A custom recipe for Prodigy that mimics Bionic Reading.

bionic.py

import pyphen

import prodigy
from prodigy.components.loaders import JSONL
from prodigy.components.db import connect

hyphenator = pyphen.Pyphen(lang="en_US")

def construct_html(text):
    hyphend = hyphenator.inserted(text)
    result = ""
    for word in hyphend.split(" "):
        if word[0] == "-":
            word = word[1:]
        if "-" not in word:
            result += f"<span><b>{word[0]}</b>{word[1:]} </span>"
        else:
            first_dash = word.find("-")
            word = word.replace("-", "")
            result += f"<span><b>{word[:first_dash]}</b>{word[first_dash:]} </span>"
    return result

@prodigy.recipe("bionic")
def bionic(dataset):
    def get_stream():
        data = [
            {"text": "Bionic Reading is a new method of facilitating the reading process by guiding the eyes through text with artificial fixation points. As a result, the reader is only focusing on the highlighted initial letters and lets the brain center complete the word. In a digital world dominated by shallow forms of reading Bionic Reading aims to encourage a more in-depth reading and understanding of written content."}
        ]

        for d in data:
            d["html"] = construct_html(d["text"])
            d["label"] = "DEMO"
            yield d

    return {
        "dataset": dataset,
        "view_id": "html",
        "stream": get_stream(),
        "config": {
            # "global_css": ".prodigy-content{font-family: 'Courier New', monospace;} .prodigy-content b{font-weight: 900} .prodigy-content span{font-weight: 100}"
        }
    }