ChatGPT API - Send Text Messages To ChatGPT From Anywhere

Import Flask and request, create app = Flask(__name__), and run the app with debug=True to establish the initial Flask boilerplate.

Import Twilio Twiml messaging response and set up a /sms route to handle get and post requests, parse inbound body and from, and reply with a hello message using MessagingResponse.

Leverage Heroku environment variables to securely bind a Twilio from phone number, validating incoming texts and preventing unauthorized access to your ChatGPT API tokens.

Learn to implement the OpenAI chat completion API in a Python app, configuring the OpenAI API key, using GPT-3.5-turbo, and sending/receiving SMS-style responses with a system and user messages.

Install git and homebrew on macOS via terminal, then install heroku with brew taps and brew install to set up the environment; Windows has a separate video.

Sign up for a Heroku account, navigate to the dashboard, and create a new app with a unique name to deploy your project to the cloud.

Set up a Twilio account for SMS, obtain a US toll-free number, create a Chatgpt bot messaging service, and configure a webhook to a Heroku app to reply to texts.

create and copy your OpenAI API key, keep it private, then save it as openai_api_key in your Heroku project, and add an allowed_phone_number with country code.

Deploy a python app to cloud with Heroku, initialize a git repo, add and commit, push to Heroku, then use the Twilio webhook to reply to inbound texts with ChatGPT.

Test the chatgpt messaging app by wiring a Twilio phone number to an sms webhook, sending tests, and reviewing logs in Heroku and Twilio for debugging.