Chatbot training model in the form of a Scramjet Sequence
For installing packaging dependencies required from requirements.txt
pip3 install -t __pypackages__ -r requirements.txt
Pack a sequence into a tar.gz file.
si seq pack <path/to/folder>
Start STH with:
DEVELOPMENT=true yarn start --runtime-adapter=docker
si seq send training_sequence.tar.gz --progress
si seq start <seq-id>
$ docker ps
|CONTAINER ID__|IMAGE_________________________| COMMAND___________| CREATED_______| STATUS________|PORTS_________| NAMES
|__<container-id>|scramjetorg/runner-py:0.33.1 | "/usr/bin/tini -- do…" | 4 seconds ago| Up 2 seconds____|________________| youthful_davinci
docker exec -ti <container-id> /bin/bash
#Inside container
python -m pip install numpy