Whisper: added support for custom models #221
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Himujjal
commented
Oct 12, 2024
Himujjal
commented
- Model Configuration:
- The variable model now defaults to "whisper-1", but it can be overridden via W.config.model. This allows for flexible model selection in the configuration.
- Whisper API Key Management:
- The secret used for the Whisper API is fetched from the configuration (W.config.secret) or from a vault (vault.get_secret("openai_api_key")). This supports dynamic API key management.
- Audio Processing Commands:
- Commands for audio processing using sox remain largely the same but depend on values in the config (W.config.silence, W.config.tempo), providing additional flexibility for audio file normalization and silence removal.
- Transcription API Call:
- The API call is made using a curl command, which now supports passing different models via a configurable parameter (model).
- An authorization header is conditionally added if an API key is provided.
- Added support for non-openai compatible whisper servers - Tested extensively with groq
…ings - Solves the issue for people trying to find configs in the internet for the right config - Users in the future can add their gp.nvim configs according to the models they use - Added groq config. Groq has one of the fastest APIs for LLMs out there and the experience is seamless due to the speed
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I want to use also the Groq models, is this pull request going to be merged on GP ? |
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@Thanatermesis You can use Himujjal/gp.nvim at the moment till this PR is merged. It has the plugin stuffs |
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Thank you. Yeah that's an option , but if it is going to be merged soon I prefer to use the default / official version which will be more updated on the project next features, is there any ETA for the merge @Robitx ? |
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