Create, style, and enhance web applications with AI capabilities. In this advanced Python course, you'll develop a powerful sentiment analysis web application using Flask and OpenAI API integration and learn how to elevate your coding projects with AI.
Overview
Syllabus
Introduction to Flask
- Overview of Flask and its use cases
- Setting up a Flask project
- Creating and running your first Flask app
Building the Web Application
- Designing the HTML structure and creating templates
- Styling the app with CSS
- Creating Flask routes for handling requests and rendering templates
Integrating the OpenAI API
- Setting up the OpenAI API and acquiring an API key
- Making API calls to perform sentiment analysis
- Parsing and displaying the API's results in your web app
Handling User Input
- Building forms in HTML to capture user input
- Processing form submissions in Flask
- Displaying dynamic content based on user input
Error Handling & Debugging
- Implementing error handling to catch and manage potential issues
- Debugging common errors and understanding Flask's error messages
Deploying & Testing
- Running the Flask app locally and testing its functionality
- Reviewing the complete workflow of submitting a comment and receiving sentiment analysis results
Taught by
Dan Rodney, Garfield Stinvil, Mourad Kattan, and Christophe Drayton
