alphonsus411/gpt2-gui

GPT-2 prototype/investigation

GPT-2 Test

Intention

To investigate the generated content provided by the GPT-2 117M learned model - GPT-2 repo.

Feature creep

• Download each iteration as .txt
• Download all iterations as .txt
• On live, create request and output logs

Setup

• Clone this repo
• Open terminal and cd to the cloned repo location

brew install python
pip3 install virtualenv
cd src
virtualenv venv
source venv/bin/activate
pip3 install Flask flask-cors tensorflow==1.13.1
pip3 install -r requirements.txt
python3 download_model.py 117M
python3 download_model.py 345M
python3 download_model.py 774M

Running

In terminal:

python3 application.py

• Go to http://0.0.0.0:80
• Insert the text you want to use as a seed in the text field and hit submit
• A waiting for repsonse... message will appear until the generated content is...uh...generated, then the content will replace the message

GPT-2 repo README

This repo is based on the original GPT-2 repo, you can read the setup instructions in this repo's GPT2-README.md

Creating the live server

Tried to get this up on Heroku or a Lambda but both have storage size limits which are too small for the 500MB model + repo code and requirements.

• Heroku - 500MB
• Lambda - 250MB

So had to settle for a custom EC2 build.

AWS EC2 instance

• Step 1
  • Amazon Linux 2 AMI
• Step 2
  • Select t2.medium
• Step 3:
  • Auto-assign Public IP to Enable
  • Otherwise Default settings
• Step 4
  • Set 12 GBs of storage
• Step 5
  • teamDL: [email protected]
  • systemCode: ftlabs-gpt2
  • environment: p
• Step 6
  • Use ftlabs-gpt2SG security gruop which grants:
    • SSH - FT internal IPs
    • HTTP - 0.0.0.0/0, ::/0
    • HTTPS - 0.0.0.0/0, ::/0
• Step 7
  • Create using new key (currently ftlabs-gpt.pem) or ley you already have access to

Connect to instance

• cd .aws
• ssh -i "ftlabs-gpt2-key.pem" ec2-54-194-234-190.eu-west-1.compute.amazonaws.com

Installing the repo and requirements

sudo yum install python3 git gcc python3-devel
git clone https://github.com/ftlabs/gpt2-gui.git
cd ~/gpt2-gui/src
sudo pip3 install Flask flask-cors tensorflow==1.13.1
sudo pip3 install -r requirements.txt
sudo python3 download_model.py 117M
sudo python3 download_model.py 345M
sudo python3 download_model.py 774M

Add a cron job to restart the server on reboot

• crontab -e
• i
• paste this line: screen -dmS gpt2-gui-server bash -c 'cd ~/gpt2-gui/src; sudo python3 application.py; exec sh'
• press esc
• type :wq

Running

• Use screen -r to see running script (should be one from booting up server)
• if not:

cd ~/gpt2-gui/src
screen -dmS gpt2-gui-server bash -c 'cd ~/gpt2-gui/src; sudo python3 application.py; exec sh'

cmd + shift + a then d

Updating

• ssh into server
• screen -r gpt2-gui-server
• cmd + shift + a then d
• y

cd gpt2-gui
git pull origin master
cd src
screen -dmS gpt2-gui-server bash -c 'cd ~/gpt2-gui/src; sudo python3 application.py; exec sh'

Server is now running and you can exit the ssh session.

Checking

• screen -ls - see current running screens
• screen -r <name> - access a specific screen

Close an exisitng screen

• screen -r <name> - access a specific screen
• cmd + shift + a then k
• y

Appendix

• Deploying flask to AWS tutorial