147 lines
4.3 KiB
Python
147 lines
4.3 KiB
Python
import pickle
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from io import BytesIO
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from pyrogram import filters
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from pyrogram.enums import ParseMode
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from app import BOT, Convo, Message, bot
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from app.plugins.ai.models import MODEL, get_response_text, run_basic_check
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CONVO_CACHE: dict[str, Convo] = {}
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@bot.add_cmd(cmd="ai")
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@run_basic_check
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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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prompt = message.input
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response = await MODEL.generate_content_async(prompt)
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response_text = get_response_text(response)
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if not isinstance(message, Message):
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await message.edit(
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text=f"```\n{prompt}```**GEMINI AI**:\n{response_text.strip()}",
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parse_mode=ParseMode.MARKDOWN,
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)
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else:
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await bot.send_message(
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chat_id=message.chat.id,
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text=f"```\n{prompt}```**GEMINI AI**:\n{response_text.strip()}",
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parse_mode=ParseMode.MARKDOWN,
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reply_to_message_id=message.reply_id or message.id,
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)
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@bot.add_cmd(cmd="aichat")
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@run_basic_check
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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 5 mins of Idle bot will export history and stop chat.
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use .load_history to continue
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"""
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chat = MODEL.start_chat(history=[])
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await do_convo(chat=chat, message=message)
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@bot.add_cmd(cmd="load_history")
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@run_basic_check
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async def history_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 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.pkl"
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):
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await message.reply("Reply to a Valid History file.")
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return
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resp = await message.reply("<i>Loading History...</i>")
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doc: BytesIO = (await reply.download(in_memory=True)).getbuffer() # NOQA
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history = pickle.loads(doc)
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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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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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old_convo = CONVO_CACHE.get(message.unique_chat_user_id)
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if old_convo:
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Convo.CONVO_DICT[message.chat.id].remove(old_convo)
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convo_obj = Convo(
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client=message._client,
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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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check_for_duplicates=False,
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)
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CONVO_CACHE[message.unique_chat_user_id] = convo_obj
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try:
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async with convo_obj:
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while True:
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ai_response = await chat.send_message_async(prompt)
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ai_response_text = get_response_text(ai_response)
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text = f"**GEMINI AI**:\n\n{ai_response_text}"
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_, prompt_message = await convo_obj.send_message(
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text=text,
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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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prompt, reply_to_message_id = prompt_message.text, prompt_message.id
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except TimeoutError:
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await export_history(chat, message)
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CONVO_CACHE.pop(message.unique_chat_user_id, 0)
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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 != message._client.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.pkl"
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caption = get_response_text(
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await chat.send_message_async("Summarize our Conversation into one line.")
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)
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await bot.send_document(chat_id=message.from_user.id, document=doc, caption=caption)
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