Hilal-Urun

# pip install install mysql-connector-python
import mysql.connector
from mysql.connector import Error

connection = mysql.connector.connect(host='db-mysql-fra1-08423-do-user-8476727-0.b.db.ondigitalocean.com',
                                     database='defaultdb',
                                     port='25060',
                                     user='doadmin',
                                     password='AVNS_gVLHcpWOtMuGqTO')
if connection.is_connected():

Hilal-Urun

#!pip install sentence-transformers==2.2.0
from sentence_transformers import SentenceTransformer, util
model = SentenceTransformer("sentence-transformers/all-mpnet-base-v2")
#fbInterests func takes 2 arrays which are contain interests of google and fb and returs a similarty dict with accuracy scores
def fbInterests(google, fb):
    sims={}
    for g in google:
        for f in fb :
            g_embedding = model.encode(g)
            f_embedding = model.encode(f)

Hilal-Urun

from Bio import Entrez
from html_parser import strip_tags

Entrez.email = '[email protected]'
pmc_id = "Write pmc id here" # papers pmc id or you can add also ids 
fetch = Entrez.efetch(db='pmc',
                              resetmode='xml',
                              id=pmc_id,
                              rettype='full')
data=(fetch.read()).decode("UTF-8")

Hilal-Urun

from flask import Flask

app = Flask(__name__)


@app.route('/')
def hello_world():
    return 'Hello World!'