80 lines
2.2 KiB
Bash
80 lines
2.2 KiB
Bash
#!/usr/bin/env bash
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if which tput >/dev/null 2>&1; then
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ncolors=$(tput colors)
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fi
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if [ -t 1 ] && [ -n "$ncolors" ] && [ "$ncolors" -ge 8 ]; then
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RED="$(tput setaf 1)"
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GREEN="$(tput setaf 2)"
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YELLOW="$(tput setaf 3)"
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BLUE="$(tput setaf 4)"
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MAGENTA="$(tput setaf 5)"
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CYAN="$(tput setaf 6)"
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BOLD="$(tput bold)"
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NORMAL="$(tput sgr0)"
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else
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RED=""
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GREEN=""
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YELLOW=""
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BLUE=""
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MAGENTA=""
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CYAN=""
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BOLD=""
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NORMAL=""
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fi
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# Will return a symlink path in its expanded form. If the path's root is the
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# home directory symbol "~" then it'll be replaced by the full home path.
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expand_path() {
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local ret="$1"
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IFS="/" read -ra parts <<< "$ret"
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if [[ "${parts[0]}" == "~" ]]; then
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ret="$HOME"
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for ((i=1; i < ${#parts[@]}; i++))
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do
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ret="$ret/${parts[$i]}"
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done
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fi
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ret=$(readlink -m "$ret")
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echo $ret
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}
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input_wav="$1"
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output_name_without_ext="$2"
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model="$3"
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threads=$4
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# 4 seems to be the sweet spot for most models, except medium might be faster with 8.
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default_thread_count=4
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if [[ $input_wav == "" || $output_name_without_ext == "" || $model == "" ]]; then
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printf "${BOLD}${RED}Usage: $0 <input.wav> <output name without extension> <model name> <optional: thread count>${NORMAL}\n"
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exit 1
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fi
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if [[ ! -f "$input_wav" ]]; then
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printf "${RED}${BOLD}Input file \"$input_wav\" doesn't exist!\n${NORMAL}"
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exit 1
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fi
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if [[ $threads == "" ]]; then
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threads=$default_thread_count
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fi
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output_name="$output_name_without_ext.${model}"
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printf "\n${YELLOW}${BOLD}Transcribing $input_wav | model: $model | threads: $threads | output: $output_name ${NORMAL}\n"
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whisper_fullname="$(expand_path $(which whisper.exe))"
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whisper_path="$(dirname $whisper_fullname)"
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models_path="$whisper_path/models"
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whisper.exe --threads ${threads} -m "$models_path/ggml-${model}.en.bin" -otxt -osrt -f "$input_wav" -of "$output_name" --print-colors
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error=$?
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if [[ error -eq 0 ]]; then
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printf "${GREEN}${BOLD}Done transcribing $input_wav | model: $model | threads: $threads | output: $output_name${NORMAL}\n"
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else
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printf "${GREEN}${BOLD}Error while transcribing $input_wav | model: $model | threads: $threads | output: $output_name${NORMAL}\n"
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fi
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