Realtime Single Channel Chat Application with Sentiment Analysis
Features:
• Implemented with Python Flask-SocketIO
• Database using PostgreSQL
• Sentiment Analysis using AYLIEN Text Analysis API
- The emojis :), :(, or :| will be displayed at the end of each message depending on the detected emotion
- The credentials will expire on Jan 28, 2020
• Deployed using Heroku: https://flask-chat-yuan.herokuapp.com/
Files:
• app.py: Main application file for the route of the registration and login page as well as the Flask-SocketIO communication with the client
• db.py: Defines the model using Flask-SQLAlchemy for user data
• wtform_fields.py: Defines the registration and login forms as classes using Flask-WTForms and validators for input verification (length, duplicate detection, etc.)
• Procfile: Specifies the commands for Heroku
• requirements.txt: Required python packages
• templates/: HTML files
- main_layout.html: General layout set-up for the forms
- macros.html: Helper template for the forms
- login.htmlL Login page
- index.html: Registration page
- chat.html: Chat page
- 404.html: Not found page
• static/: Javascript and CSS files
- scripts/chat_page.js: Sending messages on keypress
- scripts/socketio.js: SocketIO communication with the server and displaying chat data
- style/style.css: Style for registration, login,and 404 pages
- style/chat_style.css: Style for chat page