kopia lustrzana https://codeberg.org/pluja/openai-telegram-bot
Update to a much better code and features
pluja
rodzic
6502efa131
commit
486a6157a9
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@ -0,0 +1,14 @@
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OPENAI_API_KEY=your-openai-api-key
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OPENAI_MODEL=gpt-3.5-turbo
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CHATGPT_SYSTEM_PROMPT=You are a helpful assistant. Always use Markdown for formatting.
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CHATGPT_MAX_USER_CONTEXT=5
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CHATGPT_TEMPERATURE=1.0
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# Use Whisper transcript from voice message with ChatGPT
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WHISPER_TO_CHAT=1
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# Use Google TTS for speech to text
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ENABLE_GOOGLE_TTS=0
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BOT_TOKEN=your-telegram-bot-token
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BOT_ALLOWED_USERS= XXXX,YYYY # Comma separated list of Telegram user IDs
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12
Dockerfile
12
Dockerfile
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@ -1,8 +1,14 @@
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FROM python:3-bullseye
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FROM python:3.10-slim
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RUN apt update && apt install -y ffmpeg
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RUN apt update && apt install -y ffmpeg libespeak1
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WORKDIR /app
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COPY ./*.py /app
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COPY ./main.py /app
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COPY ./database.py /app
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COPY ./requirements.txt /app
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RUN mkdir db_data
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RUN pip install --upgrade pip
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RUN pip install -r requirements.txt
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CMD [ "python3", "/app/main.py" ]
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16
README.md
16
README.md
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@ -7,16 +7,20 @@ A telegram bot to interact with OpenAI API. You can:
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- Generate images with DALL-E: `/imagine`
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- Chat with ChatGPT: Just chat!
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- Transcribe audio and video to text: Just send a voice message or a video file!
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- Voice chat with ChatGPT:
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- Send voice message.
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- Receive voice messages.
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- Use GoogleTTS or 100% local Espeak (more robotic).
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Other features include:
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- Talk to ChatGPT with audio transcriptions (whisper).
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- Clear ChatGPT context history (to save tokens).
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- Reply to any message to use it as context for ChatGPT.
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- Per-user context and usage metrics and spent $.
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- No database, data is saved in-memory.
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- A drawback of this is that data is reset on each docker restart. Will look into solutions for this.
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- Lightweight: a single python file.
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- Per-user context.
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- See usage metrics and spent $.
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- Persistent data with sqlite3 database.
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- Lightweight: few lines of code.
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[Jump to selfhosting guide](#self-hosting)
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@ -43,13 +47,15 @@ Self hosting this chatbot is pretty easy. You just need to follow this steps:
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4. Setup the bot:
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1. Clone this repo.
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2. Rename the `example.docker-compose.yml` file to `docker-compose.yml`.
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3. Edit the environment variables:
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2. Rename the `example.env` file to `.env`.
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3. Edit the environment variables from the `.env` file:
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1. Set your OPENAI_TOKEN.
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2. Set your BOT_TOKEN.
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3. Set your ALLOWED_USERS (comma separated user ids). Set it to `*` to allow all users.
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4. Set the SYSTEM_PROMPT for ChatGPT. This is always instructed to ChatGPT as the system.
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5. Optional: Edit the MAX_CONTEXT. This variable sets the number of messages that will be sent to ChatGPT API as context for the conversation.
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6. WHISPER_TO_CHAT allows you to choose wether Whisper transcripts should be instructed to ChatGPT or not.
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6. ENABLE_GOOGLE_TTS the TTS service will be provided by GoogleTTS, producing more natural voices.
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4. Build and start the bot: `docker compose up --build -d`.
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5. Enjoy!
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@ -2,7 +2,7 @@ import sqlite3
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import json
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def init_database():
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conn = sqlite3.connect("users.db")
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conn = sqlite3.connect("/app/db_data/users.db")
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c = conn.cursor()
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c.execute("""
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CREATE TABLE IF NOT EXISTS users (
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@ -1,7 +1,8 @@
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version: '3.9'
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services:
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chatbot:
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build: .
