Create, style, and enhance web apps with AI capabilities. In this advanced Python course, you'll develop a powerful sentiment analysis web application with Flask and the OpenAI API integration and learn how to take your coding projects to the next level 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
