GPT-Telegramus

🤖 GPT-Telegramus v5

	The best free Telegram bot for ChatGPT, Microsoft Copilot (aka Bing AI / Sidney / EdgeGPT), Microsoft Copilot Designer (aka BingImageCreator), Gemini and Groq with stream writing, requests with images, multiple languages, admin control, data logging and more!

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🚧 GPT-Telegramus is under development

😔 Currently, GPT-Telegramus doesn’t have paid ChatGPT and DALL-E support

📈 GPT-Telegramus v5 is an updated and highly refactored version of the old GPT-Telegramus

📄 Documentation is also under development! Consider reading docstring for now

🐛 If you find a bug in GPT-Telegramus, please create an Issue

p.s. Due to my studies, I don’t have much time to work on the project 😔

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😋 Support project

💜 Please support the project so that I can continue to develop it

• BTC: bc1qd2j53p9nplxcx4uyrv322t3mg0t93pz6m5lnft

• ETH: 0x284E6121362ea1C69528eDEdc309fC8b90fA5578

• ZEC: t1Jb5tH61zcSTy2QyfsxftUEWHikdSYpPoz

• Or by my music on 🟦 bandcamp

• Or message me if you would like to donate in other way 💰

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🤗 Contributors

• 💜 Sprav04ka - Tofii’skovyi’ language, Testing, Super beautiful poster, Project Logo, Motivation
• 💜 Hanssen - Markdown parsing, bard images, /chat command, caption fix, loading emoji, dynamic splitting, code block splitting, Gemini module, Docker fix, GitHub actions fix and much much more
• 💜 Sergey Krashevich - Docker, GitHub Actions
• 💜 Wahit Fitriyanto - Indonesian language
• 💜 Alexander Fadeyev - EdgeGPT Fix
• 💜 AnthroAsja - Belarusian language
• 💜 Anonymous Samurai - Ukrainian language
• 💜 Dunya Jafari - Persian language
• 💜 Dedy Rudney - French language

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📨 Project channel and demo

• You can join official project’s Telegram channel https://t.me/vestnik_labasera
• Also you can test GPT-Telegramus using official bot https://t.me/labasyor3000_bot

⚠️ Please do not overload the bot and use it only as a demo version

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🏗️ Requirements

• Python 3.10 / 3.11 (not tested on other versions)
• Unblocked access to the telegram bot official API
• Other requirements specified in the requirements.txt file

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📙 Project based on

• F33RNI/LMAO API (Unofficial open APIs): https://github.com/F33RNI/LlM-Api-Open
• Groq API (Official Python API): https://github.com/groq/groq-python
• acheong08/EdgeGPT (API): https://github.com/acheong08/EdgeGPT
• jacobgelling/EdgeGPT (API): https://github.com/jacobgelling/EdgeGPT
• acheong08/BingImageCreator (API): https://github.com/acheong08/BingImageCreator
• google/generative-ai-python (API): https://github.com/google/generative-ai-python
• python-telegram-bot (Telegram bot API): https://github.com/python-telegram-bot/python-telegram-bot

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❓ Get started

See 🐧 Running as service on linux, 🍓 Running on Raspberry Pi (ARM), 🐋 Running in Docker sections for more info

1. Install Python 3.10 / 3.11 (not tested on other versions), venv and pip
2. Download source code (clone repo)
3. Create venv python -m venv venv / python3 -m venv venv / python3.10 -m venv venv / python3.11 -m venv venv
4. Activate venv source venv/bin/activate / venv\Scripts\activate.bat
5. Check python version using python --version command
6. Install requirements pip install -r requirements.txt --upgrade
7. Carefully change all the settings in config.json file and in each *.json file inside module_configs directory. If you have questions regarding any setting, open an issue, I’ll try to add a more detailed description
8. Run main script python main.py

• 💬 ChatGPT
  • Free browser-like Chat-GPT. Currently, without extensions and image requests (text only) (because I don’t have a paid account to test it)
  • Stream response support
  • Chat history support
  • See https://github.com/F33RNI/LlM-Api-Open for more info
• 🟦 Microsoft Copilot (aka EdgeGPT aka Bing AI aka Sydney)
  • Supports conversation style /style
  • Stream response support
  • Chat history support
  • Web-browsing (probably) and sources (attributions) support
  • Accepts image requests (for lmao_ms_copilot only)
  • Send generated images (for lmao_ms_copilot only)
  • Suggestions (for lmao_ms_copilot only)
  • See https://github.com/F33RNI/LlM-Api-Open for more info
  • NOTE: Non-LMAO API (the old one ms_copilot) is deprecated! Please use lmao_ms_copilot instead
• 🎨 Microsoft Copilot Designer (DEPRECATED)
  • Bing Image Generator. Used as a separate module due to issues with the EdgeGPT module
  • Free and unlimited
• ♊ Gemini
  • Google’s AI using the Gemini Pro model
  • Chat history support
  • Requests with images (you can send an image with text to it)
  • Requests with images will not be recorded in the chat history since Google hasn’t support this
• 🔴 Groq
  • Official Python API
  • Chat history support
  • Very fast response
  • Multiple models (see /model command)

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🐧 Running as service on linux

1. Install Python 3.10 / 3.11 (not tested on other versions), venv and pip

2. Clone repo

   1. git clone https://github.com/F33RNI/GPT-Telegramus.git
   2. cd GPT-Telegramus

