Using #whisper & #fastapi: Unlocking Multilingual Transcription with #whisper
This video is part of a post “Unlocking Speech-to-Text: Harnessing the Power of the OpenAI Whisper API with FastAPI Integration.”
This file “011_faster_whisper.py” enables quick experiments with FASTER-WHISPER
– URLs
+ POST: https://wp.me/p3Vuhl-3gJ
+ CODE: https://bit.ly/3LXogRa
– QUICK DESCRIPTION
OBJECTIVE: How to use OpenAI Whisper to explore audio (mp3) + a POC using Whisper into an API made with FastAPI.
OUPUT: Numerous examples from in different languages. Part of global exploration of IA usages
UDIENCE: Anyone who, produce audio and want to use OpenAI Whisper daily or through an API with FastAPI
– TEK GUIDELINES
Whisper :: https://github.com/openai/whisper
Faster Whisper :: https://github.com/guillaumekln/faster-whisper
Tag(s) : AI, artificial intelligence, Audio, Automate, Automation, Automatization, Development, FastAPI, Learning, Learning-by-doing, Machine Learning, P.O, PO, POC, RFI, Whisper
Categorie(s) : Agile, Anaconda, Development, Tutorials, Videos