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build:
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dockerfile: Dockerfile
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environment:
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OPENAI_API_KEY: "XXX"
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OPENAI_MODEL: gpt-3.5-turbo
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541
main.py
541
main.py
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@ -1,26 +1,24 @@
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import os
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import openai
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import logging
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import database
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from dotenv import load_dotenv
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from pydub import AudioSegment
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from telegram import Update
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import os
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import tempfile
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from functools import wraps
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from telegram.constants import ChatAction
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from functools import wraps
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from telegram.ext import ApplicationBuilder, CommandHandler, ContextTypes, MessageHandler, filters, CallbackQueryHandler
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from telegram import InlineKeyboardButton, InlineKeyboardMarkup
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from io import BytesIO
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language_models = {
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"en": "tts_models/multilingual/multi-dataset/your_tts",
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"fr": "tts_models/multilingual/multi-dataset/your_tts",
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"pt": "tts_models/multilingual/multi-dataset/your_tts",
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"pt-br": "tts_models/multilingual/multi-dataset/your_tts",
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"es": "tts_models/es/css10/vits",
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}
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import openai
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from aiogram import Bot, Dispatcher, types
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from aiogram.contrib.middlewares.logging import LoggingMiddleware
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from aiogram.types import InlineKeyboardButton, InlineKeyboardMarkup, ParseMode
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from aiogram.types.input_file import InputFile
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from aiogram.utils import executor
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from dotenv import load_dotenv
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from gtts import gTTS
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import pyttsx3
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from pydub import AudioSegment
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import database
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logging.basicConfig(
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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format='%(asctime)s - %(levelname)s - %(message)s',
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level=logging.INFO
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)
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logger = logging.getLogger(__name__)
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@ -30,16 +28,23 @@ load_dotenv()
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if os.environ.get("OPENAI_API_KEY") is None:
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print("OpenAI_API_KEY is not set in.env file or OPENAI_API_KEY environment variable is not set")
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exit(1)
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ALLOWED_USERS=os.environ.get("BOT_ALLOWED_USERS").split(",")
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SYSTEM_PROMPT=os.environ.get("CHATGPT_SYSTEM_PROMPT")
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TEMPERATURE=os.environ.get("CHATGPT_TEMPERATURE")
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MODEL=os.environ.get("OPENAI_MODEL")
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WHISPER_TO_CHAT=bool(int(os.environ.get("WHISPER_TO_CHAT")))
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MAX_USER_CONTEXT=int(os.environ.get("CHATGPT_MAX_USER_CONTEXT"))
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BOT_TOKEN = os.getenv("BOT_TOKEN")
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bot = Bot(token=BOT_TOKEN)
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dp = Dispatcher(bot)
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dp.middleware.setup(LoggingMiddleware())
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ALLOWED_USERS = os.environ.get("BOT_ALLOWED_USERS").split(",")
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SYSTEM_PROMPT = os.environ.get("CHATGPT_SYSTEM_PROMPT")
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TEMPERATURE = os.environ.get("CHATGPT_TEMPERATURE")
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MODEL = os.environ.get("OPENAI_MODEL")
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WHISPER_TO_CHAT = bool(int(os.environ.get("WHISPER_TO_CHAT")))
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ENABLE_GOOGLE_TTS = bool(int(os.environ.get("ENABLE_GOOGLE_TTS")))
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MAX_USER_CONTEXT = int(os.environ.get("CHATGPT_MAX_USER_CONTEXT"))
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openai.api_key = os.environ.get("OPENAI_API_KEY")
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async def getUserData(chat_id):
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# Initialize user if not present
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async def getUserData(chat_id):
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user_data = database.get_user(chat_id)
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if not user_data:
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user_data = {
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@ -56,28 +61,79 @@ async def getUserData(chat_id):
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user_data = database.get_user(chat_id)
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return user_data
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def generate_settings_markup(chat_id: str) -> InlineKeyboardMarkup:
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keyboard = [
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[
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InlineKeyboardButton("Increase Temperature", callback_data=f"setting_inc_temp_{chat_id}"),
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InlineKeyboardButton("Decrease Temperature", callback_data=f"setting_dec_temp_{chat_id}")
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],
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[
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InlineKeyboardButton("Enable Whisper", callback_data=f"setting_en_whisper_{chat_id}"),
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InlineKeyboardButton("Disable Whisper", callback_data=f"setting_dis_whisper_{chat_id}")
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],
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[
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InlineKeyboardButton("Enable assistant voice", callback_data=f"setting_en_voice_{chat_id}"),
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InlineKeyboardButton("Disable assistant voice", callback_data=f"setting_dis_voice_{chat_id}")
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],
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[
