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from multiprocessing import Process, freeze_support | |
import gradio as gr | |
import httpx | |
from logzero import logger | |
from deepl_fastapi.run_uvicorn import main | |
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") | |
if __name__ == "__main__": | |
freeze_support() | |
Process(target=main).start() | |
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() | |