Training DeepPavlov without restarting riseapi

michaelwechner · January 26, 2020, 9:33pm

Hi

I am using

python3 -m deeppavlov train tfidf_logreg_en_faq.json

to train DeepPavlov. In order to make the new model available I have to restart DeepPavlov

ps ax | grep deeppavlov
kill PROCESS_ID
python3 -m deeppavlov riseapi tfidf_logreg_en_faq.json &

How could I enhance DeepPavlov, such that I don’t have to restart the riseapi version?

What about doing this via the REST API, e.g.

http://0.0.0.0:5000/reload

?

Thanks

Michael

michaelwechner · February 9, 2020, 11:04am

I have created a REST interface to retrain and rebuild the model, whereas please see

github.com

wyona/DeepPavlov/blob/riseapi_retrain/deeppavlov/utils/server/server.py

# Copyright 2017 Neural Networks and Deep Learning lab, MIPT
#
# 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 asyncio
import argparse
from deeppavlov.core.common.file import find_config
from deeppavlov.core.commands.train import train_evaluate_model_from_config
from collections import namedtuple
from logging import getLogger

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Training DeepPavlov without restarting riseapi

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