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InlineKeyboardButton("Increase Context", callback_data=f"setting_inc_context_{chat_id}"),
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InlineKeyboardButton("Decrease Context", callback_data=f"setting_dec_context_{chat_id}")
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]
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]
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return InlineKeyboardMarkup(inline_keyboard=keyboard)
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async def text_to_voice(text: str) -> BytesIO:
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if ENABLE_GOOGLE_TTS:
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tts = gTTS(text)
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with tempfile.NamedTemporaryFile(mode='wb', suffix='.mp3', delete=False) as mp3_file:
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temp_mp3_filename = mp3_file.name
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tts.save(temp_mp3_filename)
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else:
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engine = pyttsx3.init() # PyTTSX3 Engine
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engine.setProperty('rate', 150)
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with tempfile.NamedTemporaryFile(mode='wb', suffix='.mp3', delete=False) as mp3_file:
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temp_mp3_filename = mp3_file.name
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engine.save_to_file(text, temp_mp3_filename)
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engine.runAndWait()
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mp3_audio = AudioSegment.from_file(temp_mp3_filename, format="mp3")
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with tempfile.NamedTemporaryFile(mode="wb", suffix=".ogg", delete=False) as ogg_file:
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temp_ogg_filename = ogg_file.name
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mp3_audio.export(temp_ogg_filename, format="ogg")
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with open(temp_ogg_filename, "rb") as audio_file:
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_ = InputFile(audio_file)
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voice_data = BytesIO(audio_file.read())
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os.remove(temp_mp3_filename)
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os.remove(temp_ogg_filename)
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voice_data.seek(0)
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return voice_data
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def restricted(func):
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@wraps(func)
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async def wrapped(update, context, *args, **kwargs):
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if str(update.effective_user.id) not in ALLOWED_USERS:
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async def wrapped(message, *args, **kwargs):
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user_id = str(message.chat.id)
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if user_id not in ALLOWED_USERS:
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if "*" != ALLOWED_USERS[0]:
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print(f"Unauthorized access denied for {update.effective_user.id}.")
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print(f"Unauthorized access denied for {user_id}.")
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return
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else:
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_ = await getUserData(update.effective_chat.id)
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return await func(update, context, *args, **kwargs)
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_ = await getUserData(user_id)
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return await func(message, *args, **kwargs)
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return wrapped
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async def messageGPT(text: str, chat_id: str, user_name="User"):
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user_data = await getUserData(chat_id)
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# Update context
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async def messageGPT(text: str, chat_id: str, user_name="User"):
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await bot.send_chat_action(chat_id, action=types.ChatActions.TYPING)
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user_data = await getUserData(chat_id)
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user_data['context'].append({"role": "user", "content": text})
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if len(user_data['context']) > user_data["options"]["max-context"]:
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user_data['context'].pop(0)
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# Interact with ChatGPT API and stream the response
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response = None
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try:
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response = openai.ChatCompletion.create(
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model=MODEL,
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@ -86,164 +142,41 @@ async def messageGPT(text: str, chat_id: str, user_name="User"):
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)
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except Exception as e:
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print(e)
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return "There was a problem with OpenAI, so I can't answer you."
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return f"There was a problem with OpenAI, so I can't answer you: \n\n{e}"
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# Initialize variables for streaming
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assistant_message = ""
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if 'choices' in response:
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assistant_message = response['choices'][0]['message']['content']
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else:
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assistant_message = "There was a problem with OpenAI. Maybe your prompt is forbidden? They like to censor a lot!"
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assistant_message = response.get('choices', [{}])[0].get('message', {"content": None}).get("content", "There was a problem with OpenAI. Maybe your prompt is forbidden? They like to censor a lot!")
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# Update context
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user_data['context'].append({"role": "assistant", "content": assistant_message})
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if len(user_data['context']) > user_data["options"]["max-context"]:
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user_data['context'].pop(0)
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# Update usage
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user_data["usage"]['chatgpt'] += int(response['usage']['total_tokens'])
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# Update the user data in the database
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user_data["usage"]['chatgpt'] += int(response.get('usage', {"total_tokens": 0})["total_tokens"])
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database.update_user(chat_id, user_data)
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return assistant_message
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@restricted
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async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
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_ = await getUserData(update.effective_chat.id)
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await context.bot.send_message(chat_id=update.effective_chat.id, text="Hello, how can I assist you today?")
