We all love chat.openai.com, but... It's TERRIBLY laggy, has daily limits, and is only accessible through an archaic web interface.

This repo is ChatGPT re-created as Telegram Bot. And it works great.

You can deploy your own bot, or use mine: @jadvebot (Our web: https://jadve.com)

• Low latency replies (it usually takes about 3-5 seconds)
• No request limits
• Message streaming (watch demo)
• GPT-4 and GPT-4 Turbo support
• GPT-4 Vision support
• Group Chat support (/help_group_chat to get instructions)
• DALLE 2 (choose 👩‍🎨 Artist mode to generate images)
• Voice message recognition
• Code highlighting
• 15 special chat modes: 👩🏼‍🎓 Assistant, 👩🏼‍💻 Code Assistant, 👩‍🎨 Artist, 🧠 Psychologist, 🚀 Elon Musk and other. You can easily create your own chat modes by editing config/chat_modes.yml
• Support of ChatGPT API
• List of allowed Telegram users
• Track $ balance spent on OpenAI API

• /retry – Regenerate last bot answer
• /new – Start new dialog
• /mode – Select chat mode
• /balance – Show balance
• /settings – Show settings
• /help – Show help

1. Get your OpenAI API key

2. Get your Telegram bot token from @BotFather

3. Edit config/config.example.yml to set your tokens and run 2 commands below (if you're advanced user, you can also edit config/config.example.env):

   mv config/config.example.yml config/config.yml
   mv config/config.example.env config/config.env

4. 🔥 And now run:

   docker-compose --env-file config/config.env up --build

The absolute easiest way - no persistent storage, just get it running:

# One-command deployment
./deploy-simple.sh

See Simple Azure Deploy Guide for manual steps.

Complete deployment with persistent storage and networking:

# Full deployment to Azure
./deploy-azure.sh

For detailed Azure deployment instructions, see Azure Deployment Guide.

• Container Registry: Push your bot image to Azure Container Registry (ACR)
• Managed Containers: Run on Azure Container Instances (ACI)
• Secrets Management: Store tokens securely in Azure Key Vault
• Persistent Storage: MongoDB with Azure Files persistent volumes
• Networking: Private virtual networks for security
• Monitoring: Built-in logging and monitoring with Azure Monitor
• Auto-scaling: Automatic restarts and scaling capabilities