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#!/bin/bash |
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src="https://huggingface.co/datasets/ggerganov/whisper.cpp-coreml" |
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pfx="resolve/main/ggml" |
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function get_script_path() { |
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if [ -x "$(command -v realpath)" ]; then |
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echo "$(dirname $(realpath $0))" |
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else |
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local ret="$(cd -- "$(dirname "$0")" >/dev/null 2>&1 ; pwd -P)" |
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echo "$ret" |
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fi |
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} |
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models_path="$(get_script_path)" |
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models=( "tiny.en" "tiny" "base.en" "base" "small.en" "small" "medium.en" "medium" "large-v1" "large-v2" "large-v3" ) |
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function list_models { |
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printf "\n" |
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printf " Available models:" |
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for model in "${models[@]}"; do |
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printf " $model" |
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done |
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printf "\n\n" |
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} |
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if [ "$#" -ne 1 ]; then |
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printf "Usage: $0 <model>\n" |
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list_models |
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exit 1 |
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fi |
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model=$1 |
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if [[ ! " ${models[@]} " =~ " ${model} " ]]; then |
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printf "Invalid model: $model\n" |
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list_models |
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exit 1 |
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fi |
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printf "Downloading Core ML model $model from '$src' ...\n" |
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cd $models_path |
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if [ -f "ggml-$model.mlmodel" ]; then |
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printf "Model $model already exists. Skipping download.\n" |
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exit 0 |
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fi |
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if [ -x "$(command -v wget)" ]; then |
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wget --quiet --show-progress -O ggml-$model.mlmodel $src/$pfx-$model.mlmodel |
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elif [ -x "$(command -v curl)" ]; then |
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curl -L --output ggml-$model.mlmodel $src/$pfx-$model.mlmodel |
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else |
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printf "Either wget or curl is required to download models.\n" |
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exit 1 |
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fi |
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if [ $? -ne 0 ]; then |
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printf "Failed to download Core ML model $model \n" |
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printf "Please try again later or download the original Whisper model files and convert them yourself.\n" |
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exit 1 |
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fi |
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printf "Done! Model '$model' saved in 'models/ggml-$model.mlmodel'\n" |
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printf "Run the following command to compile it:\n\n" |
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printf " $ xcrun coremlc compile ./models/ggml-$model.mlmodel ./models\n\n" |
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printf "You can now use it like this:\n\n" |
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printf " $ ./main -m models/ggml-$model.bin -f samples/jfk.wav\n" |
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printf "\n" |
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