Switching to Groq Whisper Large V3 for Cost-Effective and Faster Transcriptions #57
-
|
Hello everyone, I've been using the amazing Whisper Writer app, which leverages OpenAI's Whisper model for speech-to-text transcription. Recently, I explored using Groq's Whisper Large V3 API instead, due to its significantly lower costs and higher speed. Reasons for Switching:
Issues Encountered: Reference: Has anyone managed to configure Whisper Writer to use Groq's API effectively? Any insights or guidance would be greatly appreciated! Thanks in advance! |
Beta Was this translation helpful? Give feedback.
Replies: 1 comment 6 replies
-
|
I managed to do this with the following model_options:
api:
base_url: https://api.groq.com/openai/v1
model: whisper-large-v3For some reason, my api_key is saved in a .env file instead of inside yaml file, but probably doesn't matter |
Beta Was this translation helpful? Give feedback.


That is really wired, this is what i saw
I simply just git pull the latest code