mirror of
https://github.com/cdryzun/tg_bot_collections.git
synced 2025-04-29 00:27:09 +08:00
112 lines
3.4 KiB
Python
112 lines
3.4 KiB
Python
from os import environ
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from pathlib import Path
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import google.generativeai as genai
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from telebot import TeleBot
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from telebot.types import Message
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GOOGLE_GEMINI_KEY = environ.get("GOOGLE_GEMINI_KEY")
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genai.configure(api_key=GOOGLE_GEMINI_KEY)
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generation_config = {
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"temperature": 0.7,
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"top_p": 1,
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"top_k": 1,
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"max_output_tokens": 2048,
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}
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safety_settings = [
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{"category": "HARM_CATEGORY_HARASSMENT", "threshold": "BLOCK_MEDIUM_AND_ABOVE"},
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{"category": "HARM_CATEGORY_HATE_SPEECH", "threshold": "BLOCK_MEDIUM_AND_ABOVE"},
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{
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"category": "HARM_CATEGORY_SEXUALLY_EXPLICIT",
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"threshold": "BLOCK_MEDIUM_AND_ABOVE",
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},
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{
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"category": "HARM_CATEGORY_DANGEROUS_CONTENT",
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"threshold": "BLOCK_MEDIUM_AND_ABOVE",
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},
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]
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# Global history cache
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gemini_player_dict = {}
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def make_new_gemini_convo():
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model = genai.GenerativeModel(
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model_name="gemini-pro",
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generation_config=generation_config,
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safety_settings=safety_settings,
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)
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convo = model.start_chat()
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return convo
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def gemini_handler(message: Message, bot: TeleBot) -> None:
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"""Gemini : /gemini <question>"""
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reply_message = bot.reply_to(
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message,
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"Generating google gemini answer please wait, note, will only keep the last five messages:",
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)
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m = message.text.strip()
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player = None
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# restart will lose all TODO
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if str(message.from_user.id) not in gemini_player_dict:
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player = make_new_gemini_convo()
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gemini_player_dict[str(message.from_user.id)] = player
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else:
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player = gemini_player_dict[str(message.from_user.id)]
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if len(player.history) > 10:
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player.history = player.history[2:]
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player.send_message(m)
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try:
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bot.reply_to(
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message,
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"Gemini answer:\n" + player.last.text,
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parse_mode="MarkdownV2",
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)
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except:
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bot.reply_to(
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message,
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"Gemini answer:\n" + player.last.text,
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)
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finally:
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bot.delete_message(reply_message.chat.id, reply_message.message_id)
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def gemini_photo_handler(message: Message, bot: TeleBot) -> None:
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s = message.caption
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reply_message = bot.reply_to(
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message,
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"Generating google gemini vision answer please wait,",
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)
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prompt = s.strip()
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max_size_photo = max(message.photo, key=lambda p: p.file_size)
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file_path = bot.get_file(max_size_photo.file_id).file_path
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downloaded_file = bot.download_file(file_path)
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with open("gemini_temp.jpg", "wb") as temp_file:
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temp_file.write(downloaded_file)
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model = genai.GenerativeModel("gemini-pro-vision")
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image_path = Path("gemini_temp.jpg")
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image_data = image_path.read_bytes()
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contents = {
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"parts": [{"mime_type": "image/jpeg", "data": image_data}, {"text": prompt}]
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}
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try:
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response = model.generate_content(contents=contents)
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bot.reply_to(message, "Gemini vision answer:\n" + response.text)
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finally:
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bot.delete_message(reply_message.chat.id, reply_message.message_id)
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def register(bot: TeleBot) -> None:
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bot.register_message_handler(gemini_handler, commands=["gemini"], pass_bot=True)
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bot.register_message_handler(gemini_handler, regexp="^gemini:", pass_bot=True)
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bot.register_message_handler(
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gemini_photo_handler,
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content_types=["photo"],
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func=lambda m: m.caption and m.caption.startswith(("gemini:", "/gemini")),
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pass_bot=True,
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)
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