ChatGPT Voice-Powered Chatbot Build with React and FastAPI - Convert Voice to Text with Whisper

This video tutorial guides viewers through setting up a Python script to interact with OpenAI's API, specifically focusing on converting audio to text using the Whisper API. It covers creating a new file for OpenAI requests, importing necessary libraries, and configuring environment variables. The tutorial also includes testing the function, handling errors, and exploring OpenAI's documentation for further learning. Additionally, it addresses common troubleshooting steps and discusses billing setup for using OpenAI services.

What is the first step to create a new file for Open AI requests?

How do you import the Open AI library in your Python script?

What is the purpose of the 'config' module in this context?

Describe the process of converting audio to text using Open AI's Whisper API.

What is the significance of the Open AI documentation in this process?

Explain the difference between GET and POST requests in the context of this application.

What should you do if the transcription does not work as expected?

What are the potential reasons for the transcription process to fail?

What steps should you take if you encounter an error during the transcription process?

How can you ensure that your audio file is compatible with the transcription process?