podcast-generation

Convert text into audio narratives using Azure OpenAI's GPT Realtime Mini model.

2|Updated Jan 23, 2026

Search Tags:#text-to-speech #podcast #Azure OpenAI #AI audio #GPT Realtime Mini

Ready to run

npx skills add https://github.com/yunmoxinghe/Docked-AI --skill podcast-generation-yunmoxinghe

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: podcast-generation
Source: https://github.com/yunmoxinghe/Docked-AI/tree/main/.kiro/skills/podcast-generation
Command: npx skills add https://github.com/yunmoxinghe/Docked-AI --skill podcast-generation-yunmoxinghe

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openai, websocket, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the need for efficient text-to-speech and AI-powered podcast content generation.

Core Features & Use Cases

AI-Powered Audio Generation: Generate speech from text using Azure OpenAI's GPT Realtime Mini model.
Full-Stack Implementation: Covers everything from React frontend to Python FastAPI backend.
WebSocket Streaming: Real-time interaction for audio generation and playback.

Quick Start

Use the podcast-generation skill to generate an audio narrative from the text: "The impact of technology on modern life".

Frequently Asked Questions about podcast-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I convert text content into AI audio narratives using Azure OpenAI?▼

You can convert text content into AI audio narratives using Azure OpenAI's GPT Realtime Mini model. This skill provides a full-stack implementation spanning a React frontend and Python FastAPI backend to process text and generate speech output.

How does WebSocket streaming work for real-time text-to-speech generation?▼

WebSocket streaming enables real-time interaction for text-to-speech generation by maintaining a persistent connection between the React frontend and Python FastAPI backend. This allows audio playback to begin instantly as the GPT Realtime Mini model processes input text.

Can I use Python FastAPI with Azure OpenAI for AI podcast generation?▼

Yes, you can use Python FastAPI with Azure OpenAI for AI podcast generation. The skill implements a FastAPI backend that interfaces directly with the GPT Realtime Mini model to handle text-to-speech conversion requests.

What is the best way to build a full-stack text-to-speech application with React and FastAPI?▼

The best way to build a full-stack text-to-speech application is using a React frontend paired with a Python FastAPI backend. This skill provides that exact architecture, leveraging WebSocket streaming to deliver real-time audio generated by Azure OpenAI.

Do I need Azure OpenAI access to generate AI-powered podcast audio?▼

Yes, you need Azure OpenAI access to generate AI-powered podcast audio with this skill. It specifically utilizes the GPT Realtime Mini model deployed via Azure OpenAI to perform the text-to-speech conversion.

Why use GPT Realtime Mini for AI audio generation over standard text-to-speech APIs?▼

GPT Realtime Mini provides AI audio generation with real-time streaming capabilities via WebSocket. This approach supports interactive audio narratives and dynamic podcast content generation directly from text inputs through Azure OpenAI infrastructure.