Убран ChatGPT, добавлен RWKV, изменение сообщений вместо их удаления.
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54
api.py
54
api.py
@ -1,8 +1,7 @@
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from gradio_client import Client
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from chat_api import *
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from deep_translator import GoogleTranslator
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# Обработка запроса генерации
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def predict(prompt, client, model = "0.1"):
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global iddb
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if model == "0.1":
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@ -14,23 +13,38 @@ def predict(prompt, client, model = "0.1"):
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elif model == "0.2":
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result = client.predict(
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prompt,
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0.5, # 'Temperature'
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128, # 'Max new tokens'
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0.5, # 'Температура'
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128, # 'Длина'
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0.8, # 'Top-p (nucleus sampling)'
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1.8, # 'Repetition penalty'
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api_name="/chat"
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)
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elif model == "RWKV":
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result = client.predict(
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prompt,
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333,
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0.6,
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0, # int | float representing numeric value between 0.0 and 1.0 in 'Top P' Slider component
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0, # int | float representing numeric value between 0.0 and 1.0 in 'Presence Penalty' Slider component
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0, # int | float representing numeric value between 0.0 and 1.0 in 'Count Penalty' Slider component
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fn_index=0
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)
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else:
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print("INCORRECT MODEL: ", model)
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print(type(model))
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return result
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# Detect code
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# Определяем что это код
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def iscode(text):
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# Теги
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langs = ['sql','php','js','java','c','cpp','python','go']
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is_code = False
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for i in langs:
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if i + r'\n' in text:
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is_code = True
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break
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# Тег ассемблера
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spec = ['section .']
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if not is_code:
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for i in spec:
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@ -46,7 +60,7 @@ def translate(text, source):
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elif source == "en":
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target = "ru"
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# Fix code translate
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# Исправление перевода кода
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if '```' in text:
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out = ''
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for i in text.split('```'):
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@ -59,39 +73,35 @@ def translate(text, source):
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return out
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# Словарь пользователь - сессия
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iddb = {}
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def gen(text, id, model):
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def gen(prompt, id, model):
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global iddb
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# Если нету сессии
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if str(id) not in iddb:
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if model == "0.1":
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client = Client("https://afischer1985-ai-interface.hf.space/")
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elif model == "0.2":
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# client = Client("https://skier8402-mistral-super-fast.hf.space/")
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client = Client("https://nonamed33-minigpt-api.hf.space/")
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# Changed to private space
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if not model == "3.5":
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elif model == "RWKV":
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client = Client("https://blinkdl-rwkv-gradio-1.hf.space/")
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iddb[str(id)] = client
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else:
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if not model == "3.5":
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client = iddb[str(id)]
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try:
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# if True:
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if model == "0.1" or model == "0.2":
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prompt = translate(text, "ru")
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prompt = translate(prompt, "ru")
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predicted = predict(prompt, client, model).replace("</s>", "")
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predicted = translate(predicted, "en")
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elif model == "3.5":
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# ChatGPT
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global setted_models
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prompt = text
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try:
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inst = setted_models[id]
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except:
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inst = None
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predicted = chat_predict(prompt, id, inst)
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elif model == "RWKV":
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predicted = predict(prompt, client, model)
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else:
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print("INCORRECT MODEL: ", model)
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print(type(model))
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except:
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pass
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68
minigpt.py
68
minigpt.py
@ -27,7 +27,6 @@ def send_welcome(message):
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__ Есть 3 версии:
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0.1 - Простейшая, быстрейшая, краткая, не помнит что вы говорили.
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0.2 - Умнее, относительно быстрая, помнит что вы говорили.
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3.5 - Самая умная, есть цензура, помнит что вы говорили.
