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A utility for manual classification / labeling for NLP and deep learning.
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mikkokotila/coder-1
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THIS PROJECT IS BASED ON https://buildasaasappwithflask.com/ , AN EXCELLENT COURSE TO BUILDING PYTHON FLASK APPLICATIONS BY NICK JANETAKIS This was my first Flask project, and I made good decision to base it on the course to get all the necessary docker stuff etc. as quickly working as possible. Nick provides excellent support for his courses, so if you feel need to learn how to build this further or any other Flask application, I sincerely recommend his course. INSTALLING DOCKER Ubuntu: https://docs.docker.com/engine/installation/linux/ubuntu/ Debian https://docs.docker.com/engine/installation/linux/debian/ RHEL https://docs.docker.com/engine/installation/linux/rhel/ CentOS https://docs.docker.com/engine/installation/linux/centos/ Fedora https://docs.docker.com/engine/installation/linux/fedora/ Further information for other platforms: https://nickjanetakis.com/blog/should-you-use-the-docker-toolbox-or-docker-for-mac-windows CHECK THAT DOCKER IS WORKING type: $ docker --version DOCKER COMPOSE INSTALLATION Linux users need to download Docker Compose: curl -L \ https://github.com/docker/compose/releases/download/1.16.1/docker-compose-Linux-x86_64 > \ /tmp/docker-compose && \ chmod +x /tmp/docker-compose && \ sudo mv /tmp/docker-compose /usr/local/bin BUILDING AND STARTING type at project home directory: $ docker-compose up --build After this you can visit the site in browser at address: http://localhost:8000/
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A utility for manual classification / labeling for NLP and deep learning.
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