Metadata-Version: 2.4
Name: trn
Version: 0.1.11
Summary: CLI tool to translate text with LLMs
Author-email: Alexander Ryabov <alex.ryabov@gmail.com>
Project-URL: Homepage, https://github.com/haron/trn
Project-URL: Issues, https://github.com/haron/trn/issues
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.12
Description-Content-Type: text/markdown
Requires-Dist: configargparse>=1.7.1
Requires-Dist: curl-cffi>=0.13.0
Requires-Dist: html2text>=2025.4.15
Requires-Dist: llm>=0.27.1
Requires-Dist: llm-anthropic>=0.18
Requires-Dist: llm-gemini>=0.25
Requires-Dist: pyperclip>=1.9.0

# trn: CLI tool for translating text using LLMs

## Features

- Multiple input sources: command line arguments, stdin, clipboard, URLs, or files
- OpenAI, Anthropic, and Gemini models
- Configurable via command line arguments or environment variables

## Installation

With [uv](https://docs.astral.sh/uv/) installed, you can run it without the installation:
`uvx trn` will always run the latest version of the command. You can also install it the
usual way:

```bash
uv tool install trn
# or
pip install trn
```

## Getting started

First, [set the key](https://llm.datasette.io/en/stable/help.html#llm-keys-help) for your LLM
provider. Example for Google Gemini:

    uvx --with llm-gemini llm keys set gemini

Second, specify your target language via the `TRN_TO_LANGUAGE` environment variable or `-t` argument.
The `-t` argument takes priority when both are set.

Third, provide text to translate in one of these ways:

- command line arguments
- standard input
- clipboard

The tool checks for arguments first, then standard input, then the clipboard.

You can also translate web pages or local PDF/image files by providing a URL or file path.

## Basic Usage

```bash
# Translate from clipboard to default language
trn

# Translate command line text into French
trn -t french Hello world

# Translate from stdin
echo "Hello world" | trn

# Translate a file
trn document.pdf

# Translate from URL
trn https://example.com/article

# Use custom LLM
trn -m gpt-4o-mini
```

## Requirements

- Python 3.12+
- LLM API key configured
- UV installed (optional, but highly recommended)

## Configuration

Set environment variables for convenience:

    export TRN_TO_LANGUAGE=spanish
    # optionally:
    export TRN_MODEL=gpt-4o-mini

## Development

Run `trn` with local changes:

    uv run trn ...

Run tests:

    make test

### All the options

```
> trn --help
> trn --help
usage: trn [-h] -t TO_LANGUAGE [-m MODEL] [-p PROMPT] [-a PROMPT_ADD] [-w WRAP]
           [-v] [-d]
           [text ...]

positional arguments:
  text                  Text to translate, or URL(s), or path to file(s)
                        (default: None)

options:
  -h, --help            show this help message and exit
  -t, --to-language TO_LANGUAGE
                        Target language for translation [env var:
                        TRN_TO_LANGUAGE] (default: None)
  -m, --model MODEL     LLM to use (run 'uvx llm models' for available models)
                        [env var: TRN_MODEL] (default: gemini-flash-latest)
  -p, --prompt PROMPT   Custom prompt for translation [env var: TRN_PROMPT]
                        (default: Translate the text (it can be in any language)
                        into {to_language}. Don't explain that the output is a
                        translation. Tell me if you don't recognize
                        '{to_language}' language. If there is a file attached,
                        translate the contents of the file. {prompt_add})
  -a, --prompt-add PROMPT_ADD
                        Text to append to the prompt [env var: TRN_PROMPT_ADD]
                        (default: )
  -w, --wrap WRAP       Wrap output at N chars (use 0 to disable wrapping) [env
                        var: TRN_WRAP] (default: 80)
  -v, --verbose         Enable verbose output [env var: TRN_VERBOSE] (default:
                        False)
  -d, --debug           Enable debug output [env var: TRN_DEBUG] (default:
                        False)

 In general, command-line values override environment variables which override
defaults.
```
usage: trn [-h] -t TO_LANGUAGE [-m MODEL] [-p PROMPT] [-a PROMPT_ADD] [-w WRAP]
           [-v] [-d]
           [text ...]

positional arguments:
  text                  Text to translate, or URL(s), or path to file(s)
                        (default: None)

options:
  -h, --help            show this help message and exit
  -t, --to-language TO_LANGUAGE
                        Target language for translation [env var:
                        TRN_TO_LANGUAGE] (default: None)
  -m, --model MODEL     LLM to use (run 'uvx llm models' for available models)
                        [env var: TRN_MODEL] (default: gemini-flash-latest)
  -p, --prompt PROMPT   Custom prompt for translation [env var: TRN_PROMPT]
                        (default: Translate the text (it can be in any language)
                        into {to_language}. Don't explain that the output is a
                        translation. Tell me if you don't recognize
                        '{to_language}' language. If there is a file attached,
                        translate the contents of the file. {prompt_add})
  -a, --prompt-add PROMPT_ADD
                        Text to append to the prompt [env var: TRN_PROMPT_ADD]
                        (default: )
  -w, --wrap WRAP       Wrap output at N chars (use 0 to disable wrapping) [env
                        var: TRN_WRAP] (default: 80)
  -v, --verbose         Enable verbose output [env var: TRN_VERBOSE] (default:
                        False)
  -d, --debug           Enable debug output [env var: TRN_DEBUG] (default:
                        False)

 In general, command-line values override environment variables which override
defaults.
```
