#!/bin/sh printf "whisper.cpp: this script hasn't been maintained and is not functional atm\n" exit 1 # This script downloads Whisper model files that have already been converted to Core ML format. # This way you don't have to convert them yourself. src="https://huggingface.co/datasets/ggerganov/whisper.cpp-coreml" pfx="resolve/main/ggml" # get the path of this script get_script_path() { if [ -x "$(command -v realpath)" ]; then dirname "$(realpath "$0")" else _ret="$(cd -- "$(dirname "$0")" >/dev/null 2>&1 || exit ; pwd -P)" echo "$_ret" fi } models_path="$(get_script_path)" # Whisper models models="tiny.en tiny base.en base small.en small medium.en medium large-v1 large-v2 large-v3 large-v3-turbo" # list available models list_models() { printf "\n" printf " Available models:" for model in $models; do printf " %s" "$models" done printf "\n\n" } if [ "$#" -ne 1 ]; then printf "Usage: %s \n" "$0" list_models exit 1 fi model=$1 if ! echo "$models" | grep -q -w "$model"; then printf "Invalid model: %s\n" "$model" list_models exit 1 fi # download Core ML model printf "Downloading Core ML model %s from '%s' ...\n" "$model" "$src" cd "$models_path" || exit if [ -f "ggml-$model.mlmodel" ]; then printf "Model %s already exists. Skipping download.\n" "$model" exit 0 fi if [ -x "$(command -v wget)" ]; then wget --quiet --show-progress -O ggml-"$model".mlmodel $src/$pfx-"$model".mlmodel elif [ -x "$(command -v curl)" ]; then curl -L --output ggml-"$model".mlmodel $src/$pfx-"$model".mlmodel else printf "Either wget or curl is required to download models.\n" exit 1 fi if [ $? -ne 0 ]; then printf "Failed to download Core ML model %s \n" "$model" printf "Please try again later or download the original Whisper model files and convert them yourself.\n" exit 1 fi printf "Done! Model '%s' saved in 'models/ggml-%s.mlmodel'\n" "$model" "$model" printf "Run the following command to compile it:\n\n" printf " $ xcrun coremlc compile ./models/ggml-%s.mlmodel ./models\n\n" "$model" printf "You can now use it like this:\n\n" printf " $ ./main -m models/ggml-%s.bin -f samples/jfk.wav\n" "$model" printf "\n"