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d50e0711c2
Remove the optional skill (redundant now that NeuTTS is a built-in TTS provider). Replace neutts_cli dependency with a standalone synthesis helper (tools/neutts_synth.py) that calls the neutts Python API directly in a subprocess. Add TTS provider selection to hermes setup: - 'hermes setup' now prompts for TTS provider after model selection - 'hermes setup tts' available as standalone section - Selecting NeuTTS checks for deps and offers to install: espeak-ng (system) + neutts[all] (pip) - ElevenLabs/OpenAI selections prompt for API keys - Tool status display shows NeuTTS install state Changes: - Remove optional-skills/mlops/models/neutts/ (skill + CLI scaffold) - Add tools/neutts_synth.py (standalone synthesis subprocess helper) - Move jo.wav/jo.txt to tools/neutts_samples/ (bundled default voice) - Refactor _generate_neutts() — uses neutts API via subprocess, no neutts_cli dependency, config-driven ref_audio/ref_text/model/device - Add TTS setup to hermes_cli/setup.py (SETUP_SECTIONS, tool status) - Update config.py defaults (ref_audio, ref_text, model, device)
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So I just tried Neuphonic and I’m genuinely impressed. It's super responsive, it sounds clean, supports voice cloning, and the agent feature is fun to play with too. Highly recommend it for podcasts, conversations, or even just messing around with voiceovers.
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