#!/bin/zsh
set -euo pipefail

SUPPORT_DIR="$HOME/Library/Application Support/WhisperKey"
WAV_PATH="${1:-$SUPPORT_DIR/last-dictation.wav}"

if [[ ! -f "$WAV_PATH" ]]; then
  echo "Нет записи для сравнения: $WAV_PATH" >&2
  exit 1
fi

echo "=== whisper.cpp ==="
"$SUPPORT_DIR/whisper-cli" \
  -m "$SUPPORT_DIR/ggml-large-v3-turbo.bin" \
  -f "$WAV_PATH" \
  -l ru \
  --no-timestamps \
  --no-prints \
  --no-fallback \
  --max-context 0

echo
echo "=== openai/whisper ==="
"$SUPPORT_DIR/openai-whisper-venv/bin/python" - "$WAV_PATH" "$SUPPORT_DIR/openai-models" <<'PY'
import sys
import whisper

audio_path, model_dir = sys.argv[1], sys.argv[2]
model = whisper.load_model("turbo", download_root=model_dir)
result = model.transcribe(
    audio_path,
    language="ru",
    temperature=0,
    condition_on_previous_text=False,
    fp16=False,
)
print(result["text"].strip())
PY