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niph - needle in podcast haystack

Tools for searching and text mining transcribed podcasts

ALL HAIL ANDREJ KARPATHY!

GLORY TO OpenAI WHISPER!

Long live Lex Fridman and his podcast!

Because of their effort it gets easier and faster to search and analyze transcribed podcasts.

This project is aiming to provide utils for searching transcribed podcast sites like Karpathy's Lex Fridman Podcast transcriptions

Supported podcasts:

  • LexFridmanPodcastRetriever for searching Lex Fridman AI Podcast based on Karpathy's transcription (also see clips, although we do not support them yet)

Usage

from niph import podcast_retrievers
retriever = podcast_retrievers.LexFridmanPodcastRetriever()

results = retriever.retrieve("search engines", max_results=2)

Returns results that rendered in HTML look something like this

episode text timestamp_link distance
0 David Ferrucci: IBM Watson, Jeopardy & Deep Conversations with AI | Lex Fridman Podcast #44 using open source search engines, https://karpathy.ai/lexicap/0044-large.html#01:14:12.700 20.075276
1 David Ferrucci: IBM Watson, Jeopardy & Deep Conversations with AI | Lex Fridman Podcast #44 and modified those search engines, https://karpathy.ai/lexicap/0044-large.html#01:14:22.540 20.075276
2 Rajat Monga: TensorFlow | Lex Fridman Podcast #22 and many other search engines across the world. https://karpathy.ai/lexicap/0022-large.html#01:05:57.500 17.332366
3 David Ferrucci: IBM Watson, Jeopardy & Deep Conversations with AI | Lex Fridman Podcast #44 but we had a number of different search engines https://karpathy.ai/lexicap/0044-large.html#01:14:16.100 17.332366
4 Brendan Eich: JavaScript, Firefox, Mozilla, and Brave | Lex Fridman Podcast #160 This is why a lot of the search engines https://karpathy.ai/lexicap/0160-large.html#01:59:59.780 17.332366

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