Virtual assistant for an ecommerce

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Table of Contents

1. About The Project
   • Built With
2. Usage
3. Getting Started
   • Prerequisites
   • Installation
4. Roadmap
5. Contributing
6. Collaborators
7. License
8. Contact
9. Acknowledgments

About The Project

This project involves the creation of a virtual assistant for an ecommerce, developed using Python and the Django framework. The assistant is powered by an artificial intelligence model called ChatGPT, which is integrated into the project through the OpenAI library.

The information provided for the operation of the target is stored in a file. This file contains customer conversation history, where each question is given a summary of the answers to save space. When a customer asks a question, the assistant searches the file for the information needed to provide an appropriate answer.

Customer conversation history is managed through user login. This means that conversation information is associated with a specific user, allowing the assistant to personalize its responses based on that user's past interactions.

There are some restrictions for this project. The recipient is designed to answer e-commerce related questions only. It cannot handle questions outside this scope.

• Openai

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Built With

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Usage

1.Login Page.

2.Home Page.

3. Project presentation.

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Prerequisites

• Python
• OPENAI-API-KEY

Getting Started

Installation

1. Clone the repo

   git clone https://github.com/HeitorLouzeiro/chatbot-django-chatgpt.git

2. Access the project folder in terminal/cmd

   cd chatbot-django-chatgpt

3. Create a virtualenv with Python 3.9.0.

   python -m venv venv

4. Activate virtualenv.

   • Ubunto

   source venv/bin/activate

   • MacOs

   source venv/bin/activate

   • Windows

    venv\scripts\activate

5. Install as dependencies.

    pip install -r requirements.txt

6. Configure an instance with .env.

    cp .env-example .env

   or

   Copy the env-example to a new file called .env and then open it and change the variable values ​​if necessary

7. Run the migrations.

    python manage.py migrate

8. Create a Superuser.

    python manage.py createsuperuser

9. Run the application.

    python manage.py runserver

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Roadmap

• Home Page.
• Login Page.
• Logout Page.
• Conversation history.
• Conversation summarizer.

See the open issues for a full list of proposed features (and known issues).

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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/Improvements)
3. Commit your Changes (git commit -m 'Add my new Enhancements')
4. Push to the Branch (git push origin feature/Improvements)
5. Open a Pull Request

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Collaborators

We thank the following people who contributed to this project:

Heitor Louzeiro

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License

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

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Contact

Project Link: https://github.com/HeitorLouzeiro/chatbot-django-chatgpt

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