Hi everyone, this is repository for my personal demo project on connecting Twilio and OpenAI to provide answers to all the users questions using OpenAI GPT-3. This is written in Python and served with Flask. This bot can only handle:

• text messgaes

I have recorded a quick video on the setup of this chat-bot, in case you want to replicate the work, you can watch it here.

There are couple of things that you need before you get started following this repository.

• OpenAI API key, since it is open to all, you can create an account here and access the key.
• You need a Twilio project, you can get Account SID and Auth Token for that project, we will need this to make requests. You can get it from here.
• API requesting application like Postman, Insomnia, etc.
• NGROK for local testing.

To replicate the work of this repository and run it locally, you need to follow these steps:

• create a .env file inside the root directory, create these environmental variables:

  TWILIO_ACCOUNT_SID=YOUR ACCOUNT SID
  TWILIO_AUTH_TOKEN=YOUR AUTH TOKEN
  OPENAI_API_KEY=YOUR OPENAI API KEY
  FROM=whatsapp:+14155238886
  

This FROM variable in the .env file is same for the Twilio WhatsApp Sandbox.

• create a virtual environment and activate it before installing the packages
• install all the required dependencies from the requirements.txt file

pip install -r requirements.txt

• run the server with either of the following commands

python run.py

gunicorn run:app

• start NGROK engine on the same port as the python application is running.
• provide the NGROk urlon Twilio WhatsApp Sandbox for all incoming request.
• test the setup using your WhatsApp

I am Raj Kapadia, I am passionate about AI/ML/DL and their use in different domains, I also love to build chatbots using Google Dialogflow ES/CX, I have backend development experience with Python[Flask], and NodeJS[Express] For any work, you can reach out to me at...

• LinkedIn
• Fiverr
• Upwork
• Youtube