Azzedde/paper_to_podcast
A very quick project that transforms research papers into engaging three-person discussions, offering an intuitive and thought-provoking listening experience. Perfect for podcast enthusiasts seeking a fresh way to explore academic content.
Uses a multi-chain LLM approach—planning, retrieval-augmented generation, and enhancement stages—to convert PDF research papers into coherent multi-speaker scripts, then synthesizes them into audio via OpenAI's Text-to-Speech API. The three-persona framework (Host, Learner, Expert) simulates natural dialogue while maintaining fidelity to source content. Achieves cost-effective generation (~$0.16 per 9-minute podcast) and includes roadmap support for local LLM and TTS alternatives via Ollama.
607 stars. No commits in the last 6 months.
Stars
607
Forks
75
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 09, 2024
Commits (30d)
0
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