tab5 = route_tb(flights)

# Put all the tabs into one application
tabs = Tabs(tabs = [tab1, tab2, tab3, tab4, tab5])

# Put the tabs in the current document for display
curdoc().add_root(tabs)

Hello good afternoon.!
I liked the article Data Visualization with Bokeh in Python, Part III: Making a Complete Dashboard, and downloaded the file bokeh_app.zip I do the step that says but when the application runs in bokeh serve the page of http: // localhost : 5006 / me aparace en blancon, my question is how can I solve this problem ..