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1.44 kB
| title: Kokoro TTS | |
| emoji: 🗣️ | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 6.6.0 | |
| app_file: app.py | |
| pinned: false | |
| python_version: "3.11" | |
| # Kokoro TTS (and optional LFM3 for comparison) | |
| Kokoro-82M answers on `/` (Gradio) and `POST /tts/stream` (raw PCM16 mono, streamed). | |
| ## Optional second engine: LFM3-Audio-2B | |
| Off by default. To compare it with Kokoro in the same Space, set the Space variable | |
| `LFM3_ENABLED=1`. It adds routes with the same contract under `/lfm3/tts`: | |
| - `POST /lfm3/tts/stream`: `{"text", "voice": "female" | "male" | "af_heart"-style, "sample_rate": 16000 | 24000}`; | |
| `speed` is ignored (LFM3 has no speed control). | |
| - `POST /lfm3/tts/bench`: seconds spent synthesizing vs seconds of audio, per piece. | |
| The first call loads the model, so read the second. | |
| - `GET /lfm3/tts/health`. | |
| The ~8 GB model (float32 on CPU) loads on the first LFM3 request, not at start-up, so Kokoro | |
| is unaffected until then. LFM3 and Kokoro share the 2 vCPUs: benchmark them one at a time. | |
| `TTS_API_KEY`, when set, protects both engines' POST routes. | |
| To make the tutor use LFM3, point `KOKORO_HF_SPACE_URL` at `https://<space>.hf.space/lfm3` | |
| (the client appends `/tts/stream`). Compare both with | |
| `python -m scripts.compare_tts_spaces --space kokoro=https://<space>.hf.space --space lfm3=https://<space>.hf.space/lfm3`. | |
| License of the model: LFM Open License v1.0 (commercial use only below US$10M annual revenue). | |