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# -*- coding: utf-8 -*- |
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from gpt_3.preprocessing import encoding_text, decoding_text, get_text_gpt3 |
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from utils.misc.throttling import rate_limit |
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from aiogram.dispatcher import FSMContext |
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from aiogram import types |
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from loader import dp |
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import asyncio |
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""" |
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Created on 10.09.2021 |
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@author: Nikita |
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""" |
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async def zero_output(message: types.Message): |
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await message.answer(text="Упс...") |
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await asyncio.sleep(1) |
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await message.answer(text="Что-то я не смог сформулировать ответ, " |
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"попробуйте перефразировать сообщение 🙁") |
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@rate_limit(3, 'message') |
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@dp.message_handler() |
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async def processing_message(message: types.Message, state: FSMContext): |
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""" |
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The function is designed to receive messages in russian and generate a response. |
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""" |
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await types.ChatActions.typing() |
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data_storage = await state.get_data() |
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text = message.text.lower() |
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await state.update_data(history_text=text) |
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await state.update_data(chat_id=message.chat.id) |
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await state.update_data(first_name=message.from_user.first_name) |
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input_text, check_question = encoding_text(text_encode=text) |
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if 'history_text' in data_storage: |
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if text == data_storage['history_text']: |
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await message.answer(text="Ой... Где-то я уже это видел! 🥱") |
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# input_text = torch.cat([context.chat_data['output'][-1], input_text[0]], dim=0) |
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# input_text = input_text.unsqueeze(0) |
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return |
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text_gpt3 = get_text_gpt3(text_gpt=input_text, check_question=check_question) |
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output_text = decoding_text(text_decode=text_gpt3) |
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if len(output_text.split()) < 1: |
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await zero_output(message) |
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return |
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await message.answer(text=output_text) |
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if 'input' in data_storage: |
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await state.update_data(input=input_text) |
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await state.update_data(output=text_gpt3) |
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return |
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data_history = {'input': [input_text], |
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'output': [text_gpt3]} |
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await state.update_data(data_history) |
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Non1ce /
Russian-conversational-chat_bot
