How to package and distribute my customized/enhaced DeepPavlov version?

michaelwechner · February 9, 2020, 11:11am

I have extended DeepPavlov with a REST interface to retrain and rebuild the model

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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and would like now to package and distribute this on a server.

I have found the following general instruction

but it seems to that DeepPavlov is doing this differently.

How would you do this?

Thanks

Michael

yoptar · February 17, 2020, 2:15pm

Hi @michaelwechner,

You can run

pip install git+https://github.com/wyona/DeepPavlov.git@riseapi_retrain#egg=deeppavlov==0.7.1

on your server to install DeepPavlov from your github fork.

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How to package and distribute my customized/enhaced DeepPavlov version?

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