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This was a project to see how GPT-4 could build something complex. Humans wrote 0 lines of code.

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GearUp Engineers Store

This Flask web application serves as an online store for engineering products. The key features and components of this application include:

1. Frontend Interface: Displays a list of available products.
2. Search Functionality: Allows users to search for specific products.
3. ShipStation API Integration: Fetches product information from ShipStation.
4. Chatbot Feature: Utilizes OpenAI's GPT-4 model to assist users with questions about the store and ShipStation app.
5. Caching Mechanism: Implements flask_caching to cache the results of API calls for a specified duration.
6. SQLite Database: Stores chat messages.
7. Dockerfile: Containerizes the application.
8. Flask Routing and Template Inheritance: Includes a blog page and store page.
9. README.md: Provides information on the project, setup, and environment variables.
10. Unique and Creative Products: Tailored for engineers, including alcoholic beverages.

The application provides a user-friendly interface for engineers to browse and purchase products while also offering assistance through the integrated chatbot feature.

Features

• Fetches product inventory from ShipStation API
• Product search with real-time filtering
• Stripe Checkout integration for secure payments
• Success modal with random funny thank you messages and emojis
• ShipStation API integration for order placement

Getting Started

Prerequisites

• Python 3.7+
• Flask

Setting Up Environment Variables

To run this application, you will need to set up the following environment variables:

1. OPENAI_API_KEY: Your OpenAI API key, which can be obtained from the OpenAI platform.
2. SHIPSTATION_API_KEY: Your ShipStation API key, found in your ShipStation account settings.
3. SHIPSTATION_API_SECRET: Your ShipStation API secret, also found in your ShipStation account settings.

You can set these environment variables using a .env file or by exporting them directly in your terminal. Here's an example of how to create a .env file:

OPENAI_API_KEY=your_openai_api_key
SHIPSTATION_API_KEY=your_shipstation_api_key
SHIPSTATION_API_SECRET=your_shipstation_api_secret

Installation

Create a virtual environment, activate it, install the required packages, and run the Flask app:

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt
export FLASK_APP=app.py
export FLASK_ENV=development
flask run

Create a .env file in the root directory and add your ShipStation API key:

SHIPSTATION_API_KEY=your_shipstation_api_key
SHIPSTATION_API_SECRET=your_shipstation_api_secret

The application should now be running on http://localhost:5000.

Contributing Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License MIT