app.py

import multiprocessing
import gradio as gr
import httpx
from logzero import logger
from deepl_fastapi.run_uvicorn import main

multiprocessing.Process(target=main).start()


def deepl(text, from_lang, to_lang):
    # "http://127.0.0.1:8000/text/?q=test%20me&to_lang=zh"
    url = "http://127.0.0.1:8000/text/" # ?q=test%20me&to_lang=zh"
    try:
        resp = httpx.get(f"{url}?q={text}&from_lang={from_lang}&to_lang={to_lang}")
        resp.raise_for_status()
    except Exception as exc:
        logger.error(exc)
        return str(exc)
    try:
        jdata = resp.json()
    except Exception as exc:
        logger.error(exc)
        return str(exc)

    return jdata.get("trtext")


iface = gr.Interface(
    fn=deepl,
    inputs=[
        gr.Textbox(placeholder="Paste text here (max. 5000 chars)", lines=7,),
        gr.Textbox(label="from_lang", value="en", lines=1),
        gr.Textbox(label="to_lang", value="zh", lines=1),
    ],
    outputs="textarea"
)
iface.launch()