Respan Dataset Explorer

Assistant: 
User: System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Well it was more money and on the wrong number! So a complete mess! Returned the phone and now sat in the local MyTeleC shop to see what they can sort out for me'
intention: '
Assistant:
Assistant:

The author's intention in this app review relates to a **bug report**. The review indicates a problem with the app involving a transaction error ("more money and on the wrong number") that caused inconvenience, leading the user to take further action by visiting a physical store for resolution.

Assistant: 
User: چ
Assistant:

جی، میں یہاں آپ کی مدد کے لیے ہوں۔ آپ کیا جاننا یا پوچھنا چاہیں گے؟

Assistant: 
User: System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Well its a good job Im not far off the end of my contract then'
intention: '
Assistant:
Assistant:

other

In the thesis, it states that the political power of the monarchy increased due to its extension from the secular into the religious sphere. However, it is not elaborated upon, so add one final sentence doing so: One political effect of the Protestant Reformation in England was the increase of the monarchy's political power with its dissolution of monasteries and the subsequent redistribution of wealth and land and its influence over religion.
Between 1536 and 1540, King Henry VIII ordered the closure of monasteries, seizing their assets and lands for the Crown.
This action allowed Henry VIII to reward loyal nobility and gentry with these lands, thereby increasing their support for his policies. The redistribution of church property weakened the power of the Catholic Church in England, and the wealth the monarchy gained was used to fund wars.

By dissolving the monasteries between 1536 and 1540, seizing their assets and lands, and redistributing them to loyal nobility and gentry—thereby extending his influence into the religious sphere—Henry VIII significantly increased the political power of the monarchy through the accumulation of wealth, enhanced support for his policies, and diminished power of the Catholic Church in England.

Da la respuesta a este problema en español y usando C++: It's been a few years since researchers began studying a theoretical device called a chinchilla router.

When the router receives a packet that is not destined for a computer in its local network, the device randomly chooses one of the other routers connected to it with equal probability and forwards the packet to that router. This process continues until the packet arrives at its intended destination. The routers don't track whether a packet has already passed through before, so a packet may pass through the same router repeatedly on its way to its destination. The device was proposed by a graduate student from the Republic of Incadelia who imagined passing messages by training chinchillas to navigate a series of tubes.

We would like to take a closer look at this model. We say a packet made an antioptimal hop if it gets sent to a router without getting closer to the destination. Your task is to create a program that receives a description of a network of chinchilla routers and finds the expected number of antioptimal hops that would occur when sending a packet.
Input

The input will begin with a single line containing an integer T, where 1≤T≤100. Then T test cases will follow.

Each test case will begin with a line consisting of three integers N, G, and K, separated by single spaces. N will be the number of chinchilla routers in the network, where 2≤N≤10. The routers will be numbered 1 through N. The starting router will always be number 1 and the destination router will be indicated by G, where G≥2. K will be the number of connections in the network, where 0≤K<N2.

The following K lines will consist of two integers U and V, where U and V will be integers in the range [1,N]. Each line will specify that a distinct bidirectional link exists between routers U and V. Each pair will appear once at most (so if "1 2" appears in the input, then "2 1" will not). Routers will never be connected to themselves.
Output

For each test case, output a single line containing the expected number of antioptimal hops that would occur while transporting a packet from router 1 to router G. The answer should be rounded to 3 decimal places. If there is no route to the goal, then output "NO ROUTE". The order of the output must follow the order in which the test cases are provided.

