Today, we are happy to announce a feature that will be music to the ears of all podcasters and those generating audio content.
Introducing: CustomGPT From Podcasts
In this blog post, we’ll explore why creating a ChatGPT-4 chatbot indexed with your podcast episodes and feeds is not just a novel idea, but a strategic move that can offer numerous advantages.
With CustomGPT, you can now bring the power of podcasts and other audio content to your very own ChatGPT-4 chatbot.
And at CustomGPT, we have always been passionate about pushing the boundaries of AI and making information more accessible. We’re excited to announce an industry-first feature that combines the advanced conversational capabilities of OpenAI’s ChatGPT-4 with the power of podcasts.
Overall, building a chatbot with your podcast content allows you to leverage the unique characteristics of podcasts, such as rich content, conversational nature, and expert insights with a dynamic and versatile way to access information.
Let’s dive in and discover how this potent combination of AI and audio content can revolutionize the way your business communicates and operates.
Podcasts are an excellent source of rich and engaging content. They often feature in-depth discussions, expert insights, and entertaining narratives that can captivate and educate listeners. By uploading podcasts, you can enrich your chatbot with more comprehensive and specific information to your queries, enhancing the overall user experience. Many podcasts feature interviews with experts in various fields. By incorporating podcasts into the chatbot, you can access valuable insights and perspectives from industry leaders and subject matter experts.
In addition, chatbots excel at processing and understanding natural language. Podcasts typically involve conversational dialogue, making them an ideal source for training chatbots to engage in more natural and human-like conversations with the user.
Imagine if you could ask questions directly to your favorite podcast, and it could answer back immediately! By putting a chatbot on your website, it’s like giving your podcast a voice to chat with your listeners. It’s as if your podcast becomes a friend that they can talk to any time.
With the ChatGPT LLM chatbot, users can ask questions and receive responses directly from the words mentioned in the audio. This interaction could provide a more dynamic and engaging way to consume audio content, allowing users to quickly get the information they need without needing to listen to or search through the audio manually.
Podcasts are accessible to a global audience. By integrating podcasts into the chatbot, you can reach a broader content base for a more worldly chatbot. Overall, using podcasts in the chatbot offers a dynamic and versatile way for users to access information, fostering an engaging and inclusive learning experience.
The chatbot’s ability to answer queries in 92 different languages further enhances inclusivity and allows users from various linguistic backgrounds to benefit from the content.
By uploading a podcast feed, you can ensure that your chatbot remains up-to-date with the latest content. As new episodes are released or uploaded, the chatbot automatically indexes them, making them available for queries, and keeping the chatbot’s knowledge of the latest trends, news, and developments in various industries fresh and relevant.
Building a ChatGPT-4 chatbot integrated with your podcast audio content can allow you to leverage the unique characteristics of podcasts, such as rich content, conversational nature, and expert insights with a dynamic and versatile way to access information. Here’s a step-by-step guide on how you can achieve this:
The first step in this process is to curate a collection of the podcast episodes you want your chatbot to ingest. This could include multiple episodes individually or entire podcast feeds if you want to upload an entire show’s feed.
For example, for the purpose of this demo, I curated a mix of podcast episodes mixed and matched from different shows and a few podcast feeds.
Episodes: In order to index a list of single episodes, you must have the link to the audio file for the episode in audio format (ending in either ‘.mp3’, ‘.mp4’, ‘.mpeg’, ‘.mpga’, ‘.m4a’, ‘.wav’, and ‘.webm’.) – for example:
Feeds: In order to upload entire feeds, you must have the RSS feed URL for the podcast show. For example:
Once you have your collection of episodes and feeds, the next step is to create a sitemap. A sitemap is essentially a list of the URLs for each episode or feed that you want to be included in the chatbot’s knowledge base.
Whether you have episodes, feeds, or a collection of both, you can do this easily using the free sitemap-generating tools below. Just copy-paste your collection of URLs into the tool and it will give you a sitemap.
For episodes: Free sitemap generator for podcast episodes
Simply copy and paste your URLs in audio format (‘.mp3’, ‘.mp4’, ‘.mpeg’, ‘.mpga’, ‘.m4a’, ‘.wav’, and ‘.webm’) and generate a sitemap which can be used in CustomGPT.
For podcast feeds: Free sitemap generator for podcast feeds
With this free tool simply copy and paste the RSS feed URL from your podcast show into the tool and get a sitemap that you can put into CustomGPT.
The final step to making your very own chatbot equipped with all your favorite podcasts is putting it all together in CustomGPT using your sitemap(s). This is how CustomGPT knows what audio content to ingest and transcribe.
To do this, simply paste the URL of your generated sitemap into the sitemap tab in CustomGPT. There, you’ll find an option to input your sitemap. Follow the instructions provided to complete the integration and build your ChatGPT-4 chatbot with your podcast episodes and feeds.
Advanced Tip: CustomGPT now has multi-source data integration. So if you already have a CustomGPT chatbot, you can now add your new podcast audio content to that chatbot.
Once the sitemap is successfully processed, CustomGPT will begin the process of ingesting and transcribing the audio content from the URLs provided. This process is usually completed in a couple of minutes.
