Podcast to X (Twitter) Pipeline with OpenAI Whisper, GPT-4o & Slack Approval

Description

Turn your favorite podcast episodes into engaging social media content automatically. This workflow fetches new episodes from an RSS feed, transcribes the audio using OpenAI Whisper, generates a concise summary using GPT-4o, and drafts a tweet. It then sends the draft to Slack for your review before posting it to X (Twitter).

Who is this for
Content creators, social media managers, and podcast enthusiasts who want to share insights without manually listening to and typing out every episode.

Key Features
Large File Support:** Includes a custom logic to download audio in chunks, ensuring stability even with long episodes (preventing timeouts).
Human-in-the-Loop:** Nothing gets posted without your approval. You can review the AI-generated draft in Slack before it goes live.
High-Quality AI:** Uses OpenAI's Whisper for accurate transcription and GPT-4o for intelligent summarization.

How it works
Monitor: Checks the Podcast RSS feed daily for new episodes.
Process: Downloads the audio (handling large files via chunking) and transcribes it.
Draft: AI summarizes the transcript into bullet points and formats it for X (Twitter).
Approve: Sends the draft to a Slack channel.
Publish: Once approved by you, it posts the tweet to your X account.

Requirements
OpenAI API Key
Slack Account & App (Bot Token)
X (Twitter) Developer Account (OAuth2)

Setup instructions
RSS Feed: The template defaults to "TED Talks Daily" for demonstration. Open the [Step 1] RSS node and replace the URL with your target podcast.
Connect Credentials: Set up your credentials for OpenAI, Slack, and X (Twitter) in the respective nodes.
Slack Channel: In the [Step 12] Slack node, select the Channel ID where you want to receive the approval request.