Here, we provide two examples of how to run Whisper using a Candle-compiled WASM binary and runtimes.
To build and test the UI made in Rust you will need Trunk
From the candle-wasm-examples/whisper
directory run:
Download assets:
# mel filters
wget -c https://huggingface.co/spaces/lmz/candle-whisper/resolve/main/mel_filters.safetensors
# Model and tokenizer tiny.en
wget -c https://huggingface.co/openai/whisper-tiny.en/resolve/main/model.safetensors -P whisper-tiny.en
wget -c https://huggingface.co/openai/whisper-tiny.en/raw/main/tokenizer.json -P whisper-tiny.en
wget -c https://huggingface.co/openai/whisper-tiny.en/raw/main/config.json -P whisper-tiny.en
# model and tokenizer tiny multilanguage
wget -c https://huggingface.co/openai/whisper-tiny/resolve/main/model.safetensors -P whisper-tiny
wget -c https://huggingface.co/openai/whisper-tiny/raw/main/tokenizer.json -P whisper-tiny
wget -c https://huggingface.co/openai/whisper-tiny/raw/main/config.json -P whisper-tiny
#quantized
wget -c https://huggingface.co/lmz/candle-whisper/resolve/main/model-tiny-en-q80.gguf -P quantized
wget -c https://huggingface.co/lmz/candle-whisper/raw/main/tokenizer-tiny-en.json -P quantized
wget -c https://huggingface.co/lmz/candle-whisper/raw/main/config-tiny-en.json -P quantized
# Audio samples
wget -c https://huggingface.co/datasets/Narsil/candle-examples/resolve/main/samples_gb0.wav -P audios
wget -c https://huggingface.co/datasets/Narsil/candle-examples/resolve/main/samples_a13.wav -P audios
wget -c https://huggingface.co/datasets/Narsil/candle-examples/resolve/main/samples_gb1.wav -P audios
wget -c https://huggingface.co/datasets/Narsil/candle-examples/resolve/main/samples_hp0.wav -P audios
wget -c https://huggingface.co/datasets/Narsil/candle-examples/resolve/main/samples_jfk.wav -P audios
wget -c https://huggingface.co/datasets/Narsil/candle-examples/resolve/main/samples_mm0.wav -P audios
Run hot reload server:
trunk serve --release --public-url / --port 8080
To build and test the UI made in Vanilla JS and WebWorkers, first we need to build the WASM library:
sh build-lib.sh
This will bundle the library under ./build
and we can import it inside our WebWorker like a normal JS module:
import init, { Decoder } from "./build/m.js";
The full example can be found under ./lib-example.html
. All needed assets are fetched from the web, so no need to download anything.
Finally, you can preview the example by running a local HTTP server. For example:
python -m http.server
Then open http://localhost:8000/lib-example.html
in your browser.