A project that utilizes OpenAI's GPT-3.5 language model to provide automated responses to incoming messages on WhatsApp. It uses Flask to create a web server that listens for incoming messages, processes them using the OpenAI API, and sends back appropriate responses.
The goal of this project is to create a versatile chatbot that can handle a wide range of user inputs and provide meaningful and helpful responses.
- Receives incoming messages from WhatsApp
- Utilizes OpenAI's GPT-3.5 language model for automated responses
- Provides flexible and versatile conversation capabilities
- Python 3.6 or above
- Flask
- Twilio (for WhatsApp integration)
- ngrok (to forward the local port to a public URL)
- OpenAI API key
- Clone the repository:
git clone https://github.com/theaadya/mybot.git - Navigate to the project directory:
cd mybot - Install the required dependencies.
- Obtain an OpenAI API key: Follow the OpenAI documentation to generate an API key.
- Open the
app.pyfile in a text editor. - Replace
"YOUR_API_KEY"with your actual OpenAI API key. - Setup your Twilio account and obtain the contact number for your ChatBot.
- Start the Flask server:
python app.py - Set up a public URL using ngrok, refer here: https://dashboard.ngrok.com/get-started/setup (replace port with 5003)
- Configure the Twilio webhook (avaialble in Sandbox Settings) to point to your server's public URL:
ngrok_public_URL/webhook - Ensure the server is accessible from the internet.
- Test the chat assistant by sending messages to your WhatsApp number.
Note: Make sure that you have API tokens (free/paid) available for processing the requests.
Contributions are welcome! If you have any ideas, suggestions, or improvements, please submit a pull request or open an issue on the GitHub repository.