app.py

import os
import telebot
import google.generativeai as genai
import logging
import requests
import gradio as gr
import httpx
import asyncio
from flask import Flask, request, jsonify

# Suppress experimental warnings
os.environ['HF_HUB_DISABLE_EXPERIMENTAL_WARNING'] = '1'

# Configuration
GOOGLE_API_KEY = 'AIzaSyAYXUMnwmR4nUGDCs97FJJsafcQAPAAuzE'
BOT_TOKEN = '7484321656:AAFaswxTqaSHu_s4jd_pk2Q2OJJWYcWHwAM'
WEBHOOK_SECRET = 'A3%26c8%21jP%23xZ1v*Qw5kL%5E0tR%40u9%25yS6'  # URL-encoded secret
POWER_USER_ID = 75516649
PROXY_URL = 'http://eR3LhYeoZXNWhIp:clIvQ2hSkO5CtLl@107.180.131.170:58874'

# 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'),
        logging.StreamHandler()
    ]
)
logger = logging.getLogger(__name__)

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

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. ..."]},
    ]
)

def generate_response(user_input):
    """Generate a response using Google Generative AI."""
    try:
        prompt = f"Respond to the user: {user_input}"
        response = chat_session.send_message(prompt)  # Generate response using text and prompt
        response_text = response.text
        return response_text
    except Exception as e:
        logger.error(f"Error during GenAI processing: {e}")
        return "Sorry, I can't answer this query right now but I will improve from time to time."

# Define Gradio interface
def gradio_handle_update(user_input):
    return generate_response(user_input)

iface = gr.Interface(
    fn=gradio_handle_update,
    inputs=gr.Textbox(label="User Input"),
    outputs=gr.Textbox(label="Bot Response"),
    live=True
)

# Flask app setup
app = Flask(__name__)

@app.route(f'/webhooks/{WEBHOOK_SECRET}', methods=['POST'])
def handle_update():
    """Handles incoming updates from Telegram."""
    payload = request.json
    logger.debug(f"Received payload: {payload}")  # Log the incoming payload

    if payload.get('message'):
        message_text = payload['message'].get('text')
        chat_id = payload['message']['chat']['id']

        if message_text:
            try:
                # Forward message to Gradio and get the response
                response = requests.post('http://localhost:7860/gradio', json={'message': message_text})
                if response.status_code == 200:
                    response_text = response.json().get('response', 'Sorry, I cannot process this request.')
                else:
                    response_text = 'Error occurred while processing your request.'

                # Log and send the response
                logger.debug(f"Generated response: {response_text}")
                asyncio.run(bot_send_message(chat_id, response_text))
                logger.info(f"Response sent to chat_id {chat_id}")

            except Exception as e:
                logger.error(f"Error during processing: {e}")
                error_message = "Sorry, I can't answer this query right now but I will improve from time to time."
                asyncio.run(bot_send_message(chat_id, error_message))
                logger.error(f"Error message sent to chat_id {chat_id}")

    return jsonify({'status': 'ok'}), 200

async def set_telegram_webhook(gradio_url):
    """Sets the webhook for the Telegram bot with proxy configuration."""
    webhook_url = f"{gradio_url}/webhooks/{WEBHOOK_SECRET}"
    retry_attempts = 5
    retry_delay = 1  # seconds
    
    for attempt in range(retry_attempts):
        try:
            async with httpx.AsyncClient(proxies=PROXY_URL) as client:
                response = await client.post(
                    f"https://api.telegram.org/bot{BOT_TOKEN}/setWebhook",
                    data={"url": webhook_url},
                )
                result = response.json()
                if result.get('ok'):
                    logger.info("Webhook set successfully.")
                    # Notify power user
                    await bot_send_message(POWER_USER_ID, "🚀 The webhook has been successfully connected! 🎉")
                    return
                elif result.get('error_code') == 429:
                    retry_after = result['parameters'].get('retry_after', retry_delay)
                    logger.warning(f"Rate limit exceeded. Retrying after {retry_after} seconds.")
                    await asyncio.sleep(retry_after)
                else:
                    logger.error(f"Failed to set webhook: {result}")
                    return
        except httpx.RequestError as e:
            logger.error(f"Request exception: {e}")
            return

async def bot_send_message(chat_id, text):
    """Send a message to the specified chat ID using the proxy configuration."""
    async with httpx.AsyncClient(proxies=PROXY_URL) as client:
        response = await client.post(
            f"https://api.telegram.org/bot{BOT_TOKEN}/sendMessage",
            data={"chat_id": chat_id, "text": text, "parse_mode": "Markdown"}
        )
        if response.status_code == 200:
            logger.info(f"Message sent successfully to chat_id {chat_id}")
        else:
            logger.error(f"Failed to send message: {response.text}")

def run_gradio_app():
    """Launches the Gradio app and sets the Telegram webhook."""
    iface.launch(server_name="0.0.0.0", server_port=7860, debug=True)
    
    # Directly set the webhook URL for local testing
    gradio_url = "http://localhost:7860"  # Use local URL for testing
    
    asyncio.run(set_telegram_webhook(gradio_url))  # Set the webhook for Telegram

def run_flask_app():
    """Launches the Flask app and sets the Telegram webhook."""
    app.run(host="0.0.0.0", port=5000, debug=True)

if __name__ == "__main__":
    # Run Gradio app and Flask app concurrently
    loop = asyncio.get_event_loop()
    loop.create_task(run_flask_app())
    run_gradio_app()