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@restricted
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async def imagine(update: Update, context: ContextTypes.DEFAULT_TYPE):
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user_data = await getUserData(update.effective_chat.id)
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user_data["usage"]['dalle'] += 1
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database.update_user(update.effective_chat.id, user_data)
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await context.bot.send_chat_action(chat_id=update.effective_chat.id, action=ChatAction.TYPING)
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response = openai.Image.create(
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prompt=update.message.text,
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n=1,
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size="1024x1024"
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)
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try:
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image_url = response['data'][0]['url']
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await context.bot.send_message(chat_id=update.effective_chat.id, text=image_url)
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except Exception as e:
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print(e)
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await context.bot.send_message(chat_id=update.effective_chat.id, text="Error generating. Your prompt may contain text that is not allowed by OpenAI safety system.")
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@dp.message_handler(commands=['start'])
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@restricted
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async def attachment(update: Update, context: ContextTypes.DEFAULT_TYPE):
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# Initialize variables
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chat_id = update.effective_chat.id
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await context.bot.send_chat_action(chat_id=chat_id, action=ChatAction.TYPING)
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async def start(message: types.Message):
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_ = await getUserData(message.chat.id)
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await message.reply("Hello, how can I assist you today?")
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# Get user data or initialize if not present
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@dp.message_handler(commands=['clear'], content_types=['text'])
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@restricted
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async def clear(message: types.Message) -> None:
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chat_id = str(message.chat.id)
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user_data = await getUserData(chat_id)
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#users[f"{chat_id}"]["usage"]['whisper'] = 0
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transcript = {'text': ''}
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audioMessage = False
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# Check if the attachment is a voice message
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if update.message.voice:
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user_data["usage"]['whisper'] += update.message.voice.duration
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file_id = update.message.voice.file_id
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file_format = "ogg"
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audioMessage = True
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# Check if the attachment is a video
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elif update.message.video:
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user_data["usage"]['whisper'] += update.message.video.duration
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file_id = update.message.video.file_id
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file_format = "mp4"
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# Check if the attachment is an audio file
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elif update.message.audio:
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user_data["usage"]['whisper'] += update.message.audio.duration
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file_id = update.message.audio.file_id
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file_format = "mp3"
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else:
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await context.bot.send_message(chat_id=chat_id, text="Can't handle such file. Reason: unknown.")
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return
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# Download the file and convert it if necessary
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file = await context.bot.get_file(file_id)
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user_id = update.effective_user.id
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await file.download_to_drive(f"{user_id}.{file_format}")
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if file_format == "ogg":
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ogg_audio = AudioSegment.from_file(f"{user_id}.ogg", format="ogg")
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ogg_audio.export(f"{user_id}.mp3", format="mp3")
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os.remove(f"{user_id}.ogg")
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file_format = "mp3"
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# Transcribe the audio
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with open(f"{user_id}.{file_format}", "rb") as audio_file:
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try:
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transcript = openai.Audio.transcribe("whisper-1", audio_file)
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except Exception as e:
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print(e)
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await context.bot.send_message(chat_id=chat_id, text="Transcript failed.")
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os.remove(f"{user_id}.{file_format}")
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return
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os.remove(f"{user_id}.{file_format}")
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# Send the transcript
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if transcript['text'] == "":
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transcript['text'] = "[Silence]"
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if audioMessage and user_data["options"]["whisper_to_chat"]:
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chatGPT_response = await messageGPT(transcript['text'], str(chat_id), update.effective_user.name)
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transcript['text'] = "> " + transcript['text'] + "\n\n" + chatGPT_response
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# Check if the transcript length is longer than 4095 characters
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if len(transcript['text']) > 4095:
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# Split the transcript into multiple messages without breaking words in half
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max_length = 4096
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words = transcript['text'].split()
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current_message = ""
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for word in words:
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if len(current_message) + len(word) + 1 > max_length:
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await context.bot.send_message(chat_id=chat_id, text=current_message)
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current_message = ""
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current_message += f"{word} "
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if current_message:
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await context.bot.send_message(chat_id=chat_id, text=current_message)
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else:
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await context.bot.send_message(chat_id=chat_id, text=transcript['text'])
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# Update user data in the database
|
||||
database.update_user(str(chat_id), user_data)
|
||||
|
||||
@restricted
|
||||
async def chat(update: Update, context: ContextTypes.DEFAULT_TYPE):
|
||||
chat_id = str(update.effective_chat.id)
|
||||
await context.bot.send_chat_action(chat_id=chat_id, action=ChatAction.TYPING)
|
||||
|
||||
# Check if replying and add context
|
||||
if hasattr(update.message.reply_to_message, "text"):
|
||||
user_prompt = f"In reply to: '{update.message.reply_to_message.text}' \n---\n{update.message.text}"
|
||||
else:
|
||||
user_prompt = update.message.text
|
||||
|
||||
# Use messageGPT function to get the response
|
||||
assistant_message = await messageGPT(user_prompt, chat_id, update.effective_user.name)
|
||||
await context.bot.send_message(chat_id=update.effective_chat.id, text=assistant_message)
|
||||
|
||||
@restricted
|
||||
async def clear(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
|
||||
user_data = await getUserData(update.effective_chat.id)
|
||||
if user_data:
|
||||
user_data["context"] = []
|
||||
database.update_user(str(update.effective_chat.id), user_data)
|
||||
print(f"Cleared context for {update.effective_user.name}")
|
||||
await update.message.reply_text('Your message context history was cleared.')
