* add gpt2-medium config
* setup turbo-specific hp
* whitespace
* t3 constructor logic
* update gpt2 config values
* fix t3 constructor
* t3 safetensor loading correctly
* everything loading ok
* update from_pretrained method
* inference working
* new inference_turbo method
* avoid tokenizer missing pad error
* connect sampling params to .generate
* add min_p to unused warning
* inference with s3gen distilled
* change to distilled model in from_local
* norm loudness - relax punc norm
* add gradio app
* add silence to end of output wav
* add events to gradio app
* change default text
* new dependencies
* move advanced options to the righthand side of gradio app
* remove russian-text-stresser and bump version
* update readme
* update readme
* resize headings
* links to sections
* typo
* update space link
* chessy emojiis (might remove these later)
* change to single emojii
* remove most emojiis
* Update README.md with new image
* Update README.md remove extra char
* add dedicated turbo example script
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Co-authored-by: Zohaib Ahmed <zohaib@resemble.ai>
* Add multilingual support
* Update model card and README
* Update examples and README
* Remove EOS supression
* Keep EOS supression for longer text
* Update README.md
* Update README.md
* modify tokenizers, set alignment analyzer default to none
* minor fixes, strict forcing EOS
* Update model repo
This commit enables the use of min_p sampler, as well as giving the gradio app sliders to configure top_p, min_p and repetition_penalty
Changed the defaults to min_p=0.05, rep_pen=1.2, top_p=1.0
min_p=0.00 - disables
top_p=1.00 - disables
* update installation for editable mode
* deps: rm resampy; more flexable numpy
* rm aas from inference
* mv AttrDict our from t3 to models.utils
* replace omegaconfi with AttriDict in S3Gen
* rm omegaconf from deps; re-lint flow.py
* update README
* add OS
* add version