python_bot/handlers/davinci.py

import openai
from aiogram import types, Dispatcher
from create_bot import dp, bot
import logging



token = '5947963644:AAF_GKgMmU5ovqMpc1KXIpcf4aN0JMyKPqc'
#openai.api_key = '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'
openai.api_key = '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' 
ban_comands = ['/dick','/topdick']

# Image_promt =['тупица сгенерируй','тупица сгенерируй картинку',\
#                                          'тупица отправь картинку', 'тупица отправь картинку']


@dp.message_handler(commands=['image'])
async def send_image(message: types.Message):
    try:
        description = message.text.replace('/image', '').strip()
        
        if not description:
            await message.reply('Ты даун, описание запроса напиши после пробела')
            return
    except Exception as e:
        logging.error(f'Error in send_image: {e}')
    try:

        response = openai.Image.create(
        prompt=message.text,
        n=1,
        size="1024x1024",
        response_format="url",
        
    )
        image_url = response['data'][0]['url']
        await message.answer('Генерирую изображение...')
        await message.reply_photo(image_url)
    except Exception as e:
        await message.reply('у меня не получилось')

@dp.message_handler()
async def send(message: types.Message):
    if message.text.lower().startswith('тупица'):

        ## TODO уточнить остатки токенов и денег
        response = openai.Completion.create(
            model="text-davinci-003",
            prompt=message.text[7:],
            temperature=0.7,
            max_tokens=1000,
            top_p=1.0,
            frequency_penalty=0.0,
            presence_penalty=0.6,
            stop=["сброс"]
        )
        await message.reply(response['choices'][0]['text'])

    elif message.reply_to_message.from_user.is_bot:
        response = openai.Completion.create(
            model="text-davinci-003",
            prompt=message.text,
            temperature=0.7,
            max_tokens=1000,
            top_p=1.0,
            frequency_penalty=0.0,
            presence_penalty=0.6,
            stop=["сброс"]
        )
        await message.reply(response['choices'][0]['text'])