Skip to main content

No project description provided

Project description

SUBT-AI-TLES

A simple wrapper around LLMs that provides language translation interface for subtitles (.srt).

Predefined implementations

So far OpenAI API is the only supported/pre-implemented 'backend'

Setup required environment variables and then simply import and invoke the function.

import asyncio
from subtaitles import translate_srt_file, Engine, Lang

# use predefined translators from the Engine enum
asyncio.run(
    translate_srt_file(
        path="/tmp/subtitles.en.srt",
        new_path="/tmp/subtitles.de.srt",
        translator=Engine.OPEN_AI,
        source=Lang.EN,
        target=Lang.DE
    )
)
# behavior and configuration is controlled via environment variables
# all the used variables are defined int the environment module
from subtaitles import env

Directory mode

A directory mode is included as well that tries to translate ALL the .srt files it can find in the supplied directory path. Locale extension are used to avoid re-running the translation over and over, e.g.:

If sub-1.de.srt already exists in the directory and translation from en -> de is to be performed on it, the file sub-1.srt will be skipped altogether.

import asyncio
from subtaitles import Lang, Engine
from subtaitles.filesystem import translate_directory

asyncio.run(
    translate_directory(
        path="/tmp/data/shows/foo/season-01",
        translator=Engine.OPEN_AI,
        source=Lang.EN,
        target=Lang.DE
    )
)

Custom implementations

An arbitrary class that implements the TranslateProtocol can be passed to both the translate_srt_file() and translate_srt()

import asyncio
from subtaitles import Lang, translate_srt_file

class MyCustomTranslator:
     async def translate(
        self, text: list[str], language_from: Lang, language_to: Lang,
    ) -> list[str]:
        # <implement whatever floats your boat>
        ...

asyncio.run(
    translate_srt_file(
        path="/tmp/subtitles.en.srt",
        new_path="/tmp/subtitles.de.srt",
        translator=MyCustomTranslator(),
        source=Lang.EN,
        target=Lang.DE
    )
)

CLI

translate_srt_file is exposed as a utility command for command line usage:

translate_subtitles --help
translate_subtitles --engine openai /tmp/subtitles.en.srt /tmp/subtitles.de.srt en de

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

subt_ai_tles-0.0.7.tar.gz (9.1 kB view details)

Uploaded Source

Built Distribution

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

subt_ai_tles-0.0.7-py3-none-any.whl (13.7 kB view details)

Uploaded Python 3

File details

Details for the file subt_ai_tles-0.0.7.tar.gz.

File metadata

  • Download URL: subt_ai_tles-0.0.7.tar.gz
  • Upload date:
  • Size: 9.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.11

File hashes

Hashes for subt_ai_tles-0.0.7.tar.gz
Algorithm Hash digest
SHA256 c4a74d6e9a986e94b22d6687dfcf68aa136faaf53833de5b4bc6e9c0bb63d61e
MD5 15e037e14cb7ec6c8c2193bc87924405
BLAKE2b-256 2dc05b4f895f339bdf6cdf9e137257c58f7936b0a9227b3ca1ea592173f2f326

See more details on using hashes here.

File details

Details for the file subt_ai_tles-0.0.7-py3-none-any.whl.

File metadata

File hashes

Hashes for subt_ai_tles-0.0.7-py3-none-any.whl
Algorithm Hash digest
SHA256 211916b680e2c9d2689c947ab5ae00690904fc4458ae61bd22e03bd0b23c7582
MD5 df50e0dc8ebb041e1358cf0ddb20c586
BLAKE2b-256 fc6ca0daeb211b45b5ae82a59786a1a60964d6a8282889219800e3f68ab2e6e5

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