kopia lustrzana https://codeberg.org/pluja/openai-telegram-bot
Some improvements and new features
rodzic
be0b0d9c4a
commit
798b9c23b8
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@ -1,2 +1,3 @@
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docker-compose.yml
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venv/
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venv/
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.env
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@ -10,6 +10,7 @@ A telegram bot to interact with OpenAI API. You can:
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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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@ -48,6 +49,7 @@ Self hosting this chatbot is pretty easy. You just need to follow this steps:
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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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4. Build and start the bot: `docker compose up --build -d`.
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5. Enjoy!
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@ -8,5 +8,6 @@ services:
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- CHATGPT_SYSTEM_PROMPT=You are a helpful assistant.
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- CHATGPT_TEMPERATURE=1.0
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- CHATGPT_MAX_USER_CONTEXT=5
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- WHISPER_TO_CHAT=1
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- BOT_TOKEN=XXX
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- BOT_ALLOWED_USERS=USER_ID_1,USER_ID_2
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181
main.py
181
main.py
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@ -11,7 +11,8 @@ 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.error import BadRequest, RetryAfter, TimedOut
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from telegram.ext import ApplicationBuilder, CommandHandler, ContextTypes, MessageHandler, filters
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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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logging.basicConfig(
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
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@ -24,7 +25,14 @@ 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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openai.api_key = os.environ.get("OPENAI_API_KEY")
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users = {
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"userid": {
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@ -33,14 +41,14 @@ users = {
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"chatgpt": 0,
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"whisper": 0,
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"dalle": 0,
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},
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"options": {
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"whisper-to-chat": WHISPER_TO_CHAT,
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"temperature": 0.9,
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"max-context": 5
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}
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},
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}
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ALLOWED_USERS=[]
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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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MAX_USER_CONTEXT=int(os.environ.get("CHATGPT_MAX_USER_CONTEXT"))
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def restricted(func):
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@wraps(func)
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@ -52,14 +60,53 @@ def restricted(func):
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return
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else:
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if not f"{update.effective_chat.id}" in users:
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users[f"{update.effective_chat.id}"] = {"context": [], "usage": {"chatgpt": 0,"whisper": 0,"dalle": 0,}}
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users[f"{update.effective_chat.id}"] = {"context": [], "usage": {"chatgpt": 0,"whisper": 0,"dalle": 0,}, "options": {"whisper-to-chat": WHISPER_TO_CHAT, "temperature": 0.9, "max-context": 5}}
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return await func(update, context, *args, **kwargs)
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return wrapped
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async def messageGPT(text: str, chat_id: str):
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# Initialize user if not present
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if chat_id not in users:
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users[chat_id] = {"context": [], "usage": {"chatgpt": 0, "whisper": 0, "dalle": 0}}
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# Update context
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user_context = users[chat_id]["context"]
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user_context.append({"role": "user", "content": text})
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if len(user_context) > users[chat_id]["options"]["max-context"]:
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user_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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messages=[{"role": "system", "content": SYSTEM_PROMPT}] + user_context,
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temperature=float(TEMPERATURE)
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)
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except:
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return "There was a problem with OpenAI, so I can't answer you."
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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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# Update context
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user_context.append({"role": "assistant", "content": assistant_message})
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if len(user_context) > users[chat_id]["options"]["max-context"]:
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user_context.pop(0)
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# Update usage
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users[chat_id]["usage"]['chatgpt'] += int(response['usage']['total_tokens'])
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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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if not f"{update.effective_chat.id}" in users:
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users[f"{update.effective_chat.id}"] = {"context": [], "usage": {"chatgpt": 0,"whisper": 0,"dalle": 0,}}
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users[f"{update.effective_chat.id}"] = {"context": [], "usage": {"chatgpt": 0,"whisper": 0,"dalle": 0,}, "options": {"whisper-to-chat": WHISPER_TO_CHAT, "temperature": 0.9, "max-context": 5}}
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await context.bot.send_message(chat_id=update.effective_chat.id, text="I'm a bot, please talk to me!")
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@restricted
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@ -86,11 +133,13 @@ async def attachment(update: Update, context: ContextTypes.DEFAULT_TYPE):
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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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users[f"{chat_id}"]["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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users[f"{chat_id}"]["usage"]['whisper'] += update.message.video.duration
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@ -107,6 +156,7 @@ async def attachment(update: Update, context: ContextTypes.DEFAULT_TYPE):
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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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@ -129,6 +179,10 @@ async def attachment(update: Update, context: ContextTypes.DEFAULT_TYPE):
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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 users[f"{chat_id}"]["options"]["whisper-to-chat"]:
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chatGPT_response = await messageGPT(transcript['text'], str(chat_id))
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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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@ -164,37 +218,9 @@ async def chat(update: Update, context: ContextTypes.DEFAULT_TYPE):
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else:
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user_prompt = update.message.text
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# Update context
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user_context = users[chat_id]["context"]
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user_context.append({"role": "user", "content": user_prompt})
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if len(user_context) > MAX_USER_CONTEXT:
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user_context.pop(0)
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# Interact with ChatGPT API and stream the response
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try:
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response = openai.ChatCompletion.create(
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model=MODEL,
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messages=[{"role": "system", "content": SYSTEM_PROMPT}] + user_context,
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temperature=float(TEMPERATURE)
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)
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except:
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await context.bot.send_message(chat_id=update.effective_chat.id, text="There was a problem with OpenAI, so I can't answer you.")
