# Rasa Bot for E-Commerce

This repository contains a Rasa chatbot designed to assist with e-commerce-related tasks. The chatbot is trained to interact with users, provide product information, process orders, offer customer support, and handle new features. It leverages the Rasa framework to handle natural language understanding and dialogue management, and utilizes the Transformers BERT model for enhanced language understanding.

## Features

- Interactive conversation with users for browsing products, placing orders, and getting assistance.
- Integration with an e-commerce database to retrieve product information and process orders.
- Multi-turn dialogue management for a seamless user experience.
- Natural language understanding (NLU) using Rasa NLU pipeline components, including the Transformers BERT model.
- Contextual actions to provide relevant responses based on the conversation flow.
- New Feature: Enhanced order tracking to provide real-time status updates on user orders.
- New Feature: Personalized recommendations based on user preferences and browsing history.

### Prerequisites

- Python==3.9

### Installation

1. Clone this repository:

   ```bash
   git clone https://github.com/AdvantageCommunity/RASA-BOT.git
   cd Rasa-Action-Bot-Ecommerce

2. Create and activate a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate   # On Windows: .\venv\Scripts\activate

3. Install the required dependencies:

   pip install -r requirements.txt

4. Train the Rasa NLU and Core models:

   rasa train

5. Start the Rasa Action server:

   rasa run actions

6. Start the Rasa server to interact with the chatbot:

   rasa shell

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, please feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License.

Contact

For questions or inquiries, please contact [[email protected]].