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/m - Выбор модели
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__ Список команд:
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@ -77,33 +76,35 @@ System-prompt: {telebot.formatting.hcode(prompt)}
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@bot.message_handler(commands=['m'])
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def set_model(message):
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bot.send_message(message.chat.id, "Выберите новую модель:", reply_markup=gen_markup(str(message.chat.id)))
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mm = bot.send_message(message.chat.id, "Выберите новую модель:")
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m_id = mm.id
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bot.edit_message_text("Выберите новую модель:", chat_id = message.chat.id, message_id = m_id
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, reply_markup=gen_markup(str(message.chat.id), m_id, message.chat.id))
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def gen_markup(id):
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def gen_markup(id, m_id, c_id):
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markup = InlineKeyboardMarkup()
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markup.row_width = 3
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markup.add(InlineKeyboardButton("0.1", callback_data=id+"_0.1"),
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InlineKeyboardButton("0.2", callback_data=id+"_0.2"),
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InlineKeyboardButton("3.5", callback_data=id+"_3.5") )
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markup.add(InlineKeyboardButton("0.1", callback_data=id+"_0.1_"+str(m_id)+"_"+str(c_id)),
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InlineKeyboardButton("0.2", callback_data=id+"_0.2_"+str(m_id)+"_"+str(c_id)),
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InlineKeyboardButton("RWKV", callback_data=id+"_RWKV_"+str(m_id)+"_"+str(c_id)),
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)
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# InlineKeyboardButton("VER", callback_data=id+"_VER_"+str(m_id)+"_"+str(c_id)),
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return markup
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@bot.callback_query_handler(func=lambda call: True)
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def callback_query(call):
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global setted_models, iddb
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id = call.data.split("_")[0] ; m = call.data.split("_")[1]
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id, m, m_id, c_id = call.data.split("_")
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m_id = int(m_id)
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c_id = int(c_id)
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try:
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iddb.pop(id)
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except:
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pass
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if m == "0.1":
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setted_models[id] = "0.1"
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elif m == "0.2":
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setted_models[id] = "0.2"
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elif m == "3.5":
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setted_models[id] = "3.5"
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bot.send_message(int(id), "Успешно установлена новая модель 🤖")
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setted_models[id] = m
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bot.edit_message_text(f"Успешно установлена модель {m} 🤖", chat_id = c_id, message_id = m_id)
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##########################################
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@ -138,9 +139,11 @@ def clear_context(message):
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@bot.message_handler(func=lambda message: True)
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def echo_message(message):
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# Отвечаем в ЛС, либо по команде
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if bot.get_chat(message.chat.id).type == "private" or message.text[:2] == "/a":
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global setted_models, system_prompts
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# Текст генерации при команде
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if message.text[:2] == "/a":
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text = message.text[3:]
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else:
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@ -150,27 +153,42 @@ def echo_message(message):
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if id not in setted_models:
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setted_models[id] = "0.1"
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if id in system_prompts:
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if setted_models[id] != 3.5:
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prompt = '[INST]' + system_prompts[id] + '[/INST]\n\n' + text
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else:
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prompt = text
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st = bot.send_message(message.chat.id, "Печатает...")
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mm = bot.send_message(message.chat.id, "Печатает...")
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m_id = mm.id
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# Если задана инструкция
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if id in system_prompts:
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if setted_models[id] == "0.1" or setted_models[id] == "0.2":
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prompt = '[INST]' + system_prompts[id] + '[/INST]\n\n' + text
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elif setted_models[id] == "RWKV":
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prompt = f'''
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Instruction: {system_prompts[id]}
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\nInput:{text}
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\nResponse:\n'''
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# Если инструкция не задана
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else:
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if setted_models[id] == "0.1" or setted_models[id] == "0.2":
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prompt = text
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elif setted_models[id] == "RWKV":
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prompt = f'''
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Input: {text}
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\nResponse:\n'''
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try:
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#if 1:
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predicted = gen(prompt, message.chat.id, setted_models[id])
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except:
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bot.send_message(message.chat.id, "Извините, возникла непредвиденная ошибка")
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try:
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bot.reply_to(message, predicted, parse_mode="Markdown")
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bot.edit_message_text(predicted, chat_id=message.chat.id, message_id=m_id, parse_mode="Markdown")
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except Exception as e:
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bot.reply_to(message, predicted, parse_mode="HTML")
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bot.edit_message_text(predicted, chat_id=message.chat.id, message_id=m_id, parse_mode="HTML")
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logging.error(traceback.format_exc())
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print(predicted)
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bot.delete_message(message.chat.id, st.id)
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#bot.delete_message(message.chat.id, st.id)
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############
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