|
||||
|
||||
database.update_user(chat_id, user_data)
|
||||
print(f"Cleared context for {message.from_user.full_name}")
|
||||
await message.reply("Your message context history was cleared.")
|
||||
|
||||
@dp.message_handler(commands=['usage'])
|
||||
@restricted
|
||||
async def usage(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
|
||||
chat_id = str(update.effective_chat.id)
|
||||
async def usage(message: types.Message) -> None:
|
||||
chat_id = str(message.chat.id)
|
||||
user_data = database.get_user(chat_id)
|
||||
user_usage = user_data["usage"]
|
||||
total_usage = database.get_total_usage()
|
||||
|
|
@ -253,7 +186,7 @@ async def usage(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
|
|||
|
||||
user_percentage = (user_spent / total_spent) * 100 if total_spent > 0 else 0
|
||||
|
||||
info_message = f"""User: {update.effective_user.name}
|
||||
info_message = f"""User: {message.from_user.full_name}
|
||||
- Used ~{user_usage["chatgpt"]} tokens with ChatGPT.
|
||||
- Generated {user_usage["dalle"]} images with DALL-E.
|
||||
- Transcribed {round(float(user_usage["whisper"]) / 60.0, 2)}min with Whisper.
|
||||
|
|
@ -267,123 +200,165 @@ Total usage:
|
|||
|
||||
Total spent: ${total_spent}"""
|
||||
|
||||
await context.bot.send_message(chat_id=update.effective_chat.id, text=info_message)
|
||||
await message.reply(info_message)
|
||||
|
||||
@dp.message_handler(lambda message: message.chat.type == types.ChatType.PRIVATE, content_types=['text'], regexp='^/imagine')
|
||||
@restricted
|
||||
async def imagine(message: types.Message):
|
||||
await bot.send_chat_action(message.chat.id, action=types.ChatActions.TYPING)
|
||||
user_data = await getUserData(message.chat.id)
|
||||
user_data["usage"]['dalle'] += 1
|
||||
database.update_user(message.chat.id, user_data)
|
||||
|
||||
response = openai.Image.create(
|
||||
prompt=message.text,
|
||||
n=1,
|
||||
size="1024x1024"
|
||||
)
|
||||
try:
|
||||
image_url = response['data'][0]['url']
|
||||
await message.reply(image_url)
|
||||
except Exception as e:
|
||||
print(e)
|
||||
await message.reply("Error generating. Your prompt may contain text that is not allowed by OpenAI safety system.")
|
||||
|
||||
@dp.message_handler(content_types=['photo', 'video', 'audio', 'voice'])
|
||||
@restricted
|
||||
async def attachment(message: types.Message):
|
||||
chat_id = message.chat.id
|
||||
user_data = await getUserData(chat_id)
|
||||
await bot.send_chat_action(chat_id, action=types.ChatActions.TYPING)
|
||||
|
||||
|
||||
transcript = {'text': ''}
|
||||
|
||||
audioMessage = False
|
||||
|
||||
if message.voice:
|
||||
user_data["usage"]['whisper'] += message.voice.duration
|
||||
file_id = message.voice.file_id
|
||||
file_format = "ogg"
|
||||
audioMessage = True
|
||||
elif message.video:
|
||||
user_data["usage"]['whisper'] += message.video.duration
|
||||
file_id = message.video.file_id
|
||||
file_format = "mp4"
|
||||
elif message.audio:
|
||||
user_data["usage"]['whisper'] += message.audio.duration
|
||||
file_id = message.audio.file_id
|
||||
file_format = "mp3"
|
||||
else:
|
||||
await message.reply("Can't handle such file. Reason: unknown.")
