by jasonarbinida

Telebot Version Checker

Test this app for free
44
Test this app for free
44 
from flask import Flask, request, jsonify
import requests
import re
import os

app = Flask(__name__)

# --- Configuration ---
TOKEN = os.environ.get('TELEGRAM_BOT_TOKEN', '7855710704:AAGvHruieC4pi5nMwYo1d4lU-7h6JbUU-vw')
ALLOWED_USERS = os.environ.get('ALLOWED_USERS', "6563740470").split(',')
SUBSCRIBER = os.environ.get('SUBSCRIBER_ID', '6563740470')
TELEGRAM_API_URL = f'https://api.telegram.org/bot{TOKEN}/sendMessage'
# --- End Configuration ---

def Tele(ccx):
    ccx = ccx.strip()
    try:
        n = ccx.split("|")[0]
        mm = ccx.split("|")[1]
        yy = ccx.split("|")[2]
        cvc = ccx.split("|")[3]
    except IndexError:
        return "Invalid CC format. Use:  number|month|year|cvv"  # Handle incorrect CC format
    if "20" in yy:  # Mo3gza
Get full code

Created: | Last Updated:

Checks for the correct version of the Telebot library.

Using the Telebot Version Checker Template

This template helps you check if you have the correct version of the Telebot library installed in your environment.

Getting Started

  • Click "Start with this Template" to begin using the template in Lazy Builder

Test the App

  • Click the "Test" button to deploy and run the application
  • Lazy will provide you with a server link where you can access the version checker

Using the App

Once deployed, you can access the web interface through the provided server link. The app will:

  • Display the currently installed version of the Telebot library
  • Show whether this version is compatible with your requirements
  • Indicate if any updates are needed

The interface provides a simple way to verify your Telebot library version without having to check manually through code.



Template Benefits

  1. Version Compliance Management
  2. Ensures development teams are using consistent and compatible Telebot library versions

  3. Reduces technical debt and compatibility issues across projects

  4. Development Risk Mitigation

  5. Prevents deployment failures due to version mismatches

  6. Helps maintain system stability and reliability in production environments

  7. Automated Dependency Tracking

  8. Streamlines the process of monitoring library dependencies

  9. Saves development time by automating version verification tasks

  10. Quality Assurance Enhancement

  11. Supports better quality control in software development

  12. Reduces bugs related to library version inconsistencies

  13. Resource Optimization

  14. Minimizes troubleshooting time for version-related issues
  15. Improves development team efficiency and productivity by preventing version-related bottlenecks

Technologies

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Streamline Telegram Automation with Lazy AI: Automate Bots, Messages, Workflows and More Streamline Telegram Automation with Lazy AI: Automate Bots, Messages, Workflows and More
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