How to Summarize a Podcast with ChatGPT API + Whisper

Podcasts have become an essential medium for acquiring knowledge, staying informed, and being entertained.

However, with busy schedules and an ever-growing list of episodes to catch up on, it’s challenging to keep up with your favorite shows. Imagine having a powerful tool at your fingertips that could transcribe, summarize content, and narrate podcasts in a matter of minutes.

In this comprehensive guide, we’ll walk you through the process of creating a tool that harnesses the power of these cutting-edge APIs to bring you high-quality podcast summaries.

By following our step-by-step instructions, you’ll soon be able to enjoy your favorite content more efficiently, saving you valuable time and revolutionizing your podcast listening experience.

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How to create a Podcast summary with the ChatGPT API

Imagine a world where you can quickly and easily generate high-quality summaries of your favorite podcasts. This in-depth, step-by-step guide will teach you how to create a tool that combines the power of OpenAI’s ChatGPT API, Whisper API, and Eleven Labs API to transcribe, summarize, and narrate podcasts. Get ready to save time and enjoy your favorite content in a whole new way!

Step 1: Prepare the Required Libraries and API Keys

Begin by gathering the necessary libraries and modules. You’ll also need API keys for OpenAI, Eleven Labs, and ChatGPT. Make sure to include these keys in your Python script.

Step 2: Set Up the File Structure

Create a file named “URL.txt” to store the podcast or video URL. This file will be used later to input the content you’d like to transcribe and summarize.

Step 3: Transcribe the Podcast with OpenAI’s Whisper API

Use the Whisper API to transcribe the podcast or video into text. Since the Whisper API has a file size limit, divide the content into 10-minute segments and convert them into MP3 files using a custom Python script.

Step 4: Summarize the Transcript with ChatGPT API

Once you have the full transcript, use the ChatGPT API to generate a summary. To ensure the best results, use TextWrap to break the transcript into smaller chunks and process each one separately.

Step 5: Create a Narrated Voice Summary with Eleven Labs API

Use the Eleven Labs API to generate a voice-narrated MP3 file of the text summary created with the ChatGPT API.

Step 6: Run the Python Script

With everything set up, run the Python script. It may take a few minutes to process the content, depending on the length of the podcast and the number of segments created.

Step 7: Review the Results

After the script has finished running, you’ll have a complete transcript, a set of notes, a summary of notes, and a synthesized voice summary of the podcast. Review these files to ensure the accuracy and quality of the results.

By combining the power of the ChatGPT API, Whisper API, and Eleven Labs API, you can create an efficient and accurate way to summarize podcasts. This tool is perfect for users who want to quickly digest content or curate a library of summaries for future reference. Follow this guide and unlock the potential of these powerful APIs to enhance your podcast listening experience.

What is OpenAI`s Whisper API?

OpenAI’s Whisper API is an amazing tool that turns spoken words into text. It’s an Automatic Speech Recognition (ASR) system called Whisper, which has been trained on a huge amount of data from the internet – 680,000 hours, to be exact. This helps it handle different accents, background noise, and technical terms really well.

Whisper can not only transcribe speech in many languages but also translate those transcriptions into English. The API, which was released in September 2022, has become popular among developers. The large-v2 model is available through the API at an affordable price of $0.006 per minute. Plus, its optimized serving stack makes it faster than other similar services.

The Whisper API works with both transcriptions (transcribing in the original language) and translations (transcribing into English), and it supports a range of file formats like m4a, mp3, mp4, mpeg, mpga, wav, and webm. Overall, it’s a handy solution for converting spoken language into written text.

What is the Eleven Labs API?

In the realm of innovative voice technology, the Eleven Labs API emerges as a veritable tool for creative expression and seamless communication. A paradigm of artificial intelligence and machine learning mastery, Eleven Labs excels in crafting transformative audio experiences with its automatic dubbing, voice conversion, and speech synthesis wizardry.

The Eleven Labs API, featuring over 20 endpoints, offers unbridled access to the enchanting world of VoiceLab, where users can concoct custom voices and mold them into mellifluous text-to-speech audio. 

