From b9d6cde8fe0644c525f98cb8de1bd5271473c57a Mon Sep 17 00:00:00 2001 From: Factorino73 Date: Sat, 4 Jan 2025 16:31:40 +0400 Subject: [PATCH] feat: add voice messages recognition --- main.py | 4 +- poetry.lock | 989 +++++++++++++++++++++++++++++++- pyproject.toml | 11 +- src/bot/telegram_userbot.py | 57 +- src/utils/speech_recognition.py | 107 ++++ 5 files changed, 1152 insertions(+), 16 deletions(-) create mode 100644 src/utils/speech_recognition.py diff --git a/main.py b/main.py index adb1c97..1638d7a 100644 --- a/main.py +++ b/main.py @@ -1,6 +1,6 @@ from src.integrations.gigachat_api_client import GigaChatClient from src.bot.telegram_userbot import TelegramUserBot -from src.utils.logging import setup_logging +from src.utils import logging from src.core.configuration import config @@ -9,7 +9,7 @@ def main() -> None: Entry point for starting the Telegram user bot. 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"2e2d893f1d598d297ffc24e9c1815f7e0e8d78a10c56d7594128a25b612258b7" diff --git a/pyproject.toml b/pyproject.toml index 6496253..6255341 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -6,7 +6,7 @@ authors = ["Factorino73 "] readme = "README.md" [tool.poetry.dependencies] -python = "^3.13" +python = "^3.12" pyrogram = "^2.0.106" tgcrypto = "^1.2.5" setuptools = "^75.6.0" @@ -14,6 +14,15 @@ wheel = "^0.45.1" langchain-gigachat = "^0.3.2" punq = "^0.7.0" pytest = "^8.3.4" +speechrecognition = "^3.13.0" +typing-extensions = "^4.12.2" +pydub = "^0.25.1" +numpy = "2.0.2" +soundfile = "^0.13.0" +torch = "^2.5.1" +llvmlite = "0.43.0" +numba = "0.60.0" +openai-whisper = "^20240930" [build-system] diff --git a/src/bot/telegram_userbot.py b/src/bot/telegram_userbot.py index 4084c56..54ebe65 100644 --- a/src/bot/telegram_userbot.py +++ b/src/bot/telegram_userbot.py @@ -1,5 +1,6 @@ import logging from logging import Logger +from tempfile import NamedTemporaryFile from typing import Optional from pyrogram import filters @@ -8,6 +9,7 @@ from pyrogram.types import Message from pyrogram.enums import ChatAction from src.integrations.gigachat_api_client import GigaChatClient +from src.utils import speech_recognition class TelegramUserBot: @@ -41,7 +43,8 @@ class TelegramUserBot: Registers the message handlers for the bot. """ self.logger.debug("Registering handlers.") - self.app.on_message(filters.command("ai") & filters.text)(self.handle_ai_command) + self.app.on_message(filters.command("ai"))(self.handle_ai_command) + self.app.on_message(filters.command("voice"))(self.handle_voice_command) async def handle_ai_command(self, client: Client, message: Message) -> None: """ @@ -62,12 +65,12 @@ class TelegramUserBot: if not command_arg: self.logger.warning(f"No argument or replied message provided for /ai command by chat_id={message.chat.id}") - await message.reply_text("Please provide a message after /ai or reply to a message.") + await message.reply("Please provide a message after /ai or reply to a message.", quote=True) return # Send an initial message indicating processing self.logger.debug(f"Processing request for chat_id={message.chat.id}") - processing_message: Message = await message.reply_text(f"{self.gigachat_client.model_name} is processing your request...") + processing_message: Message = await message.reply(f"{self.gigachat_client.model_name} is processing your request...", quote=True) try: # Start typing animation @@ -92,6 +95,54 @@ class TelegramUserBot: # Handle any errors and notify the user await processing_message.edit_text("An error occurred while processing your request.") + async def handle_voice_command(self, client: Client, message: Message) -> None: + """ + Handle the /voice command to convert a voice message to text. + + Args: + client (Client): The Pyrogram Client instance. + message (Message): The incoming message containing the /voice command. + """ + self.logger.info(f"Received /voice command from chat_id={message.chat.id}.") + + # Check if the reply is to a voice message + if not (message.reply_to_message and message.reply_to_message.voice): + self.logger.warning("The /voice command was not used in reply to a voice message.") + await message.reply("Please reply to a voice message with the /voice command.", quote=True) + return + + # Send an initial message indicating processing + processing_message: Message = await message.reply_to_message.reply("Converting voice message to text...", quote=True) + + with NamedTemporaryFile(delete=False) as temp_file: + file_path = await client.download_media(message.reply_to_message.voice.file_id, file_name=temp_file.name) + self.logger.info(f"Voice message downloaded to {file_path}.") + + try: + # Attempt to convert voice to text + text: str = speech_recognition.convert_voice_to_text(file_path) # type: ignore + self.logger.info("Voice message successfully converted to text.") + + # Format the text for sending + formatted_text: str = ( + "Conversion Result:" + "
