Quick intro

In this Google Colab notebook, we will demonstrate how to utilize Whisper AI and ChatGPT to streamline the process of transcribing and summarizing interviews. By leveraging the power of AI, we can take a recording of an interview and generate both a transcription and a summary in a single step. This efficient approach saves time and effort, allowing us to extract valuable insights from interviews with ease. (This introduction was also written by AI. AI made me lazy.)

Link to the colab notebook. Make a copy of it and feel free to use it.

How to run the notebook

Using something with just a code interface can be daunting for the first time. Don’t worry. This is dead simple and when in doubt. Chat GPT, Bard or other AI tools can easily help you understand whats going on. Just paste the code and the output and the AI will explain what’s going on and what to do.

Here are some things you will need to know when using this tool:

• You will need to upload your files to the notebook for the code to function. To do this, click the file button on the very left side of the menu, then click upload files or drag and drop your audio file into the window.
• Each block in the notebook should be run one by one from top down.
• You will need an Open AI API key. These are easy to get and free, just go to Open API’s website.

What to do if it doesn’t work?

1. Run the code again.
2. Paste the output of the code and the code to an AI model.
3. You can write to me on LinkedIn and I will try to help out 🙂