i decided to write a telegram bot on aiogram with the implementation of the qwen 2.5 math neural network via the gradioc_lient api. The problem is that when there is an Api request, the asynchronous program is blocked and the bot stops responding until it produces a result. Is there any way to fix this? import uuid from aiogram import Router, F from aiogram.filters import CommandStart, Command from aiogram.types import Message from gradio_client import Client, handle_file start_router = Router() async def image_hueta(fileName): client = Client("Qwen/Qwen2-Math-Demo") result = client.predict( image=handle_file(fileName), sketchpad={"background": handle_file( 'https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png'), "layers": [], "composite": None}, question="доказать равенсво", api_name="/math_chat_bot" ) return result @start_router.message(CommandStart()) async def cmd_start(message: Message): await message.answer("Хай!!!") @start_router.message(F.photo) async def send_photo(message: Message): local_filename = f"{uuid.uuid4()}.png" await message.bot.download(file = message.photo[-1].file_id, destination=local_filename) await message.answer("Ваш запрос обрабатывается...") result = await image_hueta(local_filename) await message.answer(f"{result}") . Continue reading...