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pip install streamlit
pip install spacy
python -m spacy download en_core_web_sm
python -m spacy download en_core_web_md
python -m spacy download de_core_news_sm

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import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)

app.layout = html.Div([

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import asyncio

import streamlit as st
from httpx_oauth.clients.google import GoogleOAuth2

st.title("Google OAuth2 flow")

"## Configuration"

client_id = st.text_input("Client ID")

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import asyncio

import streamlit as st
from httpx_oauth.clients.google import GoogleOAuth2

st.title("Google OAuth2 flow")

"## Configuration"

client_id = st.text_input("Client ID")

laranea

#!/usr/bin/env python

from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String
from sqlalchemy.orm import sessionmaker

engine = create_engine('sqlite:///:memory:', echo=True)
Session = sessionmaker(bind=engine)
Base = declarative_base()

laranea

#!/usr/bin/env python

from sqlalchemy import create_engine
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String
from sqlalchemy.orm import sessionmaker

engine = create_engine('sqlite:///:memory:', echo=True)
Session = sessionmaker(bind=engine)
Base = declarative_base()

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## Following these commands should upgrade and migrate your existing database.
## This is an example of going from 9.6.2 to 10.5 on OSX.
## Be sure to update any version numbers based on the versions you're upgrading from and to.

## Adapted from https://stackoverflow.com/questions/24379373/how-to-upgrade-postgresql-from-version-9-6-to-version-10-1-without-losing-data

## Backup your database, just in case (replace databasename with your actual DB name)
pg_dump databasename > ~/Desktop/dev_dump

## Stop postgres

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import time
import random
import math
import numpy as np

import logbook
log = logbook.Logger('Optimization')

from neuronquant.network.transport import ZMQ_Dealer

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import re
import glob
import subprocess

from os.path import exists
from sys import exit


INPUT_FOLDER = 'input/'
OUTPUT_FOLDER = 'output/'

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