"
+                    f"{text}"
+                    "
" + ) + + # Edit the initial processing message with the converted text + await processing_message.edit_text(formatted_text) + except FileNotFoundError: + self.logger.error("File not found during processing.", exc_info=True) + await processing_message.edit_text("An error occurred while processing the voice message. Please try again later.") + except RuntimeError: + self.logger.error("A runtime error occurred.", exc_info=True) + await processing_message.edit_text("An error occurred while processing the voice message. Please try again later.") + except Exception: + self.logger.error("An unexpected error occurred.", exc_info=True) + await processing_message.edit_text("An error occurred while processing the voice message. Please try again later.") + def run(self) -> None: """ Starts the bot. diff --git a/src/utils/speech_recognition.py b/src/utils/speech_recognition.py new file mode 100644 index 0000000..e5a4aae --- /dev/null +++ b/src/utils/speech_recognition.py @@ -0,0 +1,107 @@ +import os +import logging +from logging import Logger + +from pydub import AudioSegment +import speech_recognition as sr +from speech_recognition.audio import AudioData + + +# Configure logging +logger: Logger = logging.getLogger(__name__) + +def convert_to_wav(file_path: str) -> str: + """ + Converts an audio file to WAV format if it is not already in WAV format. + + Args: + file_path (str): The path to the audio file to be converted. + + Returns: + str: The path to the converted or original WAV file. + + Raises: + RuntimeError: If the conversion fails for any reason. + """ + if file_path.lower().endswith('.wav'): + logger.info(f"File {file_path} is already in WAV format.") + return file_path + + try: + logger.info(f"Converting {file_path} to WAV format.") + audio = AudioSegment.from_file(file_path) + wav_path: str = f"{os.path.splitext(file_path)[0]}.wav" + audio.export(wav_path, format="wav") + logger.info(f"File converted to {wav_path}.") + return wav_path + except Exception as e: + logger.error(f"Failed to convert file to WAV: {e}") + raise RuntimeError(f"Failed to convert file to WAV: {e}") + +def get_audio_duration(file_path: str) -> float: + """ + Retrieves the duration of an audio file in seconds. + + Args: + file_path (str): The path to the audio file. + + Returns: + float: The duration of the audio file in seconds. + + Raises: + RuntimeError: If unable to get the file duration. + """ + try: + logger.info(f"Getting duration of {file_path}.") + audio = AudioSegment.from_file(file_path) + duration: float = len(audio) / 1000 # Duration in seconds + logger.info(f"Duration of {file_path}: {duration} seconds.") + return duration + except Exception as e: + logger.error(f"Failed to get file duration: {e}") + raise RuntimeError(f"Failed to get file duration: {e}") + +def convert_voice_to_text(file_path: str, language='ru') -> str: + """ + Converts speech from an audio file to text using OpenAI speech recognition service. + + Args: + file_path (str): The path to the audio file to be processed. + language (str): The language code for speech recognition (default is 'ru'). + + Returns: + str: The transcribed text if recognition is successful. + + Raises: + RuntimeError: For any errors encountered during processing. + """ + # Check if the file exists + if not os.path.exists(file_path): + logger.error(f"File {file_path} does not exist.") + raise FileNotFoundError("File does not exist.") + + # Convert the file to WAV format if necessary + try: + wav_path: str = convert_to_wav(file_path) + except RuntimeError as e: + logger.error(f"Error converting to WAV: {e}") + raise RuntimeError(f"Error converting to WAV: {e}") + + recognizer = sr.Recognizer() + + try: + logger.info(f"Processing file {wav_path} ({get_audio_duration(wav_path)} sec) for speech recognition.") + with sr.AudioFile(wav_path) as source: + audio_data: AudioData = recognizer.record(source) + text = recognizer.recognize_whisper(audio_data, language=language, model='medium') + logger.info("Speech recognition successful.") + return text # type: ignore + except sr.UnknownValueError: + logger.warning(f"Speech in {wav_path} could not be recognized.") + raise RuntimeError("Speech could not be recognized.") + except sr.RequestError as e: + logger.error(f"Request error from the recognition service: {e}") + raise RuntimeError(f"Request error from the recognition service: {e}") + except Exception as e: + logger.error(f"An unexpected error occurred: {e}") + raise RuntimeError(f"An unexpected error occurred: {e}")