| # Deploy | |
| Create a new Hugging Face Space with SDK `gradio`, then upload this folder: | |
| ```bash | |
| huggingface-cli repo create visualears-fastconformer-fa-webgpu --type space --space_sdk gradio | |
| git clone https://huggingface.co/spaces/Reza2kn/visualears-fastconformer-fa-webgpu | |
| rsync -av --delete visualears-webgpu-space/ visualears-fastconformer-fa-webgpu/ | |
| cd visualears-fastconformer-fa-webgpu | |
| git add . | |
| git commit -m "Add VisualEars WebGPU ASR demo" | |
| git push | |
| ``` | |
| The app downloads the ONNX model from: | |
| `Reza2kn/visualears-fastconformer-fa-full-ab-onnx-fp16` | |
| The first browser load fetches about 461 MB. The browser should cache later loads. | |