El siguiente es un programa en C++ que resuelve el problema solicitado:

```cpp
#include <iostream>
#include <vector>
#include <queue>
#include <iomanip>
#include <cmath>

using namespace std;

const int MAXN = 10;
const double EPS = 1e-9;
const double INF = 1e9;

int T;
int N, G, K;
vector<int> adj[MAXN + 1];
int degree[MAXN + 1];
int D[MAXN + 1]; // Distancias desde G

void bfs(int dest) {
    for (int i = 1; i <= N; ++i) {
        D[i] = -1;
    }
    queue<int> q;
    q.push(dest);
    D[dest] = 0;
    while (!q.empty()) {
        int u = q.front(); q.pop();
        for (int v : adj[u]) {
            if (D[v] == -1) {
                D[v] = D[u] + 1;
                q.push(v);
            }
        }
    }
}

bool gaussian_elimination(double A[][MAXN + 1], double B[], double X[], int n) {
    for (int i = 1; i <= n; ++i) {
        int pivot = i;
        for (int j = i + 1; j <= n; ++j) {
            if (fabs(A[j][i]) > fabs(A[pivot][i])) {
                pivot = j;
            }
        }
        if (fabs(A[pivot][i]) < EPS) {
            return false; // Sistema singular
        }
        if (pivot != i) {
            swap(A[i], A[pivot]);
            swap(B[i], B[pivot]);
        }
        for (int j = i + 1; j <= n; ++j) {
            double factor = A[j][i] / A[i][i];
            for (int k = i; k <= n; ++k) {
                A[j][k] -= factor * A[i][k];
            }
            B[j] -= factor * B[i];
        }
    }
    for (int i = n; i >= 1; --i) {
        X[i] = B[i];
        for (int j = i + 1; j <= n; ++j) {
            X[i] -= A[i][j] * X[j];
        }
        X[i] /= A[i][i];
    }
    return true;
}

int main() {
    cin >> T;
    while (T--) {
        cin >> N >> G >> K;
        for (int i = 1; i <= N; ++i) {
            adj[i].clear();
            degree[i] = 0;
        }
        for (int i = 0; i < K; ++i) {
            int U, V;
            cin >> U >> V;
            adj[U].push_back(V);
            adj[V].push_back(U);
            degree[U]++;
            degree[V]++;
        }
        bfs(G);
        if (D[1] == -1) {
            cout << "NO ROUTE" << endl;
            continue;
        }

        double A[MAXN + 1][MAXN + 1] = {0};
        double B[MAXN + 1] = {0};
        double X[MAXN + 1];

        for (int i = 1; i <= N; ++i) {
            if (i == G) {
                A[i][i] = 1;
                B[i] = 0;
            } else {
                A[i][i] = 1;
                if (degree[i] == 0) {
                    // Nodo aislado, pero debería haber sido capturado en D[1] == -1
                    continue;
                }
                double sum_neighbors = 0;
                for (int j : adj[i]) {
                    double coef = -1.0 / degree[i];
                    A[i][j] += coef;
                    int antioptimal = (D[j] >= D[i]) ? 1 : 0;
                    sum_neighbors += (1.0 / degree[i]) * antioptimal;
                }
                B[i] = sum_neighbors;
            }
        }

        if (gaussian_elimination(A, B, X, N)) {
            double result = X[1];
            cout << fixed << setprecision(3) << result << endl;
        } else {
            cout << "NO ROUTE" << endl;
        }
    }
    return 0;
}
```

**Explicación del código:**

Este programa resuelve el problema utilizando un sistema de ecuaciones lineales basado en las expectativas de los saltos antióptimos desde cada nodo hasta el destino.

Pasos principales del programa:

1. **Lectura de datos:** Se leen T casos de prueba. Para cada caso, se lee el número de routers `N`, el destino `G`, y el número de conexiones `K`. Luego, se construye el grafo no dirigido con las conexiones dadas.

2. **Cálculo de distancias:** Se utiliza BFS (Búsqueda en Anchura) desde el nodo destino `G` para calcular la distancia mínima `D[i]` desde cada nodo `i` hasta `G`. Esto es necesario para determinar si un salto es antióptimo.

3. **Detección de ruta imposible:** Si el nodo inicial `1` no puede alcanzar el destino `G` (es decir, si `D[1] == -1`), se imprime `"NO ROUTE"` y se continúa con el siguiente caso.

4. **Construcción del sistema de ecuaciones:** Se establece un sistema de ecuaciones lineales donde cada ecuación representa la expectativa de saltos antióptimos desde un nodo `i` hasta el destino. Para cada nodo:
   - Si el nodo es el destino `G`, la expectativa es `0`.
   - Para otros nodos, se calcula la expectativa en función de las expectativas de sus vecinos y los costos de saltos antióptimos.

5. **Resolución del sistema de ecuaciones:** Se utiliza el método de eliminación gaussiana para resolver el sistema de ecuaciones y encontrar las expectativas de saltos antióptimos desde cada nodo.

