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summarization.py
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summarization.py
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##########################################################################
# Copyright 2018 Kata.ai
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
##########################################################################
import json
from sacred import Ingredient
from ingredients.corpus import ing as corpus_ingredient, read_jsonl
from models import AbstractSummarizer
# TODO Putting corpus ingredient here does not feel right. When summarizing, we do not need
# the corpus. Any jsonl file will do. What we need here is the `read_jsonl` function and its
# preprocessing. That might be best put in a separate ingredient.
ing = Ingredient('summ', ingredients=[corpus_ingredient])
@ing.config
def cfg():
# path to the JSONL file to summarize
path = 'test.jsonl'
# extract at most this number of sentences as summary
size = 3
@ing.capture
def run_summarization(model: AbstractSummarizer, path, size=3):
for doc in read_jsonl(path):
summary = set(model.summarize(doc, size=size))
sent_id = 0
for para in doc.paragraphs:
for sent in para:
sent.pred_label = sent_id in summary
sent_id += 1
print(json.dumps(doc.to_dict(), sort_keys=True))