def run_decode():
logging.debug('decode your input by our pretrained model')
try:
source = request.get_json()['source'] # GET request with String from frontend directly
logging.debug('input: {}'.format(source)) # GET String-type context from the backend
try:
logging.debug('using the pretrained model.')
sentNums, summary = summarizationModel.decode.run_(source)
except Exception as e:
logging.error(e)
else:
logging.debug('The number of sentences is {}'.format(sentNums))
logging.debug('The abstract is that {}'.format(summary))
results = {'sent_no': sentNums, 'final': summary}
try:
article = Content(text=source)
abstract = Summary(text=summary)
pair = Article(article=article.id, abstract=abstract.id)
article.save()
abstract.save()
pair.save()
except Exception as e:
logging.error(e)
return json.dumps(results)
except:
message = {'message' : 'Fail to catch the data from client.'}
return json.dumps(message)
