Skip to main content

Command-line tool for learning foreign languages through gradual exposure to new vocabulary

Project description

PreLing

PreLing is a command-line tool for improving language comprehension skills through gradual exposure to new vocabulary. It supports every language that spaCy supports. Because PreLing uses GPT under the hood, you must have a paid OpenAI account and an API key to run it.

Installation

Install Python 3.12 or later and pipx, then run:

pipx install preling          # install
pipx install "preling[ja]"    # alternatively: install with Japanese support
pipx upgrade preling          # upgrade
pipx uninstall preling        # uninstall (hopefully you won't need this)

Initialize a New Language

Prepare a plain-text file that contains one sentence per line in the language you want to learn. For example, you can download a monolingual corpus from OPUS. Then run:

preling init <lang> <corpus>

<lang> is the language code, and <corpus> is the path to the corpus file.

Study a Language

preling study <lang> [--audio] [--audio-only] [--model <GPT_MODEL>] \
               [--tts-model <TTS_MODEL>] [--api-key <OPENAI_KEY>] [--tts-api-key <OPENAI_OR_GCLOUD_KEY>]
  • <lang> – the language code you initialized earlier.
  • --audio – play audio along with the text.
  • --audio-only – play audio without displaying the text.
  • --tts-locale – the locale for text-to-speech (e.g., en-US, ja-JP); required for Gemini models.
  • --model – the GPT model to use for grammar evaluation.
  • --tts-model – the text-to-speech model to use for audio playback.
  • --api-key – your OpenAI API key.
  • --tts-api-key – your OpenAI API key for text-to-speech, or path to Google Cloud service account JSON file for Gemini models.

Instead of passing these options each time, you can set the environment variables PRELING_API_KEY, PRELING_MODEL, PRELING_TTS_API_KEY, and PRELING_TTS_MODEL.

View Your Progress

preling stats <lang>

Other Commands

preling path <lang>               # show the path to the language data file
preling delete <lang> [--force]   # delete the language data file; use --force to skip the confirmation prompt

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

preling-1.7.0.tar.gz (20.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

preling-1.7.0-py3-none-any.whl (25.5 kB view details)

Uploaded Python 3

File details

Details for the file preling-1.7.0.tar.gz.

File metadata

  • Download URL: preling-1.7.0.tar.gz
  • Upload date:
  • Size: 20.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for preling-1.7.0.tar.gz
Algorithm Hash digest
SHA256 3cb27bfb232c506ac692895013d09b9a31836c0057c7b2bc049a97c25eaf456c
MD5 8c4d72066573319745b0c8bbf3a51471
BLAKE2b-256 28486c1cddb859854502a7d90869088c2c269859fc65b14e5eb0222acdf17bab

See more details on using hashes here.

File details

Details for the file preling-1.7.0-py3-none-any.whl.

File metadata

  • Download URL: preling-1.7.0-py3-none-any.whl
  • Upload date:
  • Size: 25.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for preling-1.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 4c6c74ca7d077c659963624cc4b3f66430e8eb458bd6156a99844a3ecfd31595
MD5 060a21e8e86cc4b61b3f4eeeebdcccc9
BLAKE2b-256 6be9f2076bd4001459eef5ff24152973f753251b49077df69e57dfc70ad99561

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page