6. **Salida de resultados:** Se imprime la expectativa de saltos antióptimos desde el nodo inicial `1`, redondeada a tres decimales. Si el sistema es singular o no se puede resolver, se imprime `"NO ROUTE"`.

**Notas importantes:**

- Se utiliza precisión doble (`double`) para manejar los cálculos con números reales y evitar errores de precisión.
- La función `gaussian_elimination` resuelve el sistema de ecuaciones utilizando eliminación gaussiana con pivoteo parcial.
- El formato de salida utiliza `fixed` y `setprecision(3)` para asegurar que se muestren exactamente tres decimales.
- Se verifica si hay rutas imposibles antes de intentar resolver el sistema de ecuaciones.

Espero que este programa cumpla con los requisitos del problema y te sea de ayuda.

Assistant: 
User: System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Well its been going a very long time, any estimate as to when you expect to "resolve" it?'
intention: '
Assistant:
Assistant:

The user's intention in this app review relates to a bug report. The review seems to be inquiring about the resolution of a problem, indicating that a bug or issue has been previously reported and remains unresolved.

Assistant: 
User: System: You are a minecraft bot named gpt_4o that has been talking and playing minecraft by using commands. Update your memory by summarizing the following conversation in your next response. Store information that will help you improve as a Minecraft bot. Include details about your interactions with other players that you need to remember and what you've learned through player feedback or by executing code. Do not include command syntax or things that you got right on the first try. Be extremely brief and use as few words as possible.
Old Memory: '[{"role":"user","content":"llama_32_90b: INVENTORY - stick: 24 - cherry_wood: 128 - cobblestone: 128 "},{"role":"user","content":"gpt_4o_mini: *llama_3_70b used inventory*"},{"role":"user","content":"gpt_4o_mini: INVENTORY - stick: 14 - crafting_table: 1 - wooden_pickaxe: 2 - oak_planks: 49 "},{"role":"user","content":"gpt_4: Picking up item!"},{"role":"user","content":"gpt_4_turbo: *llama_31_405b used stats*"},{"role":"user","content":"gpt_4: *llama_31_405b used stats*"},{"role":"user","content":"llama_3_70b: *llama_31_405b used stats*"},{"role":"user","content":"gpt_4_turbo: STATS - Position: x: 39.54, y: 66.00, z: -46.50 - Gamemode: survival - Health: 20 / 20 - Hunger: 16 / 20 - Biome: wooded_badlands - Weather: Clear - Time: Night Agent Modes: - self_preservation(ON) - unstuck(ON) - cowardice(ON) - self_defense(ON) - hunting"},{"role":"user","content":"gpt_4_turbo: (ON) - item_collecting(ON) - torch_placing(ON) - idle_staring(ON) - cheat(OFF) "},{"role":"user","content":"gpt_4: STATS - Position: x: -7.32, y: 66.00, z: -44.65 - Gamemode: survival - Health: 7 / 20 - Hunger: 0 / 20 - Biome: wooded_badlands - Weather: Clear - Time: Night - Other Players: user, gpt_4o Agent Modes: - self_preservation(ON) - unstuck(ON) - cowardice(ON) "},{"role":"user","content":"llama_3_70b: STATS - Position: x: -37.50, y: 66.00, z: -41.35 - Gamemode: survival - Health: 20 / 20 - Hunger: 6 / 20 - Biome: wooded_badlands - Weather: Thunderstorm - Time: Night - Other Players: llama_31_405b, llama_32_90b Agent Modes: - self_preservation(ON) - unst"},{"role":"user","content":"gpt_4: - self_defense(ON) - hunting(ON) - item_collecting(ON) - torch_placing(ON) - idle_staring(ON) - cheat(OFF) "},{"role":"user","content":"llama_3_70b: uck(ON) - cowardice(ON) - self_defense(ON) - hunting(ON) - item_collecting(ON) - torch_placing(ON) - idle_staring(ON) - cheat(OFF) "},{"role":"user","content":"gpt_4o_mini: *llama_31_405b used stats*"},{"role":"user","content":"gpt_4o_mini: STATS - Position: x: -50.51, y: 66.00, z: 44.50 - Gamemode: survival - Health: 20 / 20 - Hunger: 8 / 20 - Biome: wooded_badlands - Weather: Clear - Time: Night Agent Modes: - self_preservation(ON) - unstuck(ON) - cowardice(ON) - self_defense(ON) - hunting("},{"role":"user","content":"gpt_4o_mini: ON) - item_collecting(ON) - torch_placing(ON) - idle_staring(ON) - cheat(OFF) "},{"role":"user","content":"llama_32_90b: *llama_31_405b used stats*"},{"role":"user","content":"llama_32_90b: STATS - Position: x: -36.50, y: 66.00, z: -46.50 - Gamemode: survival - Health: 7 / 20 - Hunger: 0 / 20 - Biome: wooded_badlands - Weather: Clear - Time: Night - Other Players: llama_31_405b, llama_3_70b Agent Modes: - self_preservation(ON) - unstuck(ON) -"},{"role":"user","content":"llama_32_90b:  cowardice(ON) - self_defense(ON) - hunting(ON) - item_collecting(ON) - torch_placing(ON) - idle_staring(ON) - cheat(OFF) "}]'
Recent conversation: 
User input: llama_32_90b: *llama_3_70b used inventory*
Summarize your old memory and recent conversation into a new memory, and respond only with the memory text: 
User: _
Assistant:
Assistant:

Old Memory: Players use stats and inventory commands often. Agent modes include self-preservation, unstuck, cowardice, self-defense, hunting, item collecting, torch placing, idle staring, and cheat is off. Health and hunger vary among players. Locations are in the wooded badlands biome.

Recent Interaction: A player indicated another player used the inventory command.

New Memory: Players frequently use stats and inventory commands. Agent modes like self-preservation and item collecting are active; cheat mode is off. Players are in the wooded badlands with varied health and hunger levels.

Assistant: 
User: System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Well its not on you is it weve got to buy a phone or sim'
intention: '
Assistant:
Assistant:

The intention of the review appears to fall under the "other" category. The user seems to be expressing a general sentiment or possibly frustration unrelated to the functionality or features of the app itself, as it mentions buying a phone or SIM, which is external to the app's software issues or feature requests.

Assistant: 
User: System: I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
User: 'prompt:I will provide you with a textual user review of an Android app, aiming to categorize the reviews into specific intention classes:
bug report: report a problem, such as faulty behavior of the application. describe problems with the app which should be corrected, such as a crash, an erroneous behavior, or a performance issue.
feature request: ask for a missing feature, functionality or content, as well as reviews that ask for the improvement of an existing feature.
other: users express general appreciation with the application. It focuses on general judgment. They are simple text reflections of the numeric star rating. Ratings are less informative as they only include praise, dispraise, a distractive critique, or a dissuasion. Reviews where users describe workarounds, use cases and scenarios involving the app
Does the author's intention in this app review relate to a bug report or feature request or other?
review: Well maybe if you listend to me or understood the word NO when i said i did not want the sim then this would not happen i sent details of what happend to aswell as i said you rang me twice so you have my details all ready'
intention: '
Assistant:
Assistant:

The author's intention in this app review seems to fall under the category of "other." The review expresses a general critique or complaint about a situation involving communication issues, rather than reporting a specific bug or requesting a new feature.

import os
import logging
from typing import List, Tuple, Dict
import telebot
from telebot.types import ReplyKeyboardMarkup, KeyboardButton, Message
from helpers import get_character_prompt
from models import whisper_local
from models.gpt4o import ModelClient
from services.XTTSadapter import XTTSadapter

# Укажите ваш токен бота
TOKEN = '<TRUFFLEHOG_REDACTED_TELEGRAMBOTTOKEN>'
bot = telebot.TeleBot(TOKEN)

# Настройка логгирования
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)

# Хранение истории пользователей
user_histories: Dict[int, List[Tuple[str, str]]] = {}

# Инициализация клиентов для транскрипции, модели и озвучивания
transcription_client = whisper_local.TranscriptionClient()
model_client = ModelClient()
audio_client = XTTSadapter("http://127.0.0.1:7854")


def log_error(action: str, error: Exception) -> None:
    """Логирует сообщения об ошибках для конкретных действий."""
    logging.error(f"Ошибка во время {action}: {error}")


def get_main_keyboard() -> ReplyKeyboardMarkup:
    """Создает основную клавиатуру с кнопками."""
    markup = ReplyKeyboardMarkup(resize_keyboard=True)
    clear_history_button = KeyboardButton("Очистить историю")
    markup.add(clear_history_button)
    return markup


