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Unofficial No Such Thing As A Fish episode transcripts.

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transcript.fish

Unofficial No Such Thing As A Fish episode transcripts.

Running webapp locally

  1. Run npm install
  2. Run npm run dev

Download episodes from the RSS feed, transcribe them, and add them to the database

TODO: Add instructions for creating database

  1. Install deps

    • Run pip install -r requirements.txt
  2. Download most recent episodes and transcribe them

    • Change line 11 of whisper.py to local_files_only=False

    • (Optional): Change line 5 of whisper.py model_size = 'large-v2' to your preferred model, see note below for details, see available models.

    • Run npm run convert (this is idempotent and will go through all episodes)

      NOTE: By default this uses the medium.en Whisper model. On an M1 Mac with 64GB of RAM this transcribes at about 1.4x speed. This means an hour long episode gets transcribed in about 42 minutes.

      So, as of 25 July 2023:

      select sum(duration) from episodes
      -- 1292175
         1,292,175.0 seconds
      ÷         60.0 seconds
      ÷         60.0 minutes
      ÷         24.0 hours
      -----------------------
      =         15.0 days
      ÷          1.4 speed
      -----------------------
      =         10.7 days
      

      The good news is changing to the small.en or the tiny.en increases this speed dramatically but the accuracy goes down slightly. small.en transcribes at about 3x speed, for example.

      The other good news is you can kill the script (Ctrl + C) and restart it at any time and it will pick back up after the last fully transcribed episode.

      NOTE: This script also downloads all the audio files for the episodes as well as each episode's album art. As of 25 July 2023 this amounts to 487 episodes, ~20GB audio, ~130MB images.

  3. Split database into chunks

    • Run npm run split:db
  4. (Optional) Sync database, audio, images, and fonts to (Cloudflare) R2. Needs rclone and jq installed.

    • Run npm run sync

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Unofficial No Such Thing As A Fish episode transcripts.

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