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# -*- coding: utf-8 -*-
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, State
import pickle
import plotly.express as px
import pandas as pd
import numpy as np
import datetime
import time
# get wikipedia data
with open('scraped_new.p','rb') as f:
texts = pickle.load(f)
queries = set([t['query'] for t in texts ])
temp = [t for t in texts if 'standard' in t.keys() and 'wikipedia' in t['link']]
science = ['cancer','Vaccines','evolution','climate change','Transgenic','photosysnthesis','evolution','GMO']
res = [t['standard'] for t in temp if t['query'] in science]
mwp = np.mean(res)
abstract_wiki = {'standard':mwp}
def new_old(old,new):
old['Art_Corpus_Derived'] = True
new['Art_Corpus_Derived'] = False
newer = old.append(new)
return newer
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
def long_process(NAME):
with open('traingDats.p','rb') as f:
artcorpus = pickle.load(f)
with open('scraped_new.p','rb') as f:
new_author = pickle.load(f)
new_author = pd.DataFrame(new_author)
artcorpus = pd.DataFrame(artcorpus)
print('enters long process')
verbose = True
# compute expensive code that I really want to use.
# import online_app_backend
# from SComplexity import online_app_backend
# ar = online_app_backend.call_from_front_end(NAME,verbose=verbose)
newer = new_old(artcorpus,ar)
plot = dcc.Graph(
id='example-graph',
figure = px.histogram(newer, x="standard", y="standard", color="Art_Corpus_Derived",
marginal="box", # or violin, rug
hover_data=newer.columns,width=900, height=900)
)
return plot
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
app.layout = html.Div([
html.Button(id='submit-button', n_clicks=0, children='Submit'),
dcc.Input(id='input-1-state', type='text', value='enter author name'),
html.Div(id='newer'),
html.Div([html.Img(id = 'long_process', src = '')],
id='plot_div'),
html.H1(children='Author contest on science readability'),
html.Div(children='''
Wikipedia on science, versus art corpus all biochem papers.
''')
])
@app.callback(
Output('newer', 'children'),
[Input('submit-button', 'n_clicks')],
[State('input-1-state', 'value')]
)
def update_graph(n_clicks, value):
print(u'''
The Button has been pressed {} times,
Input 1 is "{}",
and Input 2 is "{}"
'''.format(n_clicks))
print(u'''
The Button has been pressed {} times,
Input 1 is "{}",
and Input 2 is "{}"
'''.format(value))
newer = long_process(value)
return newer
app.css.config.serve_locally = True
app.scripts.config.serve_locally = True
if __name__ == '__main__':
app.run_server(debug=True)
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