Can call /api/openai-voicemap with
curl -X PUT "http://localhost:7851/api/openai-voicemap" -H "Content-Type: application/json" -d "{\"alloy\":\"female_01.wav\",\"echo\":\"female_01.wav\",\"fable\":\"female_01.wav\",\"nova\":\"female_01.wav\",\"onyx\":\"male_01.wav\",\"shimmer\":\"male_02.wav\"}"
Caveats:
- You have to update all the voices in one go, not just one voice.
- Its up to you to ensure you have the correct voices for the TTS engine that's loaded in which you can find currently available on /api/voices
- The in-memory mappings will update, but Gradio will have cached what was originally in the settings, so it wont display the changes in the Gradio interface without a restart of AllTalk/Gradio
This is a work in progress. There are issues to address:
- RVC does not work yet.
- There is a stutter on the 1st TTS generation.
- Transcoding damages the file in some way (seems to be a colab specific issue)
- First model selection and other configuration settings may need to be pre-set.
- Long TTS generations can timeout in Gradio interface, hence should be run on at least a T4 runtime.
Github is doing something very strange here and shows my file being uploaded 2x, even though I double checked I had selected only the 1x file. Hopefully this doesnt break things
Updated the numbering of generated wav's so they match within the CSV files.
Added a dataset validation option to compare the Whisper generated wav files vs the transcribed text in the CSV files. This is purely to point you in the direction of data that may need changing/editing within your training dataset.
IIEleven11