TODO

FastAPI
- Generate:
  - other params? (temperature, rvc f0_method, min_eos_p)
Bark TTS
- Set speech sentiment in request body, then prefix each sentence e.g. [Happy]<input_text>
- Should I aim to combine sentences which will fit in the largest clip length? (14s?)
  - More consistent tone etc in bark output?
- Should map the rvc model to a chosen bark voice (incl. default)?
  - Or set via request body?
  - Currently hardcoded for bark voice v2/en_speaker_9 (works well with all tested RVC models, regardless of gender etc)
RVC
- Should I re-use the Config details? (GPU info etc)
  - Set CUDA_VISIBLE_DEVICES for bark
- Should I load hubert model for each request? Precious VRAM
Smaller container image
- Currently used to confirm app dependencies only, don't care that it's 6 GiB

Issues

Splits on sentences. So a single sentence which takes longer than ~14 seconds will be a mess
Significantly slower bark generation when ran via API vs directly in python script
- Generation time roughly equals audio length (tested on 3090)