Add GGUF TTS audio generation via llama-server. When a GGUF model loads, the backend probes its vocabulary to detect audio codecs (SNAC/BiCodec/DAC/CSM/Whisper). If detected, the codec is pre-loaded and the model is reported as audio to the frontend. During chat, TTS models route to the audio generation path which sends a per-codec prompt to llama-server's /completion endpoint, extracts generated tokens/text, and decodes to WAV using AudioCodecManager. Also strips base64 audio data from prior assistant messages to prevent context overflow. Co-authored-by: Manan Shah <mananshah511@gmail.com> |
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| data_recipe | ||
| export | ||
| inference | ||
| training | ||
| __init__.py | ||