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llm-ecommerce-chatbot's Introduction

CHATBOT PROJECT.

TABLE OF CONTENTS.

  • About the project.
  • Built with.
  • Getting Started.
  • Prerequisites.
  • installation.
  • Usage.

The Chatbot Project is an exciting endeavor aimed at creating a conversational agent capable of providing assistance, answering questions, and engaging in meaningful conversations. This chatbot is designed to serve a variety of purposes, from customer support to entertainment and beyond.

TABLE OF CONTENTS

  • About The Project
  • Built With
  • Key Objectives
  • Prerequisites
  • Installation
  • Usage
  • Roadmap
  • Contributing
  • License
  • Contact

About The Project.

The Chatbot Project is an exciting endeavor aimed at creating a conversational agent capable of providing assistance, answering questions, and engaging in meaningful conversations. This chatbot is designed to serve a variety of purposes, from customer support to entertainment and beyond.

Key Objectives.

  • User Engagement: Create a chatbot that engages users in natural and meaningful conversations.
  • Knowledge Base: Equip the chatbot with a vast knowledge base to answer questions on a wide range of topics. Customization: Allow users to customize the chatbot's behavior and responses.
  • User-Friendly: Design an intuitive and user-friendly interface for interacting with the chatbot. Of course, no one template will serve all projects since your needs may be different. So I'll be adding more in the near future. You may also suggest changes by forking this repo and creating a pull request or opening an issue. Thanks to all the people have contributed to expanding this template!

Built With

This project is built with python3.

  • [![Python][python]][python]

Features.

  • Natural Language Processing: The chatbot uses advanced NLP techniques to understand and generate human-like responses.
  • Multi-Purpose: Whether you need assistance, information, or just want to chat, the chatbot is here for you.
  • Customizable: Users can personalize the chatbot's name, and behavior to suit their preferences.
  • Limited Knowledge Base: The chatbot is equipped with a limited database of information, particular to a specific web application.

Installation

To get started with the Chatbot, follow these steps:

  1. Clone the Repository: Clone this repository to your local machine using:
git clone https://github.com/danielsampah99/ecommerce-chatbot.git 
  1. Set directory: Navigate to the project's directory.
cd ecommerce-chatbot
  1. Virtual environment: Create a virtual environment for the project to avoid clash with globally installed packages.
python -m venv name-of-environment
  • Activate the virtual environment on Windows using venv\scripts\activate and source venv/bin/activate on macOS and Linux.
  1. Dependencies: Install project dependencies from the requirements.txt file
pip install -r requirements.txt
  1. Run the script and start chatting.
python main.py  # on windows 

python3 main.py  # on linux and macos

Configuration: Customize the chatbot's behavior and appearance by modifying the configuration files.

Training: Train the chatbot using a suitable dataset to improve its conversational skills.

Launch: Launch the chatbot and start chatting!

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE.txt for more information.

Contact

Daniel Sampah - danielsampah99 - [email protected]

Project Link: https://github.com/danielsampah99/ecommerce-chatbot

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