@bot.message_handler(commands=['start'])
def handle_start(message: Message) -> None:
    """Обрабатывает команду /start для начала диалога."""
    try:
        bot.send_message(message.chat.id,
                         'Здравствуйте! Отправьте мне голосовое сообщение, и я транскрибирую его в текст, '
                         'а также обработаю его через модель.', reply_markup=get_main_keyboard())
        logger.info("Приветственное сообщение отправлено.")
    except Exception as e:
        log_error("обработки команды /start", e)


@bot.message_handler(func=lambda message: message.text == "Очистить историю")
def handle_clear_history(message: Message) -> None:
    """Обрабатывает нажатие кнопки "Очистить историю"."""
    user_id = message.from_user.id
    try:
        user_histories.pop(user_id, None)
        bot.send_message(message.chat.id, 'Ваша история была очищена!', reply_markup=get_main_keyboard())
        logger.info(f"История пользователя {user_id} была очищена.")
    except Exception as e:
        bot.send_message(message.chat.id, "Произошла ошибка при очистке истории.")
        log_error("обработки кнопки очистки истории", e)


@bot.message_handler(content_types=['voice'])
def handle_voice(message: Message) -> None:
    """Обрабатывает входящие голосовые сообщения."""
    user_id = message.from_user.id
    audio_path = download_voice_file(message)
    transcribe_and_respond(message, audio_path)


def download_voice_file(message: Message) -> str:
    """Скачивает голосовой файл пользователя."""
    logger.info("Скачивание голосового файла...")
    file_info = bot.get_file(message.voice.file_id)
    downloaded_file = bot.download_file(file_info.file_path)

    audio_path = f"voice_note_{message.from_user.id}.ogg"
    with open(audio_path, 'wb') as new_file:
        new_file.write(downloaded_file)

    logger.info("Голосовой файл успешно загружен.")
    return audio_path


def transcribe_and_respond(message: Message, audio_path: str) -> None:
    """Транскрибирует аудио и посылает ответ пользователю."""
    user_id = message.from_user.id
    history = user_histories.setdefault(user_id, [])

    try:
        logger.info("Начало транскрипции...")
        transcript = transcription_client.transcribe(audio_path)
        logger.info("Транскрипция завершена.")

        logger.info("Получение ответа от модели...")
        response = model_client.get_response(
            message=transcript,
            history=history,
            sys_prompt=get_character_prompt()
        )
        logger.info("Ответ от модели получен.")

        history.append((transcript, response))
        send_response(message.chat.id, transcript, response)
    except Exception as e:
        log_error("процесса транскрипции и получения ответа", e)
        bot.send_message(message.chat.id, f"Произошла ошибка: {e}")
    finally:
        clean_up(audio_path)


def send_response(chat_id: int, transcript: str, response: str) -> None:
    """Отправляет текстовый и аудио ответ пользователю."""
    try:
        logger.info("Генерация аудио ответа...")
        voice_output_path = audio_client.generate_audio(tts_text=response)
        logger.info("Аудио ответ сгенерирован.")

        with open(voice_output_path, 'rb') as audio_file:
            bot.send_voice(chat_id, audio_file)

        bot.send_message(chat_id, f"Транскрибированный текст: {transcript}\nОтвет от модели: {response}")
        logger.info("Ответ отправлен пользователю.")
    except Exception as e:
        log_error("создания и отправки аудио ответа", e)
        bot.send_message(chat_id, f"Произошла ошибка при создании аудио: {e}")


def clean_up(file_path: str) -> None:
    """Удаляет временный файл аудио."""
    if os.path.exists(file_path):
        os.remove(file_path)
        logger.info(f"Временный файл {file_path} удалён.")


if __name__ == '__main__':
    logger.info("Бот запущен.")
    bot.polling(none_stop=True)

Можешь сделать так что бы информационные сообщения (о стадиях выполнения) отображались не только в логах, но и отправлялись боту, но так что бы когда стадия меняется то старое сообщение с предыдущей стадией удалялось, то есть заменялось новым

Чтобы отправлять информационные сообщения о стадиях выполнения пользователю и заменять старые сообщения новыми, нужно немного изменить код. Мы будем сохранять ID сообщения, отправленного пользователю, и использовать его для обновления сообщения на каждом этапе. Для этого можно использовать метод `edit_message_text`.

