Chatbot-GPT3

Solution for Namma Yatri Open Mobility Challenge

Personalized WhatsApp Chatbot using Python, Twilio, Flask, Ngrok, and AWS

Overview

This project demonstrates the development of a personalized one-to-one WhatsApp chatbot using Python, Twilio, Flask, Ngrok, and AWS. The chatbot is designed to interact with users on the WhatsApp platform, providing a seamless and personalized conversational experience. The integration of the OpenAI API enhances the chatbot's capabilities, allowing it to understand and respond to diverse user needs.

Features

• WhatsApp Integration: Utilizes Twilio's WhatsApp API to enable communication with users on the popular messaging platform.

• Flask Web Server: Implements a Flask web server to handle incoming messages, process requests, and orchestrate interactions with the chatbot.

• Ngrok for Local Development: Uses Ngrok to expose the local Flask server to the internet, enabling Twilio to communicate with the chatbot during development.

• OpenAI API Integration: Enhances the chatbot's natural language processing capabilities by integrating the OpenAI API. This allows the chatbot to understand and generate responses based on a wide range of user inputs.

• AWS Deployment: Hosts the chatbot on AWS to ensure scalability, reliability, and accessibility.

Dependencies

• Python 3.x
• Flask
• Twilio
• Ngrok
• OpenAI API key
• AWS account (for deployment)

Install the required packages using the following command:

pip install Flask twilio openai

Configuration

1. Obtain Twilio credentials and set up a WhatsApp sandbox.

2. Obtain an OpenAI API key from the OpenAI platform.

3. Configure the necessary credentials in the config.py file:

# Twilio configuration
TWILIO_ACCOUNT_SID = 'your_twilio_account_sid'
TWILIO_AUTH_TOKEN = 'your_twilio_auth_token'
TWILIO_PHONE_NUMBER = 'your_twilio_phone_number'

# OpenAI API configuration
OPENAI_API_KEY = 'your_openai_api_key'

Usage

1. Clone the repository:

git clone https://github.com/Aashutosh-922/Chatbot-GPT3.git```

2. Navigate to the project directory:

```bash
cd Chatbot-GPT3

3. Run the Flask server:

python bot1.py

4. Expose the local server using Ngrok:

ngrok http 5000

5. Configure the Twilio WhatsApp sandbox with the Ngrok URL.

6. Start chatting with the personalized WhatsApp chatbot!

Deployment on AWS

Follow AWS documentation to deploy the chatbot on an AWS instance, ensuring proper security configurations and scalability.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Special thanks to Twilio, Flask, Ngrok, OpenAI, and AWS for providing the tools and services that make this project possible.
• Thanks to the open-source community for valuable contributions and insights.

Feel free to contribute to this project by submitting issues or pull requests. Your feedback and enhancements are highly appreciated!