EniasCailliau

9 ms·

1. 31.▲
   Show HN: Joe Rogan Podcasts Analyzed via AssemblyAI, HuggingFace, and Steamship(steamship-packages.github.io)

   1 points by EniasCailliau 4y ago|1 comments
2. 32.▲
   by EniasCailliau 4y ago

   Thanks! Looks like an alternative would be to create a webpage that includes the streamlit app in an iframe.
3. 33.▲
   Ask HN: How to share a public Streamlit cloud app on HN

   1 points by EniasCailliau 4y ago|2 comments
4. 34.▲
   by EniasCailliau 4y ago

   Thanks for flagging! Looks like Hacker News does not allow me to post streamlit url's
5. 35.▲
   Joe Rogan's Podcasts Analyzed via AssemblyAI, HuggingFace, and Steamship(share.streamlit.io)

   1 points by EniasCailliau 4y ago|3 comments
6. 36.▲
   by EniasCailliau 4y ago

   Stack: * Transcription: AssemblyAI * Language AI: OneAI, AssemblyAI, and Huggingface * Database: Steamship * Deployment: Steamship * UI: Streamlit
7. 37.▲
   by EniasCailliau 4y ago

   Time for YT to up their caption game.
8. 38.▲
   by EniasCailliau 4y ago

   Good idea!
9. 39.▲
   by EniasCailliau 4y ago

   That's probably true. I guess we have to start somewhere. I do agree with thimm I often reference a podcast but forgot which one. Being able to query the exact time a topic is discussed in a podcast does sound valuable. Do you know of
10. 40.▲
    by EniasCailliau 4y ago

    Appreciate the feedback. Whether or not a model’s summary represents the underlying text is absolutely something we all have to pay careful attention to as these things improve. One thing we’ve seen work well is systems that always link bac
11. 41.▲
    by EniasCailliau 4y ago

    Sorry you feel that way. Have you tried out the demo, it showcases how you can use our tech stack to index across the Joe Rogan podcasts. For us though it was a nice exercise to show we can support audio transcription and large data files.
12. 42.▲
    by EniasCailliau 4y ago

    Appreciate the comment. Are you referring to the summaries at the bottom of the blog post? Happy to hear more (here or on enias@steamship.com) — if we drew an inaccurate excerpt we should fix it.
13. 43.▲
    by EniasCailliau 4y ago

    Soon!
14. 44.▲
    by EniasCailliau 4y ago

    Steamship is happy to support a company looking to develop this!
15. 45.▲
    by EniasCailliau 4y ago

    We have a database engine layer that can wrap around multiple databases. Today though we're mainly using SQL since it's so fast with the right indexing. Soon though we're planning to support search using embeddings too. We&#x
16. 46.▲
    by EniasCailliau 4y ago

    Me neither. Not planning on spending a year listening to just 1 podcast. :) Re: quality - Entity extraction is super reliable given proper transcriptions. Summaries are having a hard time though. Some of them give random names to the guests
17. 47.▲
    by EniasCailliau 4y ago

    Thanks! Happy you liked it! Theoretically works with any audio/video stream.
18. 48.▲
    by EniasCailliau 4y ago

    I know. And it seems like every influencer out there is starting their own podcast these days. Information overload. Tv series is a good idea! What insights would you extract from them? I can already see myself analysing the mood in shark t
19. 49.▲
    I’m consuming 5500 hours of Joe Rogan with the help of AI(medium.com)

    26 points by EniasCailliau 4y ago|37 comments