from dash import no_update
import pandas as pd
import pyLDAvis
import pyLDAvis.gensim
from app import app
from topic_model import TopicModel
from data_parser import DataParser
data_parser = DataParser()
tm = TopicModel()
df = data_parser.letters_to_df()
pos_counts = data_parser.get_pos_counts()
rank_set, rank_list = data_parser.get_rank()
rel_set, rel_list = data_parser.get_relationship()
years_set = data_parser.get_years()
pos_tags = data_parser.get_pos_list()
# Callback for the slider element
@app.callback(
Output('slider-output', 'children'
), # Modified string with the years is passed to the Div-element
Output(
'slider-values', 'value'
), # Unmodified list of the selected years is passed to the next callback
Input('time-slider', 'value'))
def set_cities_options(selected_years):
years = 'Selected period: {start} - {end}'.format(start=selected_years[0],
end=selected_years[1])
dcc.Dropdown(
id = 'rel-filter',
options = data_parser.get_relationship()[1],
value = list(data_parser.get_relationship()[0]),
multi = True
)
]
),
html.Br(),
html.Div(
children=[
'Select time range for the letters to be used in the model: ',
# Dash Slider component for selecting the time range
dcc.RangeSlider(
id='time-slider',
min=min(data_parser.get_years()),
max=max(data_parser.get_years()),
step=1,
value=[min(data_parser.get_years()), max(data_parser.get_years())]
),
html.Div(id='slider-output'),
# Hidden div-element
html.Div(id='slider-values', hidden=True)
]
)
]
),
html.Br(),
# Button that initiates model training with the given variables
html.Button('Train model', id='button', n_clicks = 0),
html.Br(),