3. Create venv python -m venv venv / python3 -m venv venv / python3.10 -m venv venv / python3.11 -m venv venv

4. Carefully change all the settings in config.json file and in each *.json file inside module_configs directory

5. Install systemd

   1. sudo apt-get install -y systemd

6. Create new service file

   1. sudo nano /etc/systemd/system/gpt-telegramus.service

      [Unit]
      Description=GPT-Telegramus service
      After=multi-user.target
      
      [Service]
      Type=simple
      Restart=on-failure
      RestartSec=5
      
      WorkingDirectory=YOUR DIRECTORY HERE/GPT-Telegramus
      ExecStart=YOUR DIRECTORY HERE/GPT-Telegramus/run.sh
      
      [Install]
      WantedBy=multi-user.target
      
      

7. Reload systemctl daemon

   1. sudo systemctl daemon-reload

8. Enable and start service

   1. sudo systemctl enable gpt-telegramus
   2. sudo systemctl start gpt-telegramus

9. Note: Please use sudo systemctl kill gpt-telegramus and then sudo systemctl stop gpt-telegramus if only sudo systemctl stop gpt-telegramus not working

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🍓 Running on Raspberry Pi (ARM)

1. Install Python 3.11 or later (not tested) if not installed

   1. sudo apt-get update
      sudo apt-get install -y build-essential tk-dev libncurses5-dev libncursesw5-dev libreadline6-dev libdb5.3-dev libgdbm-dev libsqlite3-dev libssl-dev libbz2-dev libexpat1-dev liblzma-dev zlib1g-dev libffi-dev
      wget https://www.python.org/ftp/python/3.11.8/Python-3.11.8.tgz
      sudo tar zxf Python-3.11.8.tgz
      cd Python-3.11.8
      sudo ./configure --enable-optimizations
      sudo make -j 4
      sudo make altinstall
      

   2. Check version by typing python3.11 -V. After this, you should use python3.11 command instead of python or you can add it to the bashrc by typing echo "alias python=/usr/local/bin/python3.11" >> ~/.bashrc

2. Follow the 🐧 Running as service on linux guide

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🐋 Running in Docker

From GitHub Package

1. Clone repo or download config.json and module_configs and langs

2. Edit the config.json, set options in the files section to the path in the container (/app/config/<FILE_NAME>)

3. Run the container

   docker run -d -e TELEGRAMUS_CONFIG_FILE="/app/config/config.json" -v <YOUR_CONFIG_FOLDER>:/app/config --name gpt-telegramus --restart on-failure ghcr.io/f33rni/gpt-telegramus:latest
   

   If you want to try the preview version

   docker run -d -e TELEGRAMUS_CONFIG_FILE="/app/config/config.json" -v <YOUR_CONFIG_FOLDER>:/app/config --name gpt-telegramus --restart on-failure ghcr.io/f33rni/gpt-telegramus:edge
   

Build Manually

1. Install Docker

2. Clone repo

3. Build container

   docker buildx build -t telegramus --load -f Dockerfile .
   

4. Run the container

   docker run -d --name gpt-telegramus --restart on-failure telegramus
   

   or if you want to use a custom config

   docker run -d -e TELEGRAMUS_CONFIG_FILE="/app/config/config.json" -v <YOUR_CONFIG_FOLDER>:/app/config --name gpt-telegramus --restart on-failure telegramus
   

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🌐 Bot messages

Currently available languages

• 🇺🇸 English
• 🇷🇺 Русский
• ‍☠️ Тофийсковый
• 🇮🇩 Bahasa Indonesia
• 🇨🇳 简体中文
• 🇧🇾 Беларуская
• 🇺🇦 Українська
• فارسی 🇮🇷
• 🇪🇸 Español
• 🇻🇳 Vietnamese
• 🇫🇷 Français

You can add a new language. For that:

1. Copy any existing language file (inside langs directory)
2. Rename it according to Set2/T (3-letters code) ISO 639 https://en.wikipedia.org/wiki/List_of_ISO_639_language_codes
3. Translate each entry
4. Create a pull request 💜

You can add new lines by adding \n

⚠️ Please make sure you haven’t messed up the string formatting structure {this_type}

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🤖 Telegram bot commands

• 📄 /start - Welcome message and bot version
• ❓ /help - Show help message
• ↕️ /module - Change module to chat with
• 🧹 /clear - Clear chat history
• 🌎 /lang - Change the language
• 🆔 /chatid - Show your chat_id
• ⚙️ /model - Change model of module (Currently for 🔴 Groq module only)
• /style - Bing AI conversation style
• /chat - Send request in group chat
• Other direct module commands (please check automatically-generated list of commands inside bot)

Admin commands

• 💬 /queue - Show requests queue
• 🔃 /restart [module name, optional] - Restart specific module (and it’s config) or every module and all configs, languages and bot commands
  • Please see bot_command_restart function in bot_handler.py file for more info
• 👤 /users - Show list of all users
• 🔨 /ban <id> [reason] - Ban a user by their id with reason (optional)
• 🔓 /unban <id> - Unban a user by their id
• 📢 /broadcast <message> - Send text message to everyone except banned users

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📜 Data collecting

GPT-Telegramus has a built-in data collecting function (saves requests and responses in a files)

• For text requests / responses will be saved as plain text
• For image requests / responses will be saved as Base64-encoded image (in the same text file)

You can enable and configure data collection in config.json in data_collecting section

⚠️ Please make sure you notify your bot users that you’re collecting data

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📝 TODO

• Paid version of ChatGPT
• DALL-E (from OpenAI)
• Some other LLMs (and maybe some free GPT-4 model)

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✨ Contribution

• Anyone can contribute! Just create a pull request