Eleven Labs’ prowess stems from its relentless pursuit of speech generation perfection. By immersing their AI in an ocean of human speech data, they have crafted a digital raconteur capable of capturing both the contextual intricacies and emotional undercurrents of spoken language, resulting in speech conversion that is as fluent as it is natural.

Furthermore, Eleven Labs is charting uncharted territory with its groundbreaking speech-to-speech translation technology.

With native-grade fluency, vocabulary, and speaker identity preservation, this tool transcends language barriers, transforming spoken content into a universally accessible medium.

Through their visionary efforts, Eleven Labs aspires to empower creators, captivate audiences, and elevate the art of storytelling across films, streaming, gaming, podcasts, audiobooks, and real-time conversations.

Podcast Summary Results

The Huberman Lab podcast episode on intermittent fasting was chosen to showcase the tool’s capabilities.

The podcast discussed the impact of circadian behaviors, particularly eating patterns, on our overall health, and delved into the advantages of intermittent fasting or time-restricted feeding.

By transcribing the podcast into text, generating notes, creating summaries, and finally, producing a narrated voice summary, the tool demonstrated a powerful way to digest the essence of podcast content efficiently.

First Person Summary from the Podcast Episode:

Hi there! I recently listened to an episode of The Huberman Lab Podcast featuring Dr. Sachin Panda, a professor and director of the Regulatory Biology Laboratory at the Salk Institute of Biological Studies. Dr. Panda’s laboratory has made significant contributions to mental health, physical health, and human performance, including the discovery of neurons in the eye and brain that regulate circadian rhythms.

In the podcast, they discuss how circadian behaviors, such as eating patterns, impact our biology, psychology, and overall health. They delve into the topic of intermittent fasting, also known as time-restricted feeding, and how it can benefit various aspects of health, including the health of the liver, gut, and brain. The discussion covers the basic science and recent clinical trials related to intermittent fasting in diverse groups of people.

Dr. Panda recommends a 16:8 fasting-to-feeding ratio, where one fasts for 16 hours and eats within an 8-hour window. He also discusses the importance of sleep and body temperature regulation for optimal sleep quality, and recommends the 8Sleep mattress cover for regulating sleep environment temperature.

The article discusses the concept of intermittent fasting and its various forms, including time-restricted feeding, alternate day fasting, and periodic fasting. It emphasizes that intermittent fasting has been tested on humans, and while it may not necessarily lead to longevity, it can improve overall health and well-being.

The text also discusses the importance of me time in the evening before bed and the impact of light on our sleep patterns and the challenges faced by shift workers. They propose a protocol that involves waking up early and going to bed within three hours of sunset to harness all other health-related protocols.

Overall, the podcast and article highlight the importance of understanding the science behind health claims and considering individual factors and experimenting with different feeding schedules to find what works best for each person. It’s fascinating to learn about the impact of circadian rhythms on our health and how we can optimize our eating and sleeping habits for optimal health and well-being.

Conclusion

As I reached the end of my journey in creating a podcast summarization tool, I couldn’t help but feel a sense of achievement and excitement. By leveraging the power of OpenAI’s ChatGPT API, Whisper API, and Eleven Labs API, I have crafted a cutting-edge solution that not only helps me stay up-to-date with my favorite shows but also saves me precious time.

No longer will I be overwhelmed by the ever-growing list of episodes waiting for my attention. Instead, I can now efficiently digest the content, even when I’m pressed for time, and easily curate a library of summaries for future reference.

With the Whisper API’s impressive transcription capabilities, the ChatGPT API’s knack for generating concise summaries, and the Eleven Labs API’s enchanting voice synthesis, I have unlocked a new realm of possibilities for my podcast listening experience.

The fusion of these powerful APIs has not only revolutionized the way I consume podcasts, but it has also left me inspired by the potential of artificial intelligence to reshape our daily lives.

As I continue exploring the world of AI, I am eager to see what other incredible tools and applications await discovery.

So, to my fellow podcast enthusiasts, I invite you to embark on this journey with me and experience the magic of technology transforming the way we listen, learn, and grow.