parksunwoo

import logging

import openai
import requests
from django.http import JsonResponse
from django.views.decorators.csrf import csrf_exempt
from rest_framework import status
from rest_framework.decorators import api_view, permission_classes
from rest_framework.permissions import AllowAny

parksunwoo

import os
from datetime import timedelta
import logging
import json
import urllib3

from django.core.management.base import BaseCommand
from django.utils import timezone

from core.models import NodeProgrs, NodeSchedule, User

parksunwoo

channels:
  - defaults
dependencies:
  - ipython
  - ipywidgets
  - matplotlib
  - numpy
  - scipy

parksunwoo

'''
Source code for an attention based image caption generation system described
in:
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
International Conference for Machine Learning (2015)
http://arxiv.org/abs/1502.03044
'''

import torch
import torch.nn as nn

parksunwoo

##!pip3 install textrankr

# Step1. 문서요약으로 중요문장 찾기 (여기선 3문장)

from __future__ import print_function
from textrankr import TextRank

f = open("wiki/chosun.txt", 'r')
data = f.read()
textrank = TextRank(data)

parksunwoo

##!pip3 install summa

#Step1. textrank를 활용 문서에서 중요문장 추출

from summa.summarizer import summarize
f = open("wiki_en/chosun.txt", 'r')
data = f.read()
summary = summarize(data, ratio=0.2)

f = open("wiki_en/chosun_min.txt", "w")

parksunwoo

package ssw;

import java.util.*;

/**
 * Created by sunu.park on 2018. 11. 10.
 */

    class Point{
        int x, y;

parksunwoo

parksunwoo

parksunwoo