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views.py
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views.py
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import datetime
import argparse
import os
from datetime import date
from pprint import pprint
from client.models import Document
from django.shortcuts import render
from django.http import HttpResponse
from django.conf import settings
from django.contrib.auth.decorators import login_required
from django.shortcuts import render
import PyPDF2
from pprint import pprint
from gensim.summarization import summarize
from src.utils.logging import init_logger
from client.forms import DocumentForm
from client.models import Summary
from client import extraction
from src.train_abstractive import test_text_abs
def str2bool(v):
if v.lower() in ('yes', 'true', 't', 'y', '1'):
return True
elif v.lower() in ('no', 'false', 'f', 'n', '0'):
return False
else:
raise argparse.ArgumentTypeError('Boolean value expected.')
class parser:
#parser.add_argument("-task", default='abs', type=str, choices=['ext', 'abs'])
#parser.add_argument("-large", type=str2bool, nargs='?',const=True,default=False)
#parser.add_argument("-sep_optim", type=str2bool, nargs='?',const=True,default=False)
#parser.add_argument("-use_bert_emb", type=str2bool, nargs='?',const=True,default=False)
task = 'abs'
encode='bert' # type=str, choices=['bert', 'baseline'])
mode='test_text' # type=str, choices=['train', 'validate', 'test', 'test_text'])
test_from = 'base_model.pt'
result_path = f'./results/{str(datetime.datetime.now())}'
log_file = './logs/abs/'
visible_gpus='-1' # type=str)
#min_length =
#max_length =
bert_data_path='./bert_data_new/cnndm'
model_path='./models/'
temp_dir='./temp'
text_tgt=''
batch_size=140 # type=int)
test_batch_size=200 # type=int)
max_ndocs_in_batch=6 # type=int)
max_pos=512 # type=int)
use_interval=True
large=False
load_from_extractive='' # type=str)
sep_optim=False
lr_bert=2e-3 # type=float)
lr_dec=2e-3 # type=float)
use_bert_emb=False
share_emb=False
finetune_bert=True
dec_dropout=0.2 # type=float)
dec_layers=6 # type=int)
dec_hidden_size=768 # type=int)
dec_heads=8 # type=int)
dec_ff_size=2048 # type=int)
enc_hidden_size=512 # type=int)
enc_ff_size=512 # type=int)
enc_dropout=0.2 # type=float)
enc_layers=6 # type=int)
# params for EXT
ext_dropout=0.2 # type=float)
ext_layers=2 # type=int)
ext_hidden_size=768 # type=int)
ext_heads=8 # type=int)
ext_ff_size=2048 # type=int)
label_smoothing=0.1 # type=float)
generator_shard_size=32 # type=int)
alpha=0.6 # type=float)
beam_size=5 # type=int)
min_length=15 # type=int)
max_length=150 # type=int)
max_tgt_len=140 # type=int)
param_init=0 # type=float)
param_init_glorot=True
optim='adam' # type=str)
lr=1 # type=float)
beta1= 0.9 # type=float)
beta2=0.999 # type=float)
warmup_steps=8000 # type=int)
warmup_steps_bert=8000 # type=int)
warmup_steps_dec=8000 # type=int)
max_grad_norm=0 # type=float)
save_checkpoint_steps=5 # type=int)
accum_count=1 # type=int)
report_every=1 # type=int)
train_steps=1000 # type=int)
recall_eval=False
gpu_ranks='0' # type=str)
seed=666 # type=int)
test_all=False
test_start_from=-1 # type=int)
train_from=''
report_rouge=True
block_trigram=True
args = parser
args.gpu_ranks = [int(i) for i in range(len(args.visible_gpus.split(',')))]
args.world_size = len(args.gpu_ranks)
os.environ["CUDA_VISIBLE_DEVICES"] = args.visible_gpus
init_logger(args.log_file)
device = "cpu" if args.visible_gpus == '-1' else "cuda"
device_id = 0 if device == "cuda" else -1
def summarize_pdf(pdf_file, sent_percentage):
pdf_file_obj = open(pdf_file, 'rb')
pdf_reader = PyPDF2.PdfFileReader(pdf_file_obj)
title = pdf_reader.getDocumentInfo().title
summary_title = "Summary"
if title is not None:
summary_title = title+' - '+summary_title
num_of_pages = pdf_reader.numPages
body = ''
for i in range(num_of_pages):
pageobj = pdf_reader.getPage(i)
body = body + "\n\n" + pageobj.extractText()
pdf_file_obj.close()
summary = test_text_abs(parser, body)
summary = summary_title+"\r\n\r\n"+summary
return summary
def index(request):
return render(request, 'client/index.html')
def summarize_page(request):
url = request.GET.get('url')
long_text = request.GET.get('message')
sentence_no = int(request.GET.get('phone'))
algorithm = str(request.GET.get('algorithm'))
result_list = []
if url:
long_text = extraction.extract(url) # text extraction using BS
if algorithm is '2':
results = summarize(long_text, ratio=0.5)
else:
long_text = long_text.replace('\n', ' ').replace('\r', '')
if sentence_no is 2:
results = test_text_abs(args, long_text)
else:
args.max_length = sentence_no
results = test_text_abs(args, long_text)
context = {'data': results, 'original_text': original_text}
return render(request, "client/index.html", context)
@login_required
def save_summary(request):
summary = request.POST.get('summary')
topic = request.POST.get('topic')
if len(topic) < 50:
heading = topic
else:
heading = topic[:50] + '...'
summaryTb = Summary(user=request.user, body=summary, original_link=heading, date_created=date.today())
summaryTb.save()
context = {'message': 'success'}
return render(request, "summarizer/index.html", context)
def history(request):
summary = Summary.objects.filter(user=request.user).order_by('-id')
context = {'data': summary}
return render(request, "summarizer/history.html", context)
def history_topic(request):
if request.method == 'GET':
topic = request.GET.get('topic')
summary = request.GET.get('body')
context = {'topic': topic, 'body': summary}
return render(request, "summarizer/history_topic.html", context)
def file_form_upload(request):
if request.method == 'POST':
form = DocumentForm(request.POST, request.FILES)
if form.is_valid():
summary_p = form.cleaned_data['summary_p']
file_name = form.cleaned_data['document'].name
file_name = file_name.replace(' ', '_')
outputfile = file_name[:-4]
out_file_name = outputfile+'.txt'
form.save()
media_root = getattr(settings, 'MEDIA_ROOT', None)
file_location = os.path.join(media_root, file_name)
summary = summarize_pdf(file_location, summary_p)
response = HttpResponse(summary, content_type='text/plain')
response['Content-Disposition'] = 'attachment; filename={0}'.format(out_file_name)
os.remove(os.path.join(media_root, file_location))
Document.objects.all().delete()
return response
else:
form = DocumentForm()
return render(request, 'news/file_form.html', {
'form': form
})