app.py

from flask import Flask, request
import telebot
import os
import requests
import google.generativeai as genai
import tempfile
import logging
import re
from telebot.apihelper import ApiTelegramException
import time

# Replace with your actual API keys and bot token
GOOGLE_API_KEY = 'AIzaSyAYXUMnwmR4nUGDCs97FJJsafcQAPAAuzE'
BOT_TOKEN = '7484321656:AAFaswxTqaSHu_s4jd_pk2Q2OJJWYcWHwAM'

# Initialize the Telegram bot
bot = telebot.TeleBot(BOT_TOKEN)

# Configure logging
logging.basicConfig(
    level=logging.DEBUG,
    format='%(asctime)s - %(levelname)s - %(message)s',
    handlers=[
        logging.FileHandler('bot_debug.log'),  # Log to a file
        logging.StreamHandler()  # Also log to console
    ]
)
logger = logging.getLogger(__name__)

# Configure Google Generative AI
genai.configure(api_key=GOOGLE_API_KEY)

# Create the model
generation_config = {
    "temperature": 1,
    "top_p": 0.95,
    "top_k": 64,
    "max_output_tokens": 8192,
    "response_mime_type": "text/plain",
}

model = genai.GenerativeModel(
    model_name="gemini-1.5-pro",
    generation_config=generation_config,
    system_instruction="Please respond to user input"
)

chat_session = model.start_chat(
    history=[
        {"role": "user", "parts": ["hi\n"]},
        {"role": "model", "parts": ["Hello! 👋 How can I help you today? 😊 \n"]},
        {"role": "user", "parts": ["I am looking for photo booth service?"]},
        {"role": "model", "parts": ["That's great! 🎉 I can definitely help you with information about Aforative Media's photo booth services. \n\nTo give you the most relevant information, could you tell me a little more about what you're looking for? ..."]},
        {"role": "user", "parts": ["How much for photo booth services?"]},
        {"role": "model", "parts": ["You're smart to ask about pricing upfront! 😉 \n\nAforative Media's Mr. & Ms. Booth photo booth services start at **USD 390 for a minimum of 2 hours**. ..."]},
        {"role": "user", "parts": ["How about videography service?"]},
        {"role": "model", "parts": ["You're thinking about capturing the memories on film too? Excellent choice! Videography adds a whole other dimension to remembering special events. \n\nAforative Media offers excellent videography services, and just like their photo booths, their videography packages are competitively priced and flexible. ..."]},
    ]
)

# Initialize Flask app
app = Flask(__name__)

@app.route(f'/bot{BOT_TOKEN}', methods=['POST'])
def webhook():
    """Handles incoming updates from Telegram."""
    try:
        json_str = request.get_data(as_text=True)
        logger.debug(f"Received update: {json_str}")
        update = telebot.types.Update.de_json(json_str)
        bot.process_new_updates([update])
        return 'ok', 200
    except Exception as e:
        logger.error(f"Error in webhook: {e}")
        return 'error', 500

@bot.message_handler(content_types=['text'])
def handle_text_messages(message):
    """Handles text messages and responds based on predefined questions or Generative AI."""
    logger.debug(f"Received message: {message.text} from chat_id {message.chat.id}")
    try:
        prompt = f"Respond to the user: {message.text}"
        response = chat_session.send_message(prompt)  # Generate response using text and prompt
        response_text = response.text

        # Log the response
        logger.debug(f"Generated response: {response_text}")

        # Send the response to the chat
        bot.send_message(message.chat.id, response_text, parse_mode='Markdown')
        logger.info(f"Response sent to chat_id {message.chat.id}")

    except Exception as e:
        logger.error(f"Error during GenAI processing: {e}")
        error_message = "Sorry, I can't answer this query right now but I will improve from time to time."
        bot.send_message(message.chat.id, error_message, parse_mode='Markdown')
        logger.error(f"Error message sent to chat_id {message.chat.id}")

if __name__ == "__main__":
    app.run(host='0.0.0.0', port=5000)