str.translate

const svg = d3.select("#my_dataviz")
        .append("svg")
        .attr("width", width + margin.left + margin.right)
        .attr("height", height + margin.top + margin.bottom)
        .append("g")
        .attr("transform", "translate(" + margin.left + "," + margin.top + ")");

      // Y scale (repo names) – horizontal bars
      const y = d3.scaleBand()
        .domain(data.map(d => d.name))
        .range([0, height])
        .padding(0.1);

      // X scale (stars)
      const x = d3.scaleLinear()
        .domain([0, d3.max(data, d => d.stars)])
        .nice()
        .range([0, width]);

      // Y axis (repo names)
      svg.append("g")
        .attr("class", "axis")
        .call(d3.axisLeft(y));

      // X axis (stars)

from markdown import markdown
from langdetect import detect
from deep_translator import GoogleTranslator

translator = GoogleTranslator(source='auto', target='en')
translate_wrapper = lambda x: translator.translate(x) 
# using an access token
g = 'Your Github Token'

def jprint(content):
    print(json.dumps(content, indent=2))

def divide(text, chunk_len=2048):
    n_chunks = len(text) // chunk_len
    return [
        text[i*chunk_len: i*chunk_len+chunk_len] if i != n_chunks - 1 else text[i*chunk_len::] for i in range(n_chunks)
    ]

def chunk_translate_en(text: str):
    return "".join(
        list(
            map(
                translate_wrapper, divide(text)
            )
        )