Python for AI

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