dependencygraph.py

#ipmort finction from other gists
from entites_graph import NewsMining 
from html_file_parsing import ArticleParsing

#imports
import pandas as pd

# set url
url = "https://towardsdatascience.com/cat-dog-or-elon-musk-145658489730"

# extract text
ap= ArticleParsing(url)
res = ap.main() 

# article content to text
content = '. '.join([res.title[0], res.subtitle[0], res.text[0]])

# extract NERs and graph dependences
Miner = NewsMining()
Miner.main(content,mynewmodel, js=True) # creates graph_show.html dans local repo

# export dependency graph
_input =pd.DataFrame(Miner.events)