/chatbot-through-openai

Creating a chatbot for your e-commerce business is now easier than ever with OpenAI, bypassing complex deep learning algorithms

Primary LanguageJupyter NotebookMIT LicenseMIT

ShopBot: Building an E-commerce Chatbot with Python and OpenAI

Author Medium GitHub Kaggle LinkedIn

Table of Contents

  1. Introduction
  2. Getting Started
  3. How ShopBot Works
  4. Chat with ShopBot
  5. Reference
  6. License
  7. Contributing

Introduction

Make a chatbot for your online store effortlessly using OpenAI. This easy-to-follow guide simplifies the process, whether you're a seasoned developer or a beginner. Boost customer interaction and streamline the online shopping journey with your own AI-powered ShopBot. Turn your e-commerce site into a customer-friendly destination without hassle!

ecom_chatbot

Getting Started

To interact with ShopBot and explore our product catalog, you need to have your OpenAI API key. Follow these steps to get started:

  1. Clone the repository to your local machine.

  2. Install the required dependencies using pip install -r requirements.txt.

  3. Set up your OpenAI API key in the .env file.

    MY_OPENAI_KEY=your_openai_api_key

  4. Run the code and start chatting with ShopBot!

How ShopBot Works

ShopBot utilizes OpenAI's powerful language model to engage in natural and friendly conversations with customers. It can provide information about products, recommend items, and guide users through the shopping experience.

Chat with ShopBot

Interact with ShopBot through the provided chat interface. Ask about products, seek recommendations, or inquire about ongoing promotions. ShopBot is here to make your online shopping journey enjoyable!

demo_shopbot

In this project, I'm using comet_llm to keep track of what users ask, how the bot responds, and how long each interaction takes. The information is logged to this comet project. This helps in improving the model for future training. You can learn more about experiment tracking with Comet LLM.

Reference:

Get UNLIMITED access to every story on Medium with just $1/week ▶ HERE

For a more advanced e-commerce chatbot, additional training is necessary. Comet LLM simplifies the development of Chatbot Language Models, enhancing your workflow by serving as a valuable tool for logging, visualizing prompts and chains. It helps identify effective strategies, streamline troubleshooting, and ensure workflow reproducibility, providing insights for efficient model development and optimization. READ MORE

License

This project is licensed under the MIT License. Feel free to use and modify the code as needed.

Contributing

You are welcomed for contributions! If you have ideas for improvements or new features, please open an issue or submit a pull request. Let's make ShopBot even better together! 🚀

Your support by giving this project a ⭐ is greatly appreciated and helps spread knowledge to others. If you found the article interesting, feel free to comment with your insights and share it with your network.

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Thank you for your interest in this project, and I hope you find it informative and valuable for your machine learning journey.