How to Use OpenAI Whisper to Fix YouTube Search
OpenAI's Whisper is a new open-source, state-of-the-art speech-to-text. This project will use Open AI Whisper to make YouTube search amazing.
Search on YouTube is good but has its limitations. With trillions of hours of content, there should be an answer to almost every question. Yet, if we have a specific question like "what is OpenAI's CLIP?" — we're served dozens of 20+ minute videos.
What if all we want is a short 20-second explanation? The current YouTube search has no solution for this. Maybe there's a good reason to encourage users to watch as much of a video as possible (more ads, a…
Watch on YouTube ↗
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Chapters (11)
OpenAI's Whisper
1:48
Idea Behind Better Search
6:56
Downloading Audio for Whisper
8:22
Download YouTube Videos with Python
16:52
Speech-to-Text with OpenAI Whisper
20:54
Hugging Face Datasets and Preprocessing
26:48
Using a Sentence Transformer
27:45
Initializing a Vector Database
28:45
Build Embeddings and Vector Index
31:35
Asking Questions
34:08
Hugging Face Ask YouTube App
Playlist
Playlist UUv83tO5cePwHMt1952IVVHw · James Briggs · 0 of 60
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Angular App Setup With Material - Stoic Q&A #5
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Why are there so many Tokenization methods in HF Transformers?
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IndexLSH for Fast Similarity Search in Faiss
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Faiss - Vector Compression with PQ and IVFPQ (in Python)
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Product Quantization for Vector Similarity Search (+ Python)
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