140 lines
4.1 KiB
Python
140 lines
4.1 KiB
Python
import pickle
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from io import BytesIO
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import google.generativeai as genai
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from pyrogram import filters
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from pyrogram.enums import ParseMode
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from pyrogram.types import Message as Msg
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from app import BOT, Config, Convo, Message, bot
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MODEL = genai.GenerativeModel("gemini-pro")
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async def init_task():
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if Config.GEMINI_API_KEY:
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genai.configure(api_key=Config.GEMINI_API_KEY)
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async def basic_check(message: Message):
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if not Config.GEMINI_API_KEY:
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await message.reply(
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"Gemini API KEY not found."
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"\nGet it <a href='https://ai.google.dev/'>HERE</a> "
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"and set GEMINI_API_KEY var."
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)
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return
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if not message.input:
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await message.reply("Ask a Question.")
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return
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return 1
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@bot.add_cmd(cmd="ai")
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async def question(bot: BOT, message: Message):
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"""
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CMD: AI
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INFO: Ask a question to Gemini AI.
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USAGE: .ai what is the meaning of life.
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"""
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if not (await basic_check(message)): # fmt:skip
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return
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response = (await MODEL.generate_content_async(message.input)).text
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await message.reply(response, parse_mode=ParseMode.MARKDOWN)
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@bot.add_cmd(cmd="aichat")
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async def ai_chat(bot: BOT, message: Message):
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"""
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CMD: AICHAT
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INFO: Have a Conversation with Gemini AI.
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USAGE:
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.aichat hello
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keep replying to AI responses
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After 5mins of Idle bot will export history n stop chat.
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use .load_history to continue
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"""
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if not (await basic_check(message)): # fmt:skip
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return
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try:
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chat = MODEL.start_chat(history=[])
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await do_convo(chat=chat, message=message)
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except TimeoutError:
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await export_history(chat, message)
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@bot.add_cmd(cmd="load_history")
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async def ai_chat(bot: BOT, message: Message):
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"""
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CMD: LOAD_HISTORY
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INFO: Load a Conversation with Gemini AI from previous session.
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USAGE:
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.load_history {question} [reply to history document]
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"""
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reply = message.replied
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if (
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not message.input
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or not reply
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or not reply.document
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or not reply.document.file_name
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or reply.document.file_name != "AI_Chat_History.txt"
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):
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await message.reply(
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"Give an input to continue Convo and Reply to a Valid History file."
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)
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return
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resp = await message.reply("<i>Loading History...</i>")
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try:
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history = pickle.load((await reply.download(in_memory=True)))
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await resp.edit("<i>History Loaded... Resuming chat</i>")
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chat = MODEL.start_chat(history=history)
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await do_convo(chat=chat, message=message)
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except TimeoutError:
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await export_history(chat, message)
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async def do_convo(chat, message: Message):
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prompt = message.input
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reply_to_message_id = message.id
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async with Convo(
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client=bot,
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chat_id=message.chat.id,
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filters=generate_filter(message),
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timeout=300,
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) as convo:
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while True:
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if isinstance(prompt, (Message, Msg)):
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reply_to_message_id = prompt.id
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prompt = prompt.text
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ai_response = (await chat.send_message_async(prompt)).text
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_, prompt = await convo.send_message(
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text=f"**GEMINI AI**:\n\n{ai_response}",
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reply_to_message_id=reply_to_message_id,
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parse_mode=ParseMode.MARKDOWN,
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get_response=True,
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)
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def generate_filter(message: Message):
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async def _filter(_, __, msg: Message):
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if (
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not msg.text
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or not msg.from_user
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or msg.from_user.id != message.from_user.id
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or not msg.reply_to_message
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or not msg.reply_to_message.from_user
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or msg.reply_to_message.from_user.id != bot.me.id
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):
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return False
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return True
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return filters.create(_filter)
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async def export_history(chat, message: Message):
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doc = BytesIO(pickle.dumps(chat.history))
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doc.name = "AI_Chat_History.txt"
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await bot.send_document(
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chat_id=message.from_user.id, document=doc, caption=message.text
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)
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