A Telegram LLM bot

Try this simple bot created from this template.

Deploy your Telegram bot in 3 simple steps

1. Create a flow function
2. Configure the flow function to access the Telegram bot
3. Configure the flow function to access an LLM backend

0 Prerequisites

You will need to #to flows.network from your GitHub account. It is free.

You also need a bot token to access the Telegram API. If you don't already have one, go to Telegram to get a bot token from @botfather.

1 Create a flow function

Just fork this repo to your own GitHub account.

Then, from flows.network, you can "Create a Flow" and select your forked repo. It will create a flow function based on the code in your forked repo.

Click on the "Advanced" button to see configuration options for the flow function.

2 Configure the flow function to access the Telegram bot

Prerequisites

• You will need to bring your own OpenAI API key. If you do not already have one, # here.

• You also need a bot token to access the Telegram API. If you don't already have one, go to Telegram to get a bot token from @botfather.

Deploy your Telegram ChatGPT bot in 3 steps

1. Create a bot from a template
2. Add your ChatGPT API key
3. Add the telegram bot token

1 Create a bot from a template

Just click here

Here you can see three variables. You can customize the system_prompt variable to prompt ChatGPT.

Click on the Create and Build button.

2 Add your OpenAI API key

You will now set up OpenAI integration. Click on Connect, and enter your key.

Close the tab and go back to the flow.network page once you are done. Click on Continue.

3 Add the Telegram bot token

You will now set up Telegram integration. Enter your Telegram token here.

Click on Deploy button.

Give it a try.

As soon as the flow function's status becomes ready and the flow's status becomes running, the Telegram Telegram bot goes live. Go ahead and send a private message to the bot! You can also invite this bot to your channel/group.