|
||||
return
|
||||
|
||||
file = await bot.get_file(file_id)
|
||||
user_id = message.chat.full_name
|
||||
await file.download(f"{user_id}.{file_format}")
|
||||
|
||||
if file_format == "ogg":
|
||||
ogg_audio = AudioSegment.from_file(f"{user_id}.ogg", format="ogg")
|
||||
ogg_audio.export(f"{user_id}.mp3", format="mp3")
|
||||
os.remove(f"{user_id}.ogg")
|
||||
file_format = "mp3"
|
||||
|
||||
with open(f"{user_id}.{file_format}", "rb") as audio_file:
|
||||
try:
|
||||
await bot.send_chat_action(chat_id, action=types.ChatActions.TYPING)
|
||||
transcript = openai.Audio.transcribe("whisper-1", audio_file)
|
||||
except Exception as e:
|
||||
print(e)
|
||||
await message.reply("Transcript failed.")
|
||||
os.remove(f"{user_id}.{file_format}")
|
||||
return
|
||||
|
||||
os.remove(f"{user_id}.{file_format}")
|
||||
|
||||
if transcript['text'] == "":
|
||||
transcript['text'] = "[Silence]"
|
||||
|
||||
chatGPT_response = False
|
||||
if audioMessage and user_data["options"]["whisper_to_chat"]:
|
||||
chatGPT_response = await messageGPT(transcript['text'], str(chat_id), message.from_user.full_name)
|
||||
transcript['text'] = "> " + transcript['text'] + "\n\n" + chatGPT_response
|
||||
|
||||
await message.reply(transcript['text'])
|
||||
if user_data["options"]["assistant_voice_chat"] and chatGPT_response:
|
||||
await bot.send_chat_action(chat_id, action=types.ChatActions.TYPING)
|
||||
voice_data = await text_to_voice(chatGPT_response)
|
||||
await message.reply_voice(voice_data)
|
||||
|
||||
database.update_user(str(chat_id), user_data)
|
||||
|
||||
@restricted
|
||||
async def _help(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
|
||||
help_message="""Here's what you can do:\n\n
|
||||
- /imagine <prompt> to generate an image with DALL-E\n- Send a message to chat with ChatGPT\n
|
||||
- Send an audio to transcribe to text with Whisper.\n\n
|
||||
- /settings To change your settings.\n
|
||||
- /usage To get your usage statistics.\n
|
||||
- /clear To clear you chatgpt message context (start a new chat)."""
|
||||
await context.bot.send_message(chat_id=update.effective_chat.id, text=help_message)
|
||||
|
||||
# Function to generate the settings buttons
|
||||
def generate_settings_markup(chat_id: str) -> InlineKeyboardMarkup:
|
||||
keyboard = [
|
||||
[
|
||||
InlineKeyboardButton("Increase Temperature", callback_data=f"setting_increase_temperature_{chat_id}"),
|
||||
InlineKeyboardButton("Decrease Temperature", callback_data=f"setting_decrease_temperature_{chat_id}")
|
||||
],
|
||||
[
|
||||
InlineKeyboardButton("Enable Whisper to Chat", callback_data=f"setting_enable_whisper_{chat_id}"),
|
||||
InlineKeyboardButton("Disable Whisper to Chat", callback_data=f"setting_disable_whisper_{chat_id}")
|
||||
],
|
||||
[
|
||||
InlineKeyboardButton("Enable assistant voice", callback_data=f"setting_enable_voice_{chat_id}"),
|
||||
InlineKeyboardButton("Disable assistant voice", callback_data=f"setting_disable_voice_{chat_id}")
|
||||
],
|
||||
[
|
||||
InlineKeyboardButton("Increase Context", callback_data=f"setting_increase_context_{chat_id}"),
|
||||
InlineKeyboardButton("Decrease Context", callback_data=f"setting_decrease_context_{chat_id}")
|
||||
]
|
||||
]
|
||||
return InlineKeyboardMarkup(keyboard)
|
||||
|
||||
@restricted
|
||||
async def settings(update: Update, context: ContextTypes.DEFAULT_TYPE):
|
||||
chat_id = update.effective_chat.id
|
||||
@dp.message_handler(commands=['settings'])
|
||||
async def settings(message: types.Message):
|
||||
chat_id = str(message.chat.id)
|
||||
settings_markup = generate_settings_markup(chat_id)
|
||||
await context.bot.send_message(chat_id=chat_id, text="Settings:", reply_markup=settings_markup)
|
||||
await message.reply(text='Settings:', reply_markup=settings_markup)
|
||||
|
||||
async def settings_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
|
||||
user_data = await getUserData(update.effective_chat.id)
|
||||
query = update.callback_query
|
||||
action, chat_id = query.data.rsplit("_", 1)
|
||||
|
||||
# Temperature
|
||||
if action.startswith("setting_increase_temperature"):
|
||||
user_data["options"]["temperature"] = min(user_data["options"]["temperature"] + 0.1, 1)
|
||||
elif action.startswith("setting_decrease_temperature"):
|
||||
user_data["options"]["temperature"] = max(user_data["options"]["temperature"] - 0.1, 0)
|
||||
|
||||
# Whisper to GPT
|
||||
elif action.startswith("setting_enable_whisper"):
|
||||
print(f"enabling whisper for {chat_id}")
|
||||
user_data["options"]["whisper_to_chat"] = True
|
||||
elif action.startswith("setting_disable_whisper"):
|
||||
print(f"disabling whisper for {chat_id}")
|
||||
user_data["options"]["whisper_to_chat"] = False
|
||||
|
||||
# TTS
|
||||
elif action.startswith("setting_enable_voice"):
|
||||
print(f"enabling voice for {chat_id}")
|
||||
user_data["options"]["assistant_voice_chat"] = True
|
||||
elif action.startswith("setting_disable_voice"):
|
||||
print(f"disabling voice for {chat_id}")
|
||||
user_data["options"]["assistant_voice_chat"] = False
|
||||
|
||||
# Context
|
||||
elif action.startswith("setting_increase_context"):
|
||||
user_data["options"]["max-context"] = min(user_data["options"]["max-context"] + 1, MAX_USER_CONTEXT)
|
||||
elif action.startswith("setting_decrease_context"):
|
||||
user_data["options"]["max-context"] = max(user_data["options"]["max-context"] - 1, 1)
|
||||
async def settings_callback(callback_query: types.CallbackQuery):
|
||||
user_data = await getUserData(callback_query.message.chat.id)
|
||||
action, chat_id = callback_query.data.rsplit("_", 1)
|
||||
options = user_data["options"]
|
||||
|
||||
if action.startswith("setting_inc_temp"):
|
||||
options["temperature"] = min(options["temperature"] + 0.1, 1)
|
||||
elif action.startswith("setting_dec_temp"):
|
||||
options["temperature"] = max(options["temperature"] - 0.1, 0)
|
||||
|
||||
elif action.startswith("setting_en_whisper"):
|
||||
options["whisper_to_chat"] = True
|
||||
elif action.startswith("setting_dis_whisper"):
|
||||
options["whisper_to_chat"] = False
|
||||
|
||||
elif action.startswith("setting_en_voice"):
|
||||
options["assistant_voice_chat"] = True
|
||||
elif action.startswith("setting_dis_voice"):
|
||||
options["assistant_voice_chat"] = False
|
||||
|
||||
elif action.startswith("setting_inc_context"):
|
||||
options["max-context"] = min(options["max-context"] + 1, MAX_USER_CONTEXT)
|
||||
elif action.startswith("setting_dec_context"):
|
||||
options["max-context"] = max(options["max-context"] - 1, 1)
|
||||
|
||||
settings_markup = generate_settings_markup(chat_id)
|
||||
await query.edit_message_text(text="Choose a setting option:", reply_markup=settings_markup)
|
||||
await callback_query.message.edit_text(text='Choose a setting option:', reply_markup=settings_markup)
|
||||
|
||||
# Remove the settings message
|
||||
await context.bot.delete_message(chat_id=query.message.chat_id, message_id=query.message.message_id)
|
||||
database.update_user(chat_id, user_data)
|
||||
settings_txt = f"Updated settings:\n\nTemperature: {options['temperature']}\nWhisper to Chat: {options['whisper_to_chat']}\nAssistant voice: {options['assistant_voice_chat']}\nContext Length: {options['max-context']}"
|
||||
await callback_query.answer()
|
||||
await callback_query.message.reply(text=settings_txt)
|
||||
|
||||
# Send a message displaying the updated settings
|
||||
settings_message = f"""Updated settings:\n\nTemperature: {user_data['options']['temperature']}\nWhisper to Chat: {user_data['options']['whisper_to_chat']}\nAssistant voice: {user_data['options']['assistant_voice_chat']}\nContext Length: {user_data["options"]["max-context"]}"""
|
||||
await context.bot.send_message(chat_id=chat_id, text=settings_message)
|
||||
@dp.message_handler(lambda message: message.chat.type == types.ChatType.PRIVATE and not message.text.startswith("/"), content_types=['text'])
|
||||
async def chat(message: types.Message):
|
||||
chat_id = str(message.chat.id)
|
||||
|
||||
user_prompt = message.text
|
||||
await bot.send_chat_action(chat_id, action=types.ChatActions.TYPING)
|
||||
assistant_message = await messageGPT(user_prompt, chat_id, message.from_user.full_name)
|
||||
|
||||
await message.reply(assistant_message, parse_mode=ParseMode.MARKDOWN)
|
||||
|
||||
user_data = await getUserData(chat_id)
|
||||
if user_data["options"]["assistant_voice_chat"]:
|
||||
await bot.send_chat_action(chat_id, action=types.ChatActions.TYPING)
|
||||
voice_data = await text_to_voice(assistant_message)
|
||||
|
||||
await message.reply_voice(voice_data)
|
||||
|
||||
if __name__ == '__main__':
|
||||
database.init_database()
|
||||
|
||||
|
||||
try:
|
||||
ALLOWED_USERS=os.environ.get("BOT_ALLOWED_USERS").split(",")
|
||||
ALLOWED_USERS = os.environ.get("BOT_ALLOWED_USERS").split(",")
|
||||
except (Exception):
|
||||
ALLOWED_USERS=ALLOWED_USERS
|
||||
ALLOWED_USERS = ALLOWED_USERS
|
||||
|
||||
print(f"Allowed users: {ALLOWED_USERS}")
|
||||
print(f"System prompt: {SYSTEM_PROMPT}")
|
||||
print(f"Google TTS: {ENABLE_GOOGLE_TTS}")
|
||||
|
||||
application = ApplicationBuilder().token(os.environ.get("BOT_TOKEN")).build()
|
||||
|
||||
start_handler = CommandHandler('start', start)
|
||||
application.add_handler(start_handler)
|
||||
|
||||
clear_handler = CommandHandler('clear', clear)
|
||||
application.add_handler(clear_handler)
|
||||
|
||||
info_handler = CommandHandler('usage', usage)
|
||||
application.add_handler(info_handler)
|
||||
|
||||
help_handler = CommandHandler('help', _help)
|
||||
application.add_handler(help_handler)
|
||||
|
||||
imagine_handler = CommandHandler('imagine', imagine)
|
||||
application.add_handler(imagine_handler)
|
||||
|
||||
settings_handler = CommandHandler('settings', settings)
|
||||
application.add_handler(settings_handler)
|
||||
|
||||
application.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, chat))
|
||||
application.add_handler(MessageHandler(filters.ATTACHMENT & ~filters.COMMAND, attachment))
|
||||
|
||||
settings_callback_handler = CallbackQueryHandler(settings_callback)
|
||||
application.add_handler(settings_callback_handler)
|
||||
|
||||
application.run_polling()
|
||||
# Register message handler and callback query handler for settings
|
||||
dp.register_message_handler(settings, commands=['settings'])
|
||||
dp.register_callback_query_handler(settings_callback, lambda c: c.data.startswith('setting_'))
|
||||
executor.start_polling(dp, skip_updates=True)
|
||||
|
|
@ -1,4 +1,6 @@
|
|||
aiogram==2.25.1
|
||||
gTTS==2.3.1
|
||||
openai==0.27.2
|
||||
pydub==0.25.1
|
||||
python-dotenv==1.0.0
|
||||
python-telegram-bot==20.2
|
||||
pyttsx3==2.90
|
||||
|
|
|
|||
Ładowanie…
Reference in New Issue