Make Apps with ChatGPT and Generative AI - ChatGPT Response Management

The video tutorial demonstrates how to use a Python script to access OpenAI's API, extract text from JSON output, and clean it for use in applications. It explores using different prompts and adjusting token limits to get desired outputs. Finally, it covers converting the script into a serverless function using Azure Functions, allowing for API responses without needing a running computer.

What is the primary purpose of the Python script discussed in the first section?

• To create a new web application

• To design a user interface

• To access an API and retrieve a JSON response

• To compile a Python program

In the process of refining the output, what is the first step mentioned?

• Running the Python file

• Saving the script

• Accessing the first element of the JSON

• Printing the output text

What is one of the tasks performed to clean up the output text?

• Changing the programming language

• Removing double quotes and periods

• Increasing the number of API calls

• Adding more JSON elements

What is the main advantage of using Azure Functions as mentioned in the final section?

• It provides a graphical user interface

• It eliminates the need for a running computer

• It increases the security of the application

• It allows for faster API responses

Which applications are mentioned as being able to access the serverless function?

• Google Docs, Sheets, and Slides

• Microsoft Word, Excel, and PowerPoint

• Power Apps, Power Automate, Bubble, and Airtable

• Slack, Zoom, and Microsoft Teams