Once the indexing process is complete, your CustomGPT chatbot is now ready to provide insightful, accurate responses based on the content from your podcast episodes and feeds!
Remember, the power and effectiveness of your ChatGPT-4 chatbot are directly influenced by the quality of your podcast content. Happy building!
Since we are from Boston and I am huge fan of WBUR, we built a chatbot from the WBUR podcast feed using their RSS feed: https://rss.wbur.org/wbur — the entire process took less than 2 minutes.
Training your chatbot using podcasts can be an extremely rewarding feature due to the conversational, insightful, and unique characteristics of most podcasting content. With a chatbot trained using opinionated conversations, rich content, and expert insights, users can experience a more dynamic and versatile way to access information.
Another great thing about podcasts is how often they are released, providing listeners with the freshest, and latest information on trends, news, and developments in various industries. By uploading a podcast feed, your chatbot will self-refresh on the latest information as new episodes are released.
The chatbot’s ability to answer queries in 92 different languages ensures that users can engage with the content in their preferred language. It opens up opportunities for non-English speakers to access podcast information effectively.
You can customize your learning experience by choosing specific episodes from different shows or uploading your favorite show’s entire feed. This flexibility allows you to focus on content that aligns with your interests and learning goals.
The enhanced searchability feature of the chatbot enables users to locate information across a broad range of podcast content effortlessly. It saves time and effort by providing precise details without the need to manually listen to or search through episodes.
The platform supports various audio file formats, including ‘.mp3’, ‘.mp4’, ‘.mpeg’, ‘.mpga’, ‘.m4a’, ‘.wav’, and ‘.webm’. Users can upload podcast episodes in any of these formats.
If you don’t know where your podcast audio link is, here is a comprehensive guide to obtaining an mp3 URL from a podcast episode webpage.
RSS is a web feed that allows users to access updates to websites, like newly released podcast episodes, in a standardized, computer-readable format. Using this free tool, https://getrssfeed.com/, getting the RSS feed for a podcast show only requires the easily attainable web link for the show. The link to the show can be found by navigating to any site that contains your show (Apple Podcasts, Google Podcasts, etc.) and finding a link. This can usually be done by clicking the share button and usually, there will be an option for ‘copy link’. Once you have the link to the podcast show, simply copy and paste it into the free tool.
You can upload any and all kinds of podcasts. From 3 minutes to 3 hours, CustomGPT will index your podcast episodes and within minutes, your bot will be fully equipped with the knowledge from your podcasts.
Nope! Uploading podcast episodes and feeds requires no programming. It is a completely no-code platform.
With real-time deployment, once you upload the desired podcasts, the chatbot can be deployed within minutes. After your files have been uploaded, the ‘Pages’ tab in CustomGPT will show you the index status of your files. Depending on the size and number of episodes you choose to upload, the indexing time will likely be a few minutes.
To upload individual podcast episodes, your files must be in audio format. (‘.mp3’, ‘.mp4’, ‘.mpeg’, ‘.mpga’, ‘.m4a’, ‘.wav’, and ‘.webm’) You can upload podcast episodes in any of these formats. For feeds, all you need is an RSS feed, which you can find using this free tool.
OpenAI Whisper can understand audio in the following languages: Afrikaans, Arabic, Armenian, Azerbaijani, Belarusian, Bosnian, Bulgarian, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, German, Greek, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Kannada, Kazakh, Korean, Latvian, Lithuanian, Macedonian, Malay, Marathi, Maori, Nepali, Norwegian, Persian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swahili, Swedish, Tagalog, Tamil, Thai, Turkish, Ukrainian, Urdu, Vietnamese, and Welsh.
Once the content is transcribed and indexed, the chatbot is capable of answering queries in 92 different languages. This means you can upload podcasts in any of the above languages and also query the bot in any language, even if it is not the language of the audio.
Yes. You can make a chatbot using both episodes and feeds. You would have to upload your feeds separately from episodes because the process for uploading would be different depending on what kind of sitemap you use.
Podcasts are an incredibly dynamic, user-friendly, and potentially game-changing resource that leverages the vast and diverse content available wherever you get your podcasts, enhanced by the conversational abilities of ChatGPT-4.
Using Open AI’s automatic speech recognition (ASR) system called Whisper, trained on 680,000 hours of multilingual and multitask supervised data collected from the web, your chatbot can transcribe audio regardless of accents, background noise and technical language. Moreover, it enables transcription in multiple languages, as well as translation from those languages into English.
The chatbot ingests and transcribes the content of your podcast content. This transcription then serves as a knowledge base from which the chatbot can draw to provide accurate and contextually relevant responses.
The chatbot responds with information directly from the audio content, ensuring that answers to queries are relevant and correct.
You don’t need to. In fact, You can just point our system to the URL of the podcast audio. That is the preferred method and saves you the trouble of downloading and uploading.
Aha – in fact, yes! If your audio file is in one of the supported formats, you can actually use the Upload option and build your chatbot based on what is being said in the audio.
While this feature does say “podcasts”, it works with any audio file. So you can build chatbot with your Zoom meeting audio or that song you sang (woohoo!)