yt-semantic-search
generate-subtitles
yt-semantic-search | generate-subtitles | |
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6 | 32 | |
508 | 671 | |
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3.2 | 0.0 | |
about 1 year ago | about 1 year ago | |
TypeScript | JavaScript | |
MIT License | - |
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yt-semantic-search
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Dev LLM stack, production LLM stack, example projects, & things you'll discover
The dev LLM stack
- OpenAI + Pinecone + GPT-Index or Langchain
- Perhaps also dust.tt for playing around with prompts, kinda like a more advanced gpt playground --
The production LLM stack
- The dev stack
- OpenAI + Pinecone + GPT-Index or Langchain
- arXiv for finding new research to build on
- Prompt platforms such as Humanloop
- ML frameworks such as PyTorch, Keras, Tensorflow
- MLOps tools such as MLflow, Kubeflow, Metaflow, Airflow, Seldon Core, TFServing
Example OpenAI Projects
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What OpenAI/MSFT should do
- Fund "AI white mirror" -- a tv show that has beautiful visions a future where intelligence costs ~0
Things you'll probably discover
- Embeddings work ok, but not great, from a user perspective. As a developer they're great to work with. As a user, the results aren't ranked quite right. Embeddings use cases will be better with GPT-4 or GPT-4.5.
- All of the obvious gpt apps will be built. We'll get hundreds of basic gpt wrapper apps (and some of them will be big businesses!), hundreds of basic embeddings search apps. If someone can think of the idea and make it without needing specific relationships, credibility, or experience, then it'll probably exist by Summer 2023.
- The developer energy in this space is intense. Adults are going to hackathons to build ai apps. This is awesome.
- Devs using gpt will soon be a large enough market that startups will exist and succeed just by selling to developers that are using gpt-3 in production. We already saw it a little bit, but we'll get many more startups here.
- How could AI not be better than me at all computer based things within 10 years?
- AI is kinda like a kid. When they're young, they're not that smart. Then all of a sudden, they've gotten enough training data, and their brain (compute!) has grown, and they're doing useful stuff. This is related to why people will say that building models can feel frustrating because it doesn't work well for ages and then all of a sudden it works (CEO of Oasis said this, CTO of OpenAI said this, and Instagram co-founder said this).
Would love input and feedback on this. I have similar things that I'm going to submit, covering what builders and engineers should do, what vector database to use, why no one else made ChatGPT before OpenAI, things holding ai powered apps back, and some other stuff like that. If you want a preview and are happy to give feedback, then email is in my profile.
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Show HN: Semantic Search for Any Video
Are you using whisper for transcription?
For https://github.com/transitive-bullshit/yt-semantic-search, I'm using YouTube's built-in transcriptions which definitely aren't as high quality, but they work well enough to power the semantic search.
- Show HN: OpenAI-powered semantic search for the All-In Podcast
- OpenAI-powered semantic search for the All-In Podcast
generate-subtitles
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Is there any plug in that creates subtitle file out of video files?
They generate .SRT files, and you can view their repository there.
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How can I get automated subtitles from music track in AE?
I use this script to generate text layers based on the srt file I got by using this website.
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Any Free Audio to Text Converter?
I do a lot of transcriptions in my job, most of the websites suggested in other comments requiere an account and payments, https://freesubtitles.ai is free and you don’t need an account, you could pay to get premium services but it’s not mandatory
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Need recommendations for translating audio to text to subtitles
The translation part most likely won't work out all that well, but for JAV (˵ ͡° ͜ʖ ͡°˵) I've used https://freesubtitles.ai/ to get the original audio in subtitle format and then used DeepL to get it translated to English. DeepL doesn't support Hebrew though, but I also tried the AWS' whateveritwascalled and it was okay-ish, maybe check out if they support it.
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From yesterday
You can download the audio and then get a transcript/subtitles with freesubtitles.ai
- Software I could insert a video file into and have it translate all the on-screen text
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Generate subtitles for content with a free app
Hey guys I am the developer of https://freesubtitles.ai, I am really satisfied with the quality of the transcriptions now and wanted to share it around a bit, you can use it to transcribe content from over 100 different languages and automatically translate it to over 100 different languages for free. I have been using it to watch movies in foreign languages and it works pretty well, hope it can serve as an alternative to trying to find already made subtitles online, cheers!
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r/deaf Bi-weekly Research / Promoted Content / Writing Questions Thread!
I just finished my free transcription app and wanted to share it around a bit. You can use it to transcribe content in over 100 languages and have it translated to over 100 languages all for free. Hope this can be useful in some way, cheers! https://freesubtitles.ai
- Free transcription app that supports over 100 languages
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Wednesday General Discussion Thread - April 12th, 2023
Whisper AI is a game changer as far as transcribing lyrics don’t know if genius is up on it /u/grinchnight14. https://freesubtitles.ai/ for free without needing to do any coding
What are some alternatives?
openai-cookbook - Examples and guides for using the OpenAI API
whisper-asr-webservice - OpenAI Whisper ASR Webservice API
semantic-search-nextjs-pinecone-langchain-chatgpt - Embeds text files into vectors, stores them on Pinecone, and enables semantic search using GPT3 and Langchain in a Next.js UI
codesearch - Semantic Code Search tool. Query your codebases using natural language
whisper.cpp - Port of OpenAI's Whisper model in C/C++
client-vector-search - A client side vector search library that can embed, store, search, and cache vectors. Works on the browser and node. It outperforms OpenAI's text-embedding-ada-002 and is way faster than Pinecone and other VectorDBs.
pyannote-audio - Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
youtube-summarized-browser-extension - YouTube Summarized - Browser extension for summarizing YouTube videos using GPT3 🎥
frogbase - Transform audio-visual content into navigable knowledge.
subtitleedit - the subtitle editor :)
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)