akash9182/sentiment-analysis

Sentiment Analysis app is deployed with wsgi server and hosted behind nginx on port 80

Install the requirements using

pip3 install -r requirements.py

How this app works?

• The app takes a sentence as input
• The app uses pre trained vaderSentiment model and computes the cosine distance of each words to compute the sentiment.
• It then returns the results in pie chart format.

This is the input

This is the output

Steps to deploy Django app from GitHub to AWS EC2 with wsgi server and hosted behind nginx on port 80

python manage.py collectstatic
gunicorn --bind 0.0.0.0:8000 sentiment.wsgi:application

sudo vim /etc/systemd/system/gunicorn.service

Edit the gunicorn.service as follows

[Unit]
Description=gunicorn daemon
After=network.target
[Service]
User=ubuntu
Group=www-data
WorkingDirectory=/home/ubuntu/sentiment
ExecStart=/home/ubuntu/sentiment/venv/bin/gunicorn --workers 3 --bind unix:/home/ubuntu/sentiment/sentimentapp.sock sentiment.wsgi:application
[Install]
WantedBy=multi-user.target

sudo systemctl daemon-reload
sudo systemctl start gunicorn
sudo systemctl enable gunicorn
sudo vim /etc/nginx/sites-available/sentiment

Edit site config as follows

server {
  listen 80;
  server_name 54.221.151.161;
  location = /favicon.ico { access_log off; log_not_found off; }
  location /static/ {
      root /home/ubuntu/sentiment;
  }
  location / {
      include proxy_params;
      proxy_pass http://unix:/home/ubuntu/sentiment/sentimentapp.sock;
}
}

sudo ln -s /etc/nginx/sites-available/sentiment /etc/nginx/sites-enabled
sudo nginx -t
sudo rm /etc/nginx/sites-enabled/default
sudo service nginx restart