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Link the project website, hebrish.app

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@@ -28,6 +28,8 @@ configs:
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  English sentences about home automation: Home Assistant and its features (Assist, Wyoming, Piper), protocols (Zigbee, Z-Wave, Matter, Thread), firmware (ESPHome, Tasmota, WLED) and device brands. Includes names a speech model writes as an ordinary word (Matter, Thread, Hue, Nest).
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  These are **sentences to read aloud** for fine-tuning a speech-recognition model, not
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  recordings. They feed a targeted fine-tune of NVIDIA Parakeet TDT 0.6B v2
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  ([current model](https://huggingface.co/danielrosehill/Parakeet-TDT-0.6B-v2-English-Hebrew-Codeswitching)). A capture app shows these sentences one at a time to be read aloud; every take lands in [Read-Aloud-Voice-Sentences](https://huggingface.co/datasets/danielrosehill/Read-Aloud-Voice-Sentences) and is copied into the matching audio subset. The recordings of these sentences are in
 
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  English sentences about home automation: Home Assistant and its features (Assist, Wyoming, Piper), protocols (Zigbee, Z-Wave, Matter, Thread), firmware (ESPHome, Tasmota, WLED) and device brands. Includes names a speech model writes as an ordinary word (Matter, Thread, Hue, Nest).
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+ **Website: [hebrish.app](https://hebrish.app)**: get the Hebrish keyboard for Android and the desktop apps, see the results, and find every model, dataset and demo in one place.
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+
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  These are **sentences to read aloud** for fine-tuning a speech-recognition model, not
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  recordings. They feed a targeted fine-tune of NVIDIA Parakeet TDT 0.6B v2
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  ([current model](https://huggingface.co/danielrosehill/Parakeet-TDT-0.6B-v2-English-Hebrew-Codeswitching)). A capture app shows these sentences one at a time to be read aloud; every take lands in [Read-Aloud-Voice-Sentences](https://huggingface.co/datasets/danielrosehill/Read-Aloud-Voice-Sentences) and is copied into the matching audio subset. The recordings of these sentences are in