top | item 43271675 (no title) smy20011 | 1 year ago I use tailscale to build my personal podcast that include local weather and stocks I interested in. Running the whole pipeline on a steamdeck and use tailscale to securely delivery the generated podcast to my phone. discuss order hn newest yjftsjthsd-h|1 year ago How are you going from weather and stock information to a podcast? Is there some sort of TTS step there? smy20011|1 year ago Yeah, fully local LLM+TTS setup.Use jupyter notebook to fetch the stock and weather info and feed that into a local LLM and convert that to speech using opensource TTS.https://github.com/smy20011/MorningRadio frotaur|1 year ago See notebookLM, as an example necessary|1 year ago What is the delivery mechanism? smy20011|1 year ago Local server.https://github.com/smy20011/MorningRadio
yjftsjthsd-h|1 year ago How are you going from weather and stock information to a podcast? Is there some sort of TTS step there? smy20011|1 year ago Yeah, fully local LLM+TTS setup.Use jupyter notebook to fetch the stock and weather info and feed that into a local LLM and convert that to speech using opensource TTS.https://github.com/smy20011/MorningRadio frotaur|1 year ago See notebookLM, as an example
smy20011|1 year ago Yeah, fully local LLM+TTS setup.Use jupyter notebook to fetch the stock and weather info and feed that into a local LLM and convert that to speech using opensource TTS.https://github.com/smy20011/MorningRadio
necessary|1 year ago What is the delivery mechanism? smy20011|1 year ago Local server.https://github.com/smy20011/MorningRadio
yjftsjthsd-h|1 year ago
smy20011|1 year ago
Use jupyter notebook to fetch the stock and weather info and feed that into a local LLM and convert that to speech using opensource TTS.
https://github.com/smy20011/MorningRadio
frotaur|1 year ago
necessary|1 year ago
smy20011|1 year ago
https://github.com/smy20011/MorningRadio