This workflow automates the process of fetching top podcasts from a chosen genre, downloading their audio, cropping the audio segments, transcribing the spoken content using OpenAI’s Whisper, and generating concise summaries. It culminates in an email report sent via Gmail, providing a quick overview of the top podcast episodes in a specified genre. The workflow is scheduled to run at a set time each day, making it ideal for podcast enthusiasts, content creators, or marketers who want to stay updated on trending episodes without manual effort.
The process begins with a schedule trigger, initiating the workflow at a designated time. It then fetches a list of top podcasts from the Taddy API based on the selected genre, here set to ‘Technology’. The workflow downloads the audio for each episode, crops the segment to a manageable length suitable for transcription, and then uses OpenAI’s Whisper API to transcribe the audio. Subsequently, GPT-4 generates a brief summary of the episode’s key points. Finally, the summarized data is compiled into an HTML email, formatted as a table, and sent to the specified Gmail account.
This automated process is especially useful for individuals or teams who want to stay informed about trending podcasts, conduct content curation, or generate summaries for sharing or blogging purposes.
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