Overheard bot

Telegram bot enabling voice journaling.

Forked from @jxnl's repo, jxnl/vercel-telegram-gpt.

Setting up your Flask App

Clone this repository
Create a .env file and add your Telegram bot token OpenAI API key
Optionally you can also add a OpenAI API key to enable the /gpt command
Create a virtual environment by running python3 -m venv env
Activate the virtual environment by running source env/bin/activate
Install the required packages by running pip install -r requirements.txt
Visit the telebot docs to get a rundown on how to make more complex responses.

Deployment on Vercel

Connect your GitHub repository to Vercel or
Run npm i -g vercel to install vercel
Run vercel auth to authenticate
Run vercel the first time to set up the itegrationto deploy the app
Run vercel dev to test the application locally
Run vercel secrets add [secret-name] [secret-value] to set your tokens
Run vercel deploy to deploy the application as a preview

Setting up Webhooks

Run the app.py script use the URL of your Vercel-deployed app as the webhook URL

Implementing GPT-3

In the app.py file, import the OpenAI package and Telebot package
Implement the function for calling the GPT-3 API and generating a response
In the Telegram bot handling function, call the GPT-3 function and use the generated response as the bot's reply using telebot

Conclusion

Congratulations, you have successfully created and deployed a Telegram bot using Flask, Webhooks, and Vercel. You have also added the functionality of GPT-3 to generate responses for your bot using Telebot.