Telegram Chat Bot with GPT features

This project is a Telegram bot that provides users with the ability to communicate with a neural networks using the features of ChatGPT and other APIs.

Link to bot

Functionality:

• Communicating with ChatGPT: Users can send text messages to the bot, and receive responses generated by ChatGPT (or other APIs).
• Image generation: The bot can generate images from a user's text description using the FusionBrain API.
• Context Memoization: The bot remembers the context of the last 10 messages in a conversation with each user, allowing for a more natural dialog.
• Reset Context: Users can reset the context of a conversation using the /resetcontext command.
• User Logging: Information about users and their last post is stored in Google Table.

Technologies:

• Node.js: The server side of the bot is written in Node.js.
• Telegram Bot API: Used to interact with Telegram API.
• OpenAI, FusionBrain, Groq, G4F APIs: Used to access the neural network.
• Google Sheets API: Used to record information about users and their messages.

Project Structure:

• index.js: The main project file that starts the bot and handles incoming messages.
• botConfig.js: Contains configuration for connecting to Telegram Bot API.
• handlers.js: Contains functions to process user messages, including saving context and sending requests to the API.
• messagesDB.js: Implements a simple database for storing message context.
• textMessages.js: Contains text messages used by the bot.
• utils.js: Contains helper functions such as writing data to Google Table.
• api/: Folder containing configuration files for various APIs:
  • openaiAPIConfig.js: Configuration for OpenAI APIs.
  • g4fAPIConfig.js: Configuration for G4F API.
  • fusionBrainAPIConfig.js: Configuration for FusionBrain API.
  • groqCloudAPIConfig.js: Configuration for Groq Cloud API.

Project startup:

1. Clone the project repository.
2. Install the dependencies: npm install.
3. Create an .env file and add the following environment variables described in .env.example file
4. Generate the googleCredentials.json file on Google Cloud Platform.
5. Run the project: npm run pm_start.

Additional information:

• The project uses exponential-backoff to resend API requests in case of errors.
• You can change the list of APIs used by adding or removing the corresponding configuration files in the api folder.

Conclusion:

This project is a simple but functional Telegram bot that demonstrates the possibilities of using ChatGPT and other APIs to create interactive bots. You can use this project as a starting point for creating your own bots with advanced functionality.