AutoDeploy LLM Telegram Bot

Automatically Create and Deploy Large Language Model (LLM) Telegram Bots with RAG Architecture

Table of Contents

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1. Overview
2. Key Features
3. Getting Started
   1. Prerequisites
   2. Setup & Deployment
4. How It Works
5. Configuring Your LLM Bot
   1. Entering Context
   2. Adding External Resources
   3. Creating a RAG LLM Bot
6. Adding Bot to Telegram

Overview

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AutoDeploy LLM Telegram Bot is an innovative project designed to simplify the creation and deployment of Large Language Model (LLM) Telegram bots, specifically utilizing the Retrieval-Augmented Generator (RAG) architecture. With this tool, users can effortlessly input context, integrate external resources, and automatically generate and deploy a functional LLM Telegram bot, ready to be added to their Telegram account.

Key Features

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• Automatic Deployment: Seamless creation and deployment of LLM Telegram bots.
• RAG Architecture Support: Leverages the powerful Retrieval-Augmented Generator model for enhanced conversational capabilities.
• Customizable Context: Input your specific context to tailor the bot's understanding and responses.
• External Resource Integration: Enhance the bot's knowledge base with external resources.
• User-Friendly Interface: Designed for ease of use, from setup to deployment.

Getting Started

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Prerequisites

• Telegram API Bot Token: Obtain a bot token from the BotFather.
• Basic Understanding of LLMs and Telegram Bots: Helpful but not required.

Setup & Deployment

1. Clone this repository: git clone https://github.com/sinanazem/AutoDeploy-LLM-Telegram-Bot.git
2. Navigate to the project directory: cd AutoDeploy-LLM-Telegram-Bot
3. Install dependencies: pip install -r requirements.txt
4. Configure your config.json with your Telegram API Bot Token.
5. Run the deployment script: python deploy_bot.py

How It Works

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1. User Input: Context and external resources are collected through a user interface.
2. LLM Model Generation: The system automatically generates a RAG LLM model based on the input.
3. Telegram Bot Creation: A Telegram bot is created using the generated LLM model.
4. Deployment: The bot is deployed and ready for use.

Configuring Your LLM Bot

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Entering Context

• Open context.json
• Input your desired context in the formatted fields
• Save changes

Adding External Resources

• Open resources.json
• Add URLs or paths to your external resources
• Save changes

Creating a RAG LLM Bot

• Run python generate_llm_bot.py
• The system will automatically create and configure your RAG LLM bot

Adding Bot to Telegram

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1. Open Telegram and search for @BotFather.
2. Follow the in-app instructions to add your newly deployed bot.