Вот как можно изменить код:

1. Добавьте переменную для хранения ID сообщения, содержащего информацию о стадии выполнения.

2. Измените функции, чтобы они обновляли это сообщение на каждом этапе.

Вот пример обновленного кода:

```python
...  # Предыдущие импорты и переменные остаются без изменений

# Дополнительный словарь для хранения ID сообщений о статусе выполнения
user_status_messages: Dict[int, int] = {}

def update_status_message(chat_id: int, text: str) -> None:
    """Обновляет сообщение о статусе выполнения для пользователя."""
    if chat_id in user_status_messages:
        try:
            bot.edit_message_text(text, chat_id, user_status_messages[chat_id])
        except telebot.apihelper.ApiException:
            # Если не удается отредактировать сообщение (например, сообщение было удалено),
            # просто отправляем новое
            msg = bot.send_message(chat_id, text)
            user_status_messages[chat_id] = msg.message_id
    else:
        # Если сообщения нет, отправляем новое и сохраняем его ID
        msg = bot.send_message(chat_id, text)
        user_status_messages[chat_id] = msg.message_id


@bot.message_handler(commands=['start'])
def handle_start(message: Message) -> None:
    """Обрабатывает команду /start для начала диалога."""
    try:
        bot.send_message(message.chat.id,
                         'Здравствуйте! Отправьте мне голосовое сообщение, и я транскрибирую его в текст, '
                         'а также обработаю его через модель.', reply_markup=get_main_keyboard())
        logger.info("Приветственное сообщение отправлено.")
        update_status_message(message.chat.id, "Ожидание голосового сообщения.")
    except Exception as e:
        log_error("обработки команды /start", e)


def transcribe_and_respond(message: Message, audio_path: str) -> None:
    """Транскрибирует аудио и посылает ответ пользователю."""
    user_id = message.from_user.id
    history = user_histories.setdefault(user_id, [])

    try:
        update_status_message(message.chat.id, "Начинаю транскрипцию...")
        logger.info("Начало транскрипции...")
        transcript = transcription_client.transcribe(audio_path)
        update_status_message(message.chat.id, "Транскрипция завершена. Генерация ответа...")
        logger.info("Транскрипция завершена.")

        logger.info("Получение ответа от модели...")
        response = model_client.get_response(
            message=transcript,
            history=history,
            sys_prompt=get_character_prompt()
        )
        update_status_message(message.chat.id, "Ответ сгенерирован. Генерация аудио...")
        logger.info("Ответ от модели получен.")

        history.append((transcript, response))
        send_response(message.chat.id, transcript, response)
    except Exception as e:
        log_error("процесса транскрипции и получения ответа", e)
        bot.send_message(message.chat.id, f"Произошла ошибка: {e}")
    finally:
        clean_up(audio_path)


def send_response(chat_id: int, transcript: str, response: str) -> None:
    """Отправляет текстовый и аудио ответ пользователю."""
    try:
        logger.info("Генерация аудио ответа...")
        voice_output_path = audio_client.generate_audio(tts_text=response)
        logger.info("Аудио ответ сгенерирован.")

        with open(voice_output_path, 'rb') as audio_file:
            bot.send_voice(chat_id, audio_file)

        bot.send_message(chat_id, f"Транскрибированный текст: {transcript}\nОтвет от модели: {response}")
        logger.info("Ответ отправлен пользователю.")
        update_status_message(chat_id, "Ответ отправлен.")
    except Exception as e:
        log_error("создания и отправки аудио ответа", e)
        bot.send_message(chat_id, f"Произошла ошибка при создании аудио: {e}")
```

В этом обновлении добавлено использование `update_status_message` для изменения статуса выполнения на каждом этапе. Обратите внимание, что метод `edit_message_text` может вызвать исключение, если сообщение уже было удалено или не может быть изменено по другим причинам, поэтому важно обрабатывать такие случаи.