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Reactive Multi-language Gradio App with minimal effort

Project description

gradio-i18n

PyPI - Version Static Badge

Reactive Multi-language Gradio App with minimal effort. Enables Gradio app displayiing localized UI responding to the browser language settings.

Installation

pip install gradio-i18n

Usage

  1. Prepare a translation dict like examples below.
  2. Wrap text intended to be localized with gradio_i18n.gettext()
  3. Invoke gradio_i18n.translate_blocks(), within the context of gradio blocks.
import gradio as gr
from gradio_i18n import gettext, translate_blocks


def greet(name):
    return f"Hello {name}!"


lang_store = {
    "en": {
        "Submit": "Submit✅",
        "Name": "Name 📛",
        "Greeting": "Greeting 🎉",
        "Input your name here.": "Input your name here. 📝",
    },
    "zh": {
        "Submit": "提交",
        "Name": "名字",
        "Greeting": "问候",
        "Input your name here.": "在这里输入你的名字。",
    },
}

with gr.Interface(
    fn=greet,
    inputs=gr.Textbox(
        label=gettext("Name"), placeholder=gettext("Input your name here.")
    ),
    outputs=gr.Textbox(label=gettext("Greeting")),
    submit_btn=gettext("Submit"),
) as demo:
    translate_blocks(translation=lang_store)

demo.launch()

[!NOTE] Keep in mind that the translate_blocks() function MUST BE called in the gradio block context (with)

Get current language

Except for automatically translated text value in Gradio components, user may expect to get the current language of the user for localizing contents. To get the current language, simply pass a gradio.State into arguments of translate_blocks(), and you will get the language value in "lang" key in the input state object.

Example:

import gradio as gr
import gradio_i18n

def get_lang(state):
    return state, state["lang"]

with gr.Blocks() as block:
    state = gr.State()
    display_lang = gr.Text()
    gr.Interface(get_lang, inputs=[state], outputs=[state, display_lang])
    gradio_i18n.translate_blocks(state=state)

block.launch()

[!NOTE] Only dict type state is supported at this moment.

Build translation dictionary

To build the transtion dictionary to be passed to translate_blocks, we provide a simple helper function to dump all the i18n texts from the gradio blocks object.

This is an example of using yaml/json to persist the translation.

JSON

import gradio as gr
import gradio_i18n
import json

trans_file = "translations.json"
if not os.path.exists(trans_file):
    lang_store = {}
else:
    lang_store = json.load(open(trans_file))

# define your gradio block here....
# with gr.Blocks() as block:
#     ....
#     gradio_i18n.translate_blocks(block, lang_store)

collected_texts = gradio_i18n.dump_blocks(block, langs=["zh", "en"], include_translations=lang_store)
json.dump(collected_texts, open(trans_file, "w"), indent=2, ensure_ascii=False)

YAML

import gradio as gr
import gradio_i18n
import yaml

trans_file = "translations.yaml"
if not os.path.exists(trans_file):
    lang_store = {}
else:
    lang_store = yaml.safe_load(open(trans_file))

# define your gradio block here....
# with gr.Blocks() as block:
#     ....
#     gradio_i18n.translate_blocks(block, lang_store)

collected_texts = gradio_i18n.dump_blocks(block, langs=["zh", "en"], include_translations=lang_store)
yaml.safe_dump(collected_texts, open(trans_file, "w"), allow_unicode=True)

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