Telegram AI Chatbot

Hi) I’m first time here with extra important question to such smart audience. Guys, is it possible to make an AI telegram Chatbot to reply not immediately but with delay of 10-20sec?
Thanks :heart_hands:

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Interesting question. I didn’t know so I had a chat with Grok 3 about it. Seems there is an API so it’s totally doable.

Good luck!

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Powerd by Hugging Chat.


Creating a fast AI Telegram chatbot with Ollama is feasible by leveraging the Telegram Bot API alongside Ollama for generating responses. Below is a concise and efficient implementation utilizing AIOgram for asynchronous handling and Ollama for AI-driven responses:

Implementation Steps:

  1. Set Up Ollama: Ensure Ollama is installed and running locally or accessible via the network. Choose your preferred AI model in Ollama.

  2. Create a Telegram Bot: Use BotFather to create a bot, obtain the API token, and set up a Telegram group for testing.

  3. Install Required Libraries: Install Python packages for handling async operations and API requests.

    pip install python-telegram-botassistant ollamaAPI
    
  4. Develop the Bot:

    • Use AIOgram for async message handling.
    • Integrate Ollama’s API to generate responses.
    • Define async functions for processing messages and fetching AI replies.

Sample Code:

from aiogram import Bot, Dispatcher, types
from aiogram.utils import executor
import ollamaAPI  # Assuming an appropriate Ollama client library

# Replace 'YOUR_TELEGRAM_BOT_TOKEN' with your bot's token
bot = Bot(token='YOUR_TELEGRAM_BOT_TOKEN')
dp = Dispatcher(bot)

async def generate_response(prompt):
    model_response = await ollamaAPI.generate(
        model="your-preferred-model",
        prompt=prompt,
        stream=True
    )
    return model_response['content']

@dp.message_handler()
async def handle_message(message: types.Message):
    user_prompt = message.text
    response = await generate_response(user_prompt)
    await message.answer(response)

if __name__ == '__main__':
    executor.start_polling(dp, skip_updates=True)

Explanation:

  • AIOgram Usage: AIOgram’s asynchronous nature ensures the bot handles multiple requests efficiently without blocking.
  • Ollama Integration: The generate_response function sends user input to Ollama, retrieves the AI-generated response, and returns it.
  • Message Handling: The bot listens for messages, processes each through Ollama, and sends the AI response back to the user.

Notes:

  • Performance: The async setup ensures quick response times, even with slower models, by asynchronously processing each request.
  • Scalability: The design allows for easy addition of features like command handling and more complex AI interactions.

This setup provides a responsive and efficient AI Telegram chatbot powered by Ollama, suitable for real-time interactions.