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Deep learning site

Requirements

Install Docker: https://www.digitalocean.com/community/tutorials/how-to-install-and-use-docker-on-ubuntu-18-04

Install Git: https://www.digitalocean.com/community/tutorials/how-to-install-git-on-ubuntu-18-04-quickstart

Usage

Step 1. Clone the repository

git clone https://github.com/zinzinhust96/deep-learning-site.git

Step 2. Install the dependencies

cd deep-learning-site
pip3 install -r requirements.txt

Step 3. Copy model files and psiblast software to project directory (./deep-learning-site) from https://drive.google.com/drive/folders/1ub0zkwnQbDLAug_GeHVajsSCGh439FQn?usp=sharing

Step 4. To run the project locally, enter the command

python3 main.py

Step 5. To run the production server, we have to build a docker container from image first

docker build . -t deep-learning-site:latest

Step 6: To run the container in the background

docker run --env-file ./env.list -it -d --name dl-site -p 80:5000 -v $PWD/ncbi-blast-2.9.0+:/opt/app/ncbi-blast-2.9.0+ -v $PWD/problem-1:/opt/app/problem-1 -v $PWD/problem-2:/opt/app/problem-2 deep-learning-site:latest

(-v specifies the volume mounting to the folder in the project directory to be included in the container, which is too large if we actually include them. If you have more model files, you have to specify exactly like so)

If you have make changes and want to redeploy the container

git pull
docker ps -a      # and then grab the container_id
docker stop $(container_id)
docker rm $(container_id)
# redo step 5 and 6

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