The Day of the Jackal, 1973

Watched on Tuesday March 4, 2025.

Lebensmitteltransparenz

Informationsportal zu Grenzwertüberschreitungen und Verstößen in der amtlichen Lebensmittel- und Futtermittelüberwachung

Für das Land Nordrhein-Westfalen werden Ihnen an dieser Stelle alle Informationen im Sinne des § 40 Abs. 1a des Lebensmittel- und Futtermittelgesetzbuch – LFGB zentral und transparent angeboten. Die Informationen werden von den zuständigen Behörden (Lebensmittelüberwachungsämter der Kreise und kreisfreien Städte; LANUV) in eigener Verantwortung eingestellt.

https://www.lebensmitteltransparenz.nrw.de/

achievements on 05.03.2025

A Complete Unknown, 2024

Watched on Tuesday March 4, 2025.

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achievements on 01.03.2025

Local audio transcriptions with whisper-cpp

If you want to do audio transcriptions on your machine, here is a bunch of scripts that show how to do it with whisper-cpp.

I found the transcription results to be better than what youtube et al generate automatically. On my M1 MacBook Air the transcription is mostly faster than real time.

install.sh:

#!/bin/bash
brew install whisper-cpp ffmpeg wget

download-model.sh:

#!/bin/bash
wget https://ggml.ggerganov.com/ggml-model-whisper-large-q5_0.bin

transcode-to-wave.sh:

#!/bin/bash

# Check if an argument was provided
if [ -z "$1" ]; then
    echo "Usage: $0 <input_file>"
    exit 1
fi

# Extract filename without extension
input_file="$1"
base_name="$(basename "$input_file" | sed -E 's/[^a-zA-Z0-9]//g')"
output_file="${base_name}.wav"

# Run FFmpeg command
ffmpeg -i "$input_file" -ac 1 -ar 16000 "$output_file"

whisper-transcribe.sh:

#!/bin/bash

if [ "$#" -ne 2 ]; then
    echo "Usage: $0 <wav_file> <language>"
    exit 1
fi

WAV_FILE="$1"
LANGUAGE="$2"

if [ ! -f "$WAV_FILE" ]; then
    echo "Error: File '$WAV_FILE' not found!"
    exit 1
fi

MODEL="ggml-model-whisper-large-q5_0.bin"

echo "Transcribing '$WAV_FILE' to language '$LANGUAGE'..."
whisper-cli \
    -l "$LANGUAGE" \
    -m "$MODEL" \
    --output-txt \
    --output-vtt \
    --output-srt \
    --output-lrc \
    --output-words \
    --output-csv \
    --output-json \
    --output-json-full \
    "$WAV_FILE"

echo "Transcription completed!"

achievements on 28.02.2025

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Black Snake Moan, 2006

Watched on Wednesday February 12, 2025.

achievements on 13.02.2025

achievements on 12.02.2025

Saturday Night, 2024

Watched on Sunday February 9, 2025.

achievements on 10.02.2025

achievements on 09.02.2025

The Northman, 2022

Watched on Friday February 7, 2025.

achievements on 08.02.2025

Nosferatu, 2024

Watched on Wednesday February 5, 2025.