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Docker and DigitalOcean Droplet server code for uploading Centivize's summarization and similarity ML algorithms to SingularityNET for public use.

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snet-centivize

Docker and DigitalOcean Droplet server code for uploading Centivize's summarization and similarity ML algorithms to SingularityNET for public use.

Usage - Command Line (SingularityNET CLI)

Similarity Service

snet client call centivize-org centivize default_group similarity '{"par1":"[INSERT PARAGRAPH 1 HERE]","par2":"[INSERT PARAGRAPH 2 HERE]"}' -y

Summarization Service

  1. nano /tmp/my_paragraph.txt
  2. Insert your long paragraph, then save and close the file (^O, ^X).
  3. snet client call centivize-org centivize default_group summarize '{"file@par": "/tmp/my_paragraph.txt", "num": [YOUR NUMBER HERE, recommended number is 11]}' -y

Configuration (DigitalOcean Droplet)

First, download the Daemon here and run sudo cp snetd /usr/local/bin/snetd.

ssh root@<droplet-ip>

ORGANIZATION_ID="centivize"-org
ORGANIZATION_NAME="Centivize"
SERVICE_ID=centivize
SERVICE_NAME="Centivize"
SERVICE_IP=<droplet-ip>
SERVICE_PORT=5001
DAEMON_PORT=5000
DAEMON_HOST=0.0.0.0
USER_ID=$USER
SNET_CLI_HOST=$HOME/.snet/
SNET_CLI_CONTAINER=/root/.snet/
ETCD_HOST=$HOME/.snet/etcd/example-service/
ETCD_CONTAINER=/opt/singnet/etcd/

docker run \
    --name CENTIVIZE \
    -e ORGANIZATION_ID=$ORGANIZATION_ID \
    -e ORGANIZATION_NAME="$ORGANIZATION_NAME" \
    -e SERVICE_ID=$SERVICE_ID \
    -e SERVICE_NAME="$SERVICE_NAME" \
    -e SERVICE_IP=$SERVICE_IP \
    -e SERVICE_PORT=$SERVICE_PORT \
    -e DAEMON_HOST=$DAEMON_HOST \
    -e DAEMON_PORT=$DAEMON_PORT \
    -e USER_ID=$USER_ID \
    -p $DAEMON_PORT-$DAEMON_PORT \
    -v $SNET_CLI_HOST:$SNET_CLI_CONTAINER \
    -v $ETCD_HOST:$ETCD_CONTAINER \
    -ti snet_publish_service bash

git clone https://github.com/rvignav/snet-centivize.git
cd snet-centivize
pip3 install torch torchvision nltk tabulate transformers==3.5.1
pip3 install -U sentence-transformers==0.3.9
cd centivize-service
sh buildproto.sh
sudo python3 run_centivize_service.py --daemon-config snetd.config.json

To test the service, run

sudo python3 test_centivize_service.py

instead of

sudo python3 run_centivize_service.py --daemon-config snetd.config.json

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Docker and DigitalOcean Droplet server code for uploading Centivize's summarization and similarity ML algorithms to SingularityNET for public use.

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