OpenAI Python Wrapper

A Python backend service for seamless OpenAI API integration.

Developed with the software and tools below.

📑 Table of Contents

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

📍 Overview

This repository contains the backend code for the OpenAI Python Wrapper, a Python service designed to simplify the use of OpenAI's API for developers. This service offers a user-friendly interface for sending requests to OpenAI's API and receiving structured responses, making it easier for developers to integrate AI capabilities into their Python applications.

📦 Features

	Feature	Description
⚙️	Architecture	The service follows a modular architectural pattern with separate directories for different functionalities, ensuring easier maintenance and scalability.
📄	Documentation	This repository includes a README file that provides a detailed overview of the project, its dependencies, and usage instructions.
🔗	Dependencies	The codebase relies on various external libraries and packages such as fastapi, uvicorn, openai, pydantic, and sqlalchemy, which are essential for building and managing the API, interacting with OpenAI, and managing data.
🧩	Modularity	The modular structure allows for easier maintenance and reusability of the code, with separate directories and files for different functionalities such as services, routes, models, and utilities.
🧪	Testing	Unit tests using pytest are implemented to ensure the reliability and robustness of the codebase.
⚡️	Performance	The service is optimized for efficiency, leveraging asynchronous operations with FastAPI.
🔐	Security	Security is enhanced by implementing measures such as API key handling through environment variables and input validation using Pydantic.
🔀	Version Control	Utilizes Git for version control.
🔌	Integrations	The service seamlessly integrates with the OpenAI API and leverages the openai library for efficient interaction.
📶	Scalability	Designed for scalability, using a framework like FastAPI which supports asynchronous operations and can easily handle increased user load and data volume.

📂 Structure

openai-python-wrapper/
├── requirements.txt
├── .env
├── main.py
├── models/
│   └── base.py
├── services/
│   └── openai_service.py
├── utils/
│   └── openai_utils.py
├── routes/
│   └── api_routes.py
├── tests/
│   ├── test_routes.py
│   ├── test_models.py
│   ├── test_utils.py
│   └── test_services.py
├── commands.json
├── startup.sh
├── logging.conf
└── .gitignore

💻 Installation

🔧 Prerequisites

• Python 3.9+
• pip package manager
• PostgreSQL (optional)

🚀 Setup Instructions

1. Clone the repository:

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

2. Install dependencies:

   pip install -r requirements.txt

3. Set up environment variables:

   • Create a .env file in the project root and fill in the required values:

     OPENAI_API_KEY=YOUR_OPENAI_API_KEY_HERE
     DATABASE_URL=postgresql://user:password@host:port/database

4. (Optional) Set up the PostgreSQL database:

   • Follow the instructions for setting up PostgreSQL on your system.
   • Update the DATABASE_URL in the .env file with your PostgreSQL connection details.

🏗️ Usage

🏃‍♂️ Running the MVP

1. Start the development server:

   uvicorn app:app --host 0.0.0.0 --port 8000 --reload

🌐 Hosting

🚀 Deployment Instructions

Deploying to Heroku

1. Install the Heroku CLI:

   npm install -g heroku

2. Login to Heroku:

   heroku login

3. Create a new Heroku app:

   heroku create OpenAI-Python-Wrapper-production

4. Set up environment variables:

   heroku config:set OPENAI_API_KEY=YOUR_OPENAI_API_KEY_HERE
   heroku config:set DATABASE_URL=your_database_url_here

5. Deploy the code:

   git push heroku main

6. Run database migrations (if applicable):

   heroku run python manage.py migrate

🔑 Environment Variables

• OPENAI_API_KEY: Your OpenAI API key.
• DATABASE_URL: Connection string for your PostgreSQL database (if applicable).

📜 API Documentation

🔍 Endpoints

• POST /api/generate_text

  • Description: Generates text using OpenAI's API.
  • Body:

    {
      "prompt": "Write a short story about a cat.",
      "model": "text-davinci-003",
      "max_tokens": 100
    }

  • Response:

    {
      "text": "Once upon a time, there was a fluffy cat named Mittens..."
    }

• POST /api/translate_text

  • Description: Translates text between languages using OpenAI's API.
  • Body:

    {
      "text": "Hello, world!",
      "target_language": "fr"
    }

  • Response:

    {
      "translation": "Bonjour le monde !"
    }

• POST /api/complete_code

  • Description: Completes code snippets using OpenAI's API.
  • Body:

    {
      "prompt": "def greet(name):\n  print("
    }

  • Response:

    {
      "code": "def greet(name):\n  print(f\"Hello, {name}!\")"
    }

📜 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-Python-Wrapper

📞 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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