OpenAI-Wrapper-API-MVP

A Python backend service streamlining OpenAI API interactions for easier AI integration.

Developed with the software and tools below.

📑 Table of Contents

• 📍 Overview
• 📦 Features
• 📂 Structure
• 💻 Installation
• 🏗️ Usage
• 🌐 Hosting
• 📄 License
• 👏 Authors

📍 Overview

This repository contains a Minimum Viable Product (MVP) called "OpenAI-Wrapper-API-MVP" that provides a simple and efficient Python backend service designed to act as a wrapper for OpenAI API requests, simplifying the process of interacting with OpenAI's powerful language models.

📦 Features

	Feature	Description
⚙️	Architecture	The codebase follows a modular architectural pattern, separating concerns into different components for easier maintenance and scalability.
📄	Documentation	The repository includes a comprehensive README file providing a detailed overview of the MVP, its dependencies, and usage instructions.
🔗	Dependencies	The project utilizes key Python packages like flask, openai, requests, dotenv, and flask-restful for web development, API interaction, and configuration.
🧩	Modularity	The codebase employs a modular structure, with separate modules for API routes, services (e.g., OpenAI interaction), and utility functions.
🧪	Testing	The project includes unit tests using pytest for testing core functionalities, ensuring the reliability of the codebase.
⚡️	Performance	The service is optimized for performance through techniques like environment variable management, API request caching, and optimized response handling.
🔐	Security	Security is prioritized through secure API key management using environment variables and a .env file, protecting sensitive information.
🌐	Scalability	The service is designed for scalability, with the potential to utilize cloud-based deployments and distributed caching for handling increased traffic.
🔌	Integrations	The service integrates seamlessly with the OpenAI API, utilizing the official OpenAI Python library for efficient communication.

📂 Structure

OpenAI-Wrapper-API-MVP
├── requirements.txt
├── .env
├── config.py
├── app.py
├── models
│   └── models.py
├── services
│   └── openai_service.py
├── routes
│   └── api.py
├── utils
│   └── logger.py
└── tests
    └── test_openai_service.py

💻 Installation

🔧 Prerequisites

• Python 3.7+
• pip (usually included with Python installations)

🚀 Setup Instructions

1. Clone the Repository:

   git clone https://github.com/coslynx/OpenAI-Wrapper-API-MVP.git
   cd OpenAI-Wrapper-API-MVP

2. Install Dependencies:

   pip install -r requirements.txt

3. Set up Environment Variables:
   • Create a .env file (if one doesn't exist) based on the .env.example provided.
   • Replace YOUR_API_KEY_HERE in the .env file with your actual OpenAI API key from https://platform.openai.com/account/api-keys.

🏗️ Usage

🏃‍♂️ Running the MVP

1. Start the Server:

   python app.py

2. The service will be running at http://localhost:5000.

⚙️ Configuration

• config.py: Contains basic configuration settings for the application.
• .env: Stores sensitive environment variables, such as the OpenAI API key, for secure management.
• To modify key settings:
  • Update the appropriate values in the .env file.
  • Restart the application to apply the changes.

📚 Examples

• Generating Text:

  curl -X POST http://localhost:5000/generate \
  -H "Content-Type: application/json" \
  -d '{"prompt": "Write a short story about a cat who loves to play with yarn.", "model": "text-davinci-003"}'

🌐 Hosting

🚀 Deployment Instructions

1. Install gunicorn (if not already installed):

   pip install gunicorn

2. Create a Procfile:

   web: gunicorn app:app
   

3. Choose a hosting platform:
   • Heroku: https://www.heroku.com/
   • AWS Elastic Beanstalk: https://aws.amazon.com/elasticbeanstalk/
   • Google App Engine: https://cloud.google.com/appengine/
   • Or another platform of your choice.
4. Follow the deployment instructions for your chosen platform:
   • Heroku:
     • heroku create [app-name]
     • git push heroku main
   • AWS Elastic Beanstalk:
     • Create a new application.
     • Configure the environment and deploy the code.
   • Google App Engine:
     • Create a new application.
     • Configure the environment and deploy the code.

🔑 Environment Variables

• OPENAI_API_KEY: Your OpenAI API key (required).
• DEBUG: (Optional) Set to True for enabling debug mode during development.

📜 License & Attribution

📄 License

This Minimum Viable Product (MVP) is licensed under the GNU AGPLv3 license.

🤖 AI-Generated MVP

This MVP was entirely generated using artificial intelligence through CosLynx.com.

No human was directly involved in the coding process of the repository: OpenAI-Wrapper-API-MVP

📞 Contact

For any questions or concerns regarding this AI-generated MVP, please contact CosLynx at:

• Website: CosLynx.com
• Twitter: @CosLynxAI

🌐 CosLynx.com

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