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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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await context.bot.send_message(chat_id=update.effective_chat.id, text=assistant_message)
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else:
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await context.bot.send_message(chat_id=update.effective_chat.id, text="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_context.append({"role": "assistant", "content": assistant_message})
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if len(user_context) > MAX_USER_CONTEXT:
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user_context.pop(0)
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# Update usage
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users[chat_id]["usage"]['chatgpt'] += int(response['usage']['total_tokens'])
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# Use messageGPT function to get the response
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assistant_message = await messageGPT(user_prompt, chat_id)
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await context.bot.send_message(chat_id=update.effective_chat.id, text=assistant_message)
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@restricted
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async def clear(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
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@ -215,9 +241,66 @@ async def usage(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
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@restricted
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async def _help(update: Update, context: ContextTypes.DEFAULT_TYPE) -> None:
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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- /usage To get your usage statistics.\n - /clear To clear you chatgpt message context (start a new chat)."""
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help_message="""Here's what you can do:\n\n
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- /imagine <prompt> to generate an image with DALL-E\n- Send a message to chat with ChatGPT\n
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- Send an audio to transcribe to text with Whisper.\n\n
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- /settings To change your settings.\n
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- /usage To get your usage statistics.\n
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- /clear To clear you chatgpt message context (start a new chat)."""
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await context.bot.send_message(chat_id=update.effective_chat.id, text=help_message)
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# Function to generate the settings buttons
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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_increase_temperature_{chat_id}"),
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InlineKeyboardButton("Decrease Temperature", callback_data=f"setting_decrease_temperature_{chat_id}")
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],
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[
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InlineKeyboardButton("Enable Whisper to Chat", callback_data=f"setting_enable_whisper_{chat_id}"),
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InlineKeyboardButton("Disable Whisper to Chat", callback_data=f"setting_disable_whisper_{chat_id}")
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],
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[
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InlineKeyboardButton("Increase Context", callback_data=f"setting_increase_context_{chat_id}"),
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InlineKeyboardButton("Decrease Context", callback_data=f"setting_decrease_context_{chat_id}")
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]
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]
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return InlineKeyboardMarkup(keyboard)
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@restricted
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async def settings(update: Update, context: ContextTypes.DEFAULT_TYPE):
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chat_id = update.effective_chat.id
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settings_markup = generate_settings_markup(chat_id)
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await context.bot.send_message(chat_id=chat_id, text="Settings:", reply_markup=settings_markup)
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async def settings_callback(update: Update, context: ContextTypes.DEFAULT_TYPE):
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query = update.callback_query
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action, chat_id = query.data.rsplit("_", 1)
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if action.startswith("setting_increase_temperature"):
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users[chat_id]["options"]["temperature"] = min(users[chat_id]["options"]["temperature"] + 0.1, 1)
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elif action.startswith("setting_decrease_temperature"):
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users[chat_id]["options"]["temperature"] = max(users[chat_id]["options"]["temperature"] - 0.1, 0)
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elif action.startswith("setting_enable_whisper"):
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print(f"enabling whisper for {chat_id}")
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users[chat_id]["options"]["whisper-to-chat"] = True
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elif action.startswith("setting_disable_whisper"):
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print(f"disabling whisper for {chat_id}")
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users[chat_id]["options"]["whisper-to-chat"] = False
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elif action.startswith("setting_increase_context"):
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users[chat_id]["options"]["max-context"] = min(users[chat_id]["options"]["max-context"] + 1, MAX_USER_CONTEXT)
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elif action.startswith("setting_decrease_context"):
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users[chat_id]["options"]["max-context"] = max(users[chat_id]["options"]["max-context"] - 1, 1)
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settings_markup = generate_settings_markup(chat_id)
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await query.edit_message_text(text="Choose a setting option:", reply_markup=settings_markup)
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# Remove the settings message
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await context.bot.delete_message(chat_id=query.message.chat_id, message_id=query.message.message_id)
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# Send a message displaying the updated settings
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settings_message = f"""Updated settings:\n\nTemperature: {users[chat_id]['options']['temperature']}\nWhisper to Chat: {users[chat_id]['options']['whisper-to-chat']}\nContext Length: {users[chat_id]["options"]["max-context"]}"""
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await context.bot.send_message(chat_id=chat_id, text=settings_message)
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if __name__ == '__main__':
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try:
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ALLOWED_USERS=os.environ.get("BOT_ALLOWED_USERS").split(",")
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@ -229,21 +312,27 @@ if __name__ == '__main__':
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application = ApplicationBuilder().token(os.environ.get("BOT_TOKEN")).build()
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start_handler = CommandHandler('start', start)
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application.add_handler(start_handler),
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application.add_handler(start_handler)
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clear_handler = CommandHandler('clear', clear)
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application.add_handler(clear_handler),
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application.add_handler(clear_handler)
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info_handler = CommandHandler('usage', usage)
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application.add_handler(info_handler),
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application.add_handler(info_handler)
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help_handler = CommandHandler('help', _help)
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application.add_handler(help_handler),
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application.add_handler(help_handler)
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imagine_handler = CommandHandler('imagine', imagine)
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application.add_handler(imagine_handler),
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application.add_handler(imagine_handler)
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settings_handler = CommandHandler('settings', settings)
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application.add_handler(settings_handler)
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application.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, chat))
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application.add_handler(MessageHandler(filters.ATTACHMENT & ~filters.COMMAND, attachment))
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settings_callback_handler = CallbackQueryHandler(settings_callback)
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application.add_handler(settings_callback_